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Wyszukujesz frazę ""ARTIFICIAL intelligence"" wg kryterium: Temat


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Tytuł :
Changes in software as a medical device based on artificial intelligence technologies.
Autorzy :
Zinchenko V; The Department of Innovative Technologies, State Budget-Funded Health Care Institution of the City of Moscow 'Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department', 24 Petrovka Str., Bldg. 1, 127051, Moscow, Russia.
Chetverikov S; The Department of Medical Informatics, Radiomics and Radiogenomics, State Budget-Funded Health Care Institution of the City of Moscow 'Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department', 24 Petrovka Str., Bldg. 1, 127051, Moscow, Russia.
Akhmad E; The Department of Innovative Technologies, State Budget-Funded Health Care Institution of the City of Moscow 'Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department', 24 Petrovka Str., Bldg. 1, 127051, Moscow, Russia. .
Arzamasov K; The Department of Medical Informatics, Radiomics and Radiogenomics, State Budget-Funded Health Care Institution of the City of Moscow 'Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department', 24 Petrovka Str., Bldg. 1, 127051, Moscow, Russia.
Vladzymyrskyy A; Deputy Director for Science, State Budget-Funded Health Care Institution of the City of Moscow 'Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department', 24 Petrovka Str., Bldg. 1, 127051, Moscow, Russia.
Andreychenko A; Department of Physics and Engineering, ITMO University, Kronverkskiy Prospekt, 49, 197101, Saint Petersburg, Russia.; The Department of Medical Informatics, Radiomics and Radiogenomics, State Budget-Funded Health Care Institution of the City of Moscow 'Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department', 24 Petrovka Str., Bldg. 1, 127051, Moscow, Russia.
Morozov S; Radiology, State Budget-Funded Health Care Institution of the City of Moscow 'Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department', 24 Petrovka Str., Bldg. 1, 127051, Moscow, Russia.
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Źródło :
International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2022 Oct; Vol. 17 (10), pp. 1969-1977. Date of Electronic Publication: 2022 Jun 13.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Software*
Humans
Czasopismo naukowe
Tytuł :
AI-based prediction of new binding site and virtual screening for the discovery of novel P2X3 receptor antagonists.
Autorzy :
Kang KM; School of Life Sciences, Gwangju Institute of Science and Technology, 123 Cheomdangwagi-ro, Buk-gu, Gwangju, 61005, South Korea.
Lee I; School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, 123 Cheomdangwagi-ro, Buk-gu, Gwangju, 61005, South Korea.
Nam H; School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, 123 Cheomdangwagi-ro, Buk-gu, Gwangju, 61005, South Korea. Electronic address: .
Kim YC; School of Life Sciences, Gwangju Institute of Science and Technology, 123 Cheomdangwagi-ro, Buk-gu, Gwangju, 61005, South Korea. Electronic address: .
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Źródło :
European journal of medicinal chemistry [Eur J Med Chem] 2022 Oct 05; Vol. 240, pp. 114556. Date of Electronic Publication: 2022 Jul 01.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Purinergic P2X Receptor Antagonists*
Binding Sites ; Drug Discovery ; Ligands ; Molecular Docking Simulation ; Molecular Dynamics Simulation ; Protein Binding
Czasopismo naukowe
Tytuł :
Data-Driven Dental, Oral, and Craniofacial Analytics: Here to Stay.
Autorzy :
Schwendicke F; Department of Oral Diagnostics, Digital Health, Health Services Research, Charité - Universitätsmedizin, Berlin, Germany.
Marazita ML; Center for Craniofacial and Dental Genetics, Department of Oral and Craniofacial Sciences, School of Dental Medicine, and Department of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
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Źródło :
Journal of dental research [J Dent Res] 2022 Oct; Vol. 101 (11), pp. 1255-1257.
Typ publikacji :
Editorial
MeSH Terms :
Artificial Intelligence*
Machine Learning*
Opinia redakcyjna
Tytuł :
Artificial intelligence software available for medical devices: surgical phase recognition in laparoscopic cholecystectomy.
Autorzy :
Shinozuka K; Faculty of Information Engineering, Department of Information and Systems Engineering, Fukuoka Institute of Technology, 1-30-1 Wajiro higashi, Higashi-ku, Fukuoka, Fukuoka, 811-0295, Japan.
Turuda S; Faculty of Information Engineering, Department of Information and Systems Engineering, Fukuoka Institute of Technology, 1-30-1 Wajiro higashi, Higashi-ku, Fukuoka, Fukuoka, 811-0295, Japan.
Fujinaga A; Faculty of Medicine, Department of Gastroenterological and Pediatric Surgery, Oita University, Oita, Japan.
Nakanuma H; Faculty of Medicine, Department of Gastroenterological and Pediatric Surgery, Oita University, Oita, Japan.
Kawamura M; Faculty of Medicine, Department of Gastroenterological and Pediatric Surgery, Oita University, Oita, Japan.
Matsunobu Y; Faculty of Information Engineering, Department of Information and Systems Engineering, Fukuoka Institute of Technology, 1-30-1 Wajiro higashi, Higashi-ku, Fukuoka, Fukuoka, 811-0295, Japan.
Tanaka Y; Customer Solutions Development, Platform Technology, Olympus Technologies Asia, Olympus Corporation, Tokyo, Japan.
Kamiyama T; Customer Solutions Development, Platform Technology, Olympus Technologies Asia, Olympus Corporation, Tokyo, Japan.
Ebe K; Customer Solutions Development, Platform Technology, Olympus Technologies Asia, Olympus Corporation, Tokyo, Japan.
Endo Y; Faculty of Medicine, Department of Gastroenterological and Pediatric Surgery, Oita University, Oita, Japan.
Etoh T; Faculty of Medicine, Department of Gastroenterological and Pediatric Surgery, Oita University, Oita, Japan.
Inomata M; Faculty of Medicine, Department of Gastroenterological and Pediatric Surgery, Oita University, Oita, Japan.
Tokuyasu T; Faculty of Information Engineering, Department of Information and Systems Engineering, Fukuoka Institute of Technology, 1-30-1 Wajiro higashi, Higashi-ku, Fukuoka, Fukuoka, 811-0295, Japan. .
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Źródło :
Surgical endoscopy [Surg Endosc] 2022 Oct; Vol. 36 (10), pp. 7444-7452. Date of Electronic Publication: 2022 Mar 09.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Cholecystectomy, Laparoscopic*
Algorithms ; Humans ; Neural Networks, Computer ; Software
Czasopismo naukowe
Tytuł :
Artificial intelligence based image quality enhancement in liver MRI: a quantitative and qualitative evaluation.
Autorzy :
Zerunian M; Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy.
Pucciarelli F; Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy.
Caruso D; Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy.
Polici M; Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy.
Masci B; Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy.
Guido G; Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy.
De Santis D; Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy.
Polverari D; Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy.
Principessa D; Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy.
Benvenga A; Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy.
Iannicelli E; Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy.
Laghi A; Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome - Sant'Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189, Rome, Italy. .
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Źródło :
La Radiologia medica [Radiol Med] 2022 Oct; Vol. 127 (10), pp. 1098-1105. Date of Electronic Publication: 2022 Sep 07.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Echo-Planar Imaging*/methods
Adult ; Aged ; Diffusion Magnetic Resonance Imaging/methods ; Female ; Humans ; Image Enhancement/methods ; Liver/diagnostic imaging ; Magnetic Resonance Imaging ; Middle Aged ; Prospective Studies ; Reproducibility of Results
Czasopismo naukowe
Tytuł :
Federated Learning in Dentistry: Chances and Challenges.
Autorzy :
Rischke R; Department of Artificial Intelligence, Fraunhofer Heinrich Hertz Institute, Berlin, Germany.
Schneider L; Department of Oral Diagnostics, Digital Health and Health Services Research, Charité-Universitätsmedizin, Berlin, Germany.; ITU/WHO Focus Group on AI for Health, Topic Group Dental Diagnostics and Digital Dentistry, Geneva, Switzerland.
Müller K; Department of Artificial Intelligence, Fraunhofer Heinrich Hertz Institute, Berlin, Germany.
Samek W; Department of Artificial Intelligence, Fraunhofer Heinrich Hertz Institute, Berlin, Germany.
Schwendicke F; Department of Oral Diagnostics, Digital Health and Health Services Research, Charité-Universitätsmedizin, Berlin, Germany.; ITU/WHO Focus Group on AI for Health, Topic Group Dental Diagnostics and Digital Dentistry, Geneva, Switzerland.
Krois J; Department of Oral Diagnostics, Digital Health and Health Services Research, Charité-Universitätsmedizin, Berlin, Germany.; ITU/WHO Focus Group on AI for Health, Topic Group Dental Diagnostics and Digital Dentistry, Geneva, Switzerland.
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Źródło :
Journal of dental research [J Dent Res] 2022 Oct; Vol. 101 (11), pp. 1269-1273. Date of Electronic Publication: 2022 Jul 31.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Dentistry*
Czasopismo naukowe
Tytuł :
The ethics of using biased artificial intelligence programs in the clinic.
Autorzy :
Sood A; Department of Dermatology, Emory University School of Medicine, Atlanta, Georgia.
Sangari A; Renaissance School of Medicine, Stony Brook University, Stony Brook, New York.
Chen JY; Emory Center for Ethics, Atlanta, Georgia.
Stoff BK; Department of Dermatology, Emory University School of Medicine, Atlanta, Georgia; Emory Center for Ethics, Atlanta, Georgia. Electronic address: .
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Źródło :
Journal of the American Academy of Dermatology [J Am Acad Dermatol] 2022 Oct; Vol. 87 (4), pp. 935-936. Date of Electronic Publication: 2021 Nov 24.
Typ publikacji :
Letter
MeSH Terms :
Artificial Intelligence*
Delivery of Health Care*
Ambulatory Care Facilities ; Humans
Opinia redakcyjna
Tytuł :
The use of artificial intelligence and virtual reality in doctor-patient risk communication: A scoping review.
Autorzy :
Antel R; Faculty of Medicine and Health Sciences, McGill University, Montreal, Canada. Electronic address: .
Abbasgholizadeh-Rahimi S; Department of Family Medicine, McGill University, Montreal, Canada; Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Canada; Electrical and Computer Engineering Department, McGill University, Montreal, Canada. Electronic address: .
Guadagno E; Harvey E. Beardmore Division of Pediatric Surgery, Montreal Children's Hospital, McGill University Health Center and McGill University, Montreal, Canada. Electronic address: .
Harley JM; Department of Experimental Surgery, McGill University, Montreal, Canada; Research Institute of the McGill University Health Centre (RI-MUHC), Montreal, Canada; Institute for Health Sciences Education, McGill University, Montreal, Canada. Electronic address: .
Poenaru D; Harvey E. Beardmore Division of Pediatric Surgery, Montreal Children's Hospital, McGill University Health Center and McGill University, Montreal, Canada. Electronic address: .
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Źródło :
Patient education and counseling [Patient Educ Couns] 2022 Oct; Vol. 105 (10), pp. 3038-3050. Date of Electronic Publication: 2022 Jun 12.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Virtual Reality*
Communication ; Decision Making, Shared ; Humans ; Physician-Patient Relations
Czasopismo naukowe
Tytuł :
Accuracy of artificial intelligence for the detection of intracranial hemorrhage and chronic cerebral microbleeds: a systematic review and pooled analysis.
Autorzy :
Matsoukas S; Department of Neurosurgery, Mount Sinai Health System, Annenberg Building, Room 20-86, 1468 Madison Ave, New York, NY, 10029, USA. .
Scaggiante J; Department of Neurosurgery, Mount Sinai Health System, Annenberg Building, Room 20-86, 1468 Madison Ave, New York, NY, 10029, USA.
Schuldt BR; Department of Neurosurgery, Mount Sinai Health System, Annenberg Building, Room 20-86, 1468 Madison Ave, New York, NY, 10029, USA.
Smith CJ; Department of Neurosurgery, Mount Sinai Health System, Annenberg Building, Room 20-86, 1468 Madison Ave, New York, NY, 10029, USA.
Chennareddy S; Department of Neurosurgery, Mount Sinai Health System, Annenberg Building, Room 20-86, 1468 Madison Ave, New York, NY, 10029, USA.
Kalagara R; Department of Neurosurgery, Mount Sinai Health System, Annenberg Building, Room 20-86, 1468 Madison Ave, New York, NY, 10029, USA.
Majidi S; Department of Neurosurgery, Mount Sinai Health System, Annenberg Building, Room 20-86, 1468 Madison Ave, New York, NY, 10029, USA.
Bederson JB; Department of Neurosurgery, Mount Sinai Health System, Annenberg Building, Room 20-86, 1468 Madison Ave, New York, NY, 10029, USA.
Fifi JT; Department of Neurosurgery, Mount Sinai Health System, Annenberg Building, Room 20-86, 1468 Madison Ave, New York, NY, 10029, USA.
Mocco J; Department of Neurosurgery, Mount Sinai Health System, Annenberg Building, Room 20-86, 1468 Madison Ave, New York, NY, 10029, USA.
Kellner CP; Department of Neurosurgery, Mount Sinai Health System, Annenberg Building, Room 20-86, 1468 Madison Ave, New York, NY, 10029, USA.
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Źródło :
La Radiologia medica [Radiol Med] 2022 Oct; Vol. 127 (10), pp. 1106-1123. Date of Electronic Publication: 2022 Aug 13.
Typ publikacji :
Journal Article; Review; Systematic Review
MeSH Terms :
Artificial Intelligence*
Cerebral Hemorrhage*/diagnostic imaging
Humans ; Intracranial Hemorrhages/diagnostic imaging ; Magnetic Resonance Imaging
Czasopismo naukowe
Tytuł :
Challenges and opportunities associated with rare-variant pharmacogenomics.
Autorzy :
Zhou Y; Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden.
Tremmel R; Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany; University of Tübingen, Tübingen, Germany.
Schaeffeler E; Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany; University of Tübingen, Tübingen, Germany; Cluster of Excellence iFIT (EXC2180) Image-Guided and Functionally Instructed Tumor Therapies, University of Tübingen, Tübingen, Germany.
Schwab M; Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany; Cluster of Excellence iFIT (EXC2180) Image-Guided and Functionally Instructed Tumor Therapies, University of Tübingen, Tübingen, Germany; Department of Clinical Pharmacology, and Department of Biochemistry and Pharmacy, University of Tübingen, Tübingen, Germany.
Lauschke VM; Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden; Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany; University of Tübingen, Tübingen, Germany. Electronic address: .
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Źródło :
Trends in pharmacological sciences [Trends Pharmacol Sci] 2022 Oct; Vol. 43 (10), pp. 852-865. Date of Electronic Publication: 2022 Aug 22.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Pharmacogenetics*/methods
High-Throughput Nucleotide Sequencing/methods ; Humans ; Machine Learning ; Precision Medicine/methods
Czasopismo naukowe
Tytuł :
Artificial intelligence and multidisciplinary team meetings; a communication challenge for radiologists' sense of agency and position as spider in a web?
Autorzy :
Galsgaard A; Department of Psychology, University of Copenhagen, Denmark; Department of Radiology, Copenhagen University Hospital at Bispebjerg and Frederiksberg, Denmark. Electronic address: .
Doorschodt T; Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, The Netherlands.
Holten AL; Department of Psychology, University of Copenhagen, Denmark.
Müller FC; Department of Radiology, Copenhagen University Hospital at Herlev and Gentofte, Denmark; Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital at Rigshospitalet, Denmark.
Ploug Boesen M; Department of Radiology, Copenhagen University Hospital at Bispebjerg and Frederiksberg, Denmark; Faculty of Health and Medicine Sciences, University of Copenhagen, Denmark.
Maas M; Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, The Netherlands.
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Źródło :
European journal of radiology [Eur J Radiol] 2022 Oct; Vol. 155, pp. 110231. Date of Electronic Publication: 2022 Mar 11.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Spiders*
Animals ; Communication ; Humans ; Patient Care Team ; Radiologists
Czasopismo naukowe
Tytuł :
An artificial intelligence model predicts the survival of solid tumour patients from imaging and clinical data.
Autorzy :
Schutte K; Owkin Lab, Owkin, Inc., 10003, New York, NY, USA. Electronic address: .
Brulport F; Owkin Lab, Owkin, Inc., 10003, New York, NY, USA.
Harguem-Zayani S; Department of Imaging, Gustave Roussy, Université Paris Saclay, 94805, Villejuif, France.
Schiratti JB; Owkin Lab, Owkin, Inc., 10003, New York, NY, USA.
Ghermi R; Owkin Lab, Owkin, Inc., 10003, New York, NY, USA.
Jehanno P; Owkin Lab, Owkin, Inc., 10003, New York, NY, USA.
Jaeger A; Owkin Lab, Owkin, Inc., 10003, New York, NY, USA; Calypse Consulting, 75002, Paris, France.
Alamri T; Department of Imaging, Gustave Roussy, Université Paris Saclay, 94805, Villejuif, France.
Naccache R; Department of Imaging, Gustave Roussy, Université Paris Saclay, 94805, Villejuif, France.
Haddag-Miliani L; Department of Imaging, Gustave Roussy, Université Paris Saclay, 94805, Villejuif, France.
Orsi T; Department of Imaging, Gustave Roussy, Université Paris Saclay, 94805, Villejuif, France.
Lamarque JP; Direction of Digital Transformation & Information Systems, Gustave Roussy, Université Paris-Saclay, 94805, Villejuif, France.
Hoferer I; Department of Imaging, Gustave Roussy, Université Paris Saclay, 94805, Villejuif, France; Biomaps, UMR1281 INSERM, CEA, CNRS, Université Paris-Saclay, 94805, Villejuif, France.
Lawrance L; Department of Imaging, Gustave Roussy, Université Paris Saclay, 94805, Villejuif, France; Biomaps, UMR1281 INSERM, CEA, CNRS, Université Paris-Saclay, 94805, Villejuif, France.
Benatsou B; Department of Imaging, Gustave Roussy, Université Paris Saclay, 94805, Villejuif, France; Biomaps, UMR1281 INSERM, CEA, CNRS, Université Paris-Saclay, 94805, Villejuif, France.
Bousaid I; Direction of Digital Transformation & Information Systems, Gustave Roussy, Université Paris-Saclay, 94805, Villejuif, France.
Azoulay M; Direction of Digital Transformation & Information Systems, Gustave Roussy, Université Paris-Saclay, 94805, Villejuif, France.
Verdon A; Direction of Digital Transformation & Information Systems, Gustave Roussy, Université Paris-Saclay, 94805, Villejuif, France.
Bidault F; Department of Imaging, Gustave Roussy, Université Paris Saclay, 94805, Villejuif, France; Biomaps, UMR1281 INSERM, CEA, CNRS, Université Paris-Saclay, 94805, Villejuif, France.
Balleyguier C; Department of Imaging, Gustave Roussy, Université Paris Saclay, 94805, Villejuif, France; Biomaps, UMR1281 INSERM, CEA, CNRS, Université Paris-Saclay, 94805, Villejuif, France.
Aubert V; Owkin Lab, Owkin, Inc., 10003, New York, NY, USA.
Bendjebbar E; Owkin Lab, Owkin, Inc., 10003, New York, NY, USA.
Maussion C; Owkin Lab, Owkin, Inc., 10003, New York, NY, USA.
Loiseau N; Owkin Lab, Owkin, Inc., 10003, New York, NY, USA.
Schmauch B; Owkin Lab, Owkin, Inc., 10003, New York, NY, USA.
Sefta M; Owkin Lab, Owkin, Inc., 10003, New York, NY, USA.
Wainrib G; Owkin Lab, Owkin, Inc., 10003, New York, NY, USA.
Clozel T; Owkin Lab, Owkin, Inc., 10003, New York, NY, USA.
Ammari S; Department of Imaging, Gustave Roussy, Université Paris Saclay, 94805, Villejuif, France; Biomaps, UMR1281 INSERM, CEA, CNRS, Université Paris-Saclay, 94805, Villejuif, France.
Lassau N; Department of Imaging, Gustave Roussy, Université Paris Saclay, 94805, Villejuif, France; Biomaps, UMR1281 INSERM, CEA, CNRS, Université Paris-Saclay, 94805, Villejuif, France.
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Źródło :
European journal of cancer (Oxford, England : 1990) [Eur J Cancer] 2022 Oct; Vol. 174, pp. 90-98. Date of Electronic Publication: 2022 Aug 16.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Neoplasms*/diagnostic imaging
Biomarkers ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Tomography, X-Ray Computed/methods
Czasopismo naukowe
Tytuł :
CT-Derived Body Composition Assessment as a Prognostic Tool in Oncologic Patients: From Opportunistic Research to Artificial Intelligence-Based Clinical Implementation.
Autorzy :
Bates DDB; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.
Pickhardt PJ; Department of Radiology, University of Wisconsin School of Medicine & Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252.
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Źródło :
AJR. American journal of roentgenology [AJR Am J Roentgenol] 2022 Oct; Vol. 219 (4), pp. 671-680. Date of Electronic Publication: 2022 Jun 01.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Tomography, X-Ray Computed*/methods
Body Composition ; Humans ; Prognosis ; Retrospective Studies
Czasopismo naukowe
Tytuł :
Artificial intelligence assessment for early detection and prediction of renal impairment using electrocardiography.
Autorzy :
Kwon JM; Medical Research Team, Medical AI, co., Seoul, South Korea. .; Artificial Intelligence and Big Data Research Center, Sejong Medical Research Institute, Bucheon, South Korea. .; Medical R&D Center, Body Friend, co, Seoul, South Korea. .; Department of Critical Care and Emergency Medicine, Incheon Sejong Hospital, 20, Gyeyangmunhwa-ro, Gyeyang-gu, Incheon, Republic of Korea. .
Kim KH; Artificial Intelligence and Big Data Research Center, Sejong Medical Research Institute, Bucheon, South Korea. .; Division of Cardiology, Department of Internal Medicine, Incheon Sejong Hospital, Cardiovascular Center20, Gyeyangmunhwa-ro, Gyeyang-gu, Incheon, Republic of Korea. .
Jo YY; Medical Research Team, Medical AI, co., Seoul, South Korea.
Jung MS; Medical Research Team, Medical AI, co., Seoul, South Korea.
Cho YH; Medical Research Team, Medical AI, co., Seoul, South Korea.
Shin JH; Medical Research Team, Medical AI, co., Seoul, South Korea.
Lee YJ; Medical Research Team, Medical AI, co., Seoul, South Korea.
Ban JH; Medical R&D Center, Body Friend, co, Seoul, South Korea.
Lee SY; Artificial Intelligence and Big Data Research Center, Sejong Medical Research Institute, Bucheon, South Korea.; Division of Cardiology, Department of Internal Medicine, Incheon Sejong Hospital, Cardiovascular Center20, Gyeyangmunhwa-ro, Gyeyang-gu, Incheon, Republic of Korea.
Park J; Division of Cardiology, Department of Internal Medicine, Incheon Sejong Hospital, Cardiovascular Center20, Gyeyangmunhwa-ro, Gyeyang-gu, Incheon, Republic of Korea.
Oh BH; Division of Cardiology, Department of Internal Medicine, Incheon Sejong Hospital, Cardiovascular Center20, Gyeyangmunhwa-ro, Gyeyang-gu, Incheon, Republic of Korea.
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Źródło :
International urology and nephrology [Int Urol Nephrol] 2022 Oct; Vol. 54 (10), pp. 2733-2744. Date of Electronic Publication: 2022 Apr 11.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Renal Insufficiency*/diagnosis
Early Diagnosis ; Electrocardiography ; Humans ; Retrospective Studies
Czasopismo naukowe
Tytuł :
The concept of the invisible radiologist in the era of artificial intelligence.
Autorzy :
Karantanas AH; Department of Radiology, Medical School, University of Crete, 71110 Heraklion, Greece; Department of Medical Imaging, University Hospital, 71110 Heraklion, Greece; Foundation for Research and Technology Hellas (FORTH), Computational Biomedicine Laboratory (CBML) - Hybrid Imaging, 70013 Heraklion, Greece. Electronic address: .
Efremidis S; Prof. Emeritus, Department of Radiology, University of Ioannina, 45110 Ioannina, Greece.
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Źródło :
European journal of radiology [Eur J Radiol] 2022 Oct; Vol. 155, pp. 110147. Date of Electronic Publication: 2022 Jan 04.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Teleradiology*
Humans ; Radiography ; Radiologists ; Radiology, Interventional
Czasopismo naukowe
Tytuł :
Towards Trustworthy AI in Dentistry.
Autorzy :
Ma J; Department of Artificial Intelligence, Fraunhofer Heinrich Hertz Institute, Berlin, Germany.
Schneider L; Department of Oral Diagnostics, Digital Health and Health Services Research, Charité-Universitätsmedizin, Berlin, Germany.; ITU/WHO Focus Group on AI for Health, Topic Group Dental Diagnostics and Digital Dentistry, Geneva, Switzerland.
Lapuschkin S; Department of Artificial Intelligence, Fraunhofer Heinrich Hertz Institute, Berlin, Germany.
Achtibat R; Department of Artificial Intelligence, Fraunhofer Heinrich Hertz Institute, Berlin, Germany.
Duchrau M; Department of Oral Diagnostics, Digital Health and Health Services Research, Charité-Universitätsmedizin, Berlin, Germany.
Krois J; Department of Oral Diagnostics, Digital Health and Health Services Research, Charité-Universitätsmedizin, Berlin, Germany.; ITU/WHO Focus Group on AI for Health, Topic Group Dental Diagnostics and Digital Dentistry, Geneva, Switzerland.
Schwendicke F; Department of Oral Diagnostics, Digital Health and Health Services Research, Charité-Universitätsmedizin, Berlin, Germany.; ITU/WHO Focus Group on AI for Health, Topic Group Dental Diagnostics and Digital Dentistry, Geneva, Switzerland.
Samek W; Department of Artificial Intelligence, Fraunhofer Heinrich Hertz Institute, Berlin, Germany.; BIFOLD-Berlin Institute for the Foundations of Learning and Data, Berlin, Germany.
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Źródło :
Journal of dental research [J Dent Res] 2022 Oct; Vol. 101 (11), pp. 1263-1268. Date of Electronic Publication: 2022 Jun 23.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Dental Caries*
Dentistry ; Humans ; Transillumination
Czasopismo naukowe
Tytuł :
Needs Assessment Survey Identifying Research Processes Which may be Improved by Automation or Artificial Intelligence: ICU Community Modeling and Artificial Intelligence to Improve Efficiency (ICU-Comma).
Autorzy :
Lau VI; 12357University of Alberta and Alberta Health Services, Edmonton, Alberta, Canada.
Binnie A; 60407William Osler Health System, Brampton, ON, Canada.
Basmaji J; 6221Western University, London, ON, Canada.
Baig N; 12357University of Alberta and Alberta Health Services, Edmonton, Alberta, Canada.
Opgenorth D; 12357University of Alberta and Alberta Health Services, Edmonton, Alberta, Canada.
Cameron S; 10033London Health Sciences Center, London, ON, Canada.
O'Hearn K; 274065Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada.
McDonald E; 3710McMaster University, Hamilton, ON, Canada.
Senaratne J; 12357University of Alberta and Alberta Health Services, Edmonton, Alberta, Canada.
Sligl W; 12357University of Alberta and Alberta Health Services, Edmonton, Alberta, Canada.; 3158University of Alberta, Edmonton, Alberta, Canada.
Zuege DJ; 70401University of Calgary, Calgary, Alberta, Canada.; Alberta Health Services, Alberta, Canada.
Rewa O; 12357University of Alberta and Alberta Health Services, Edmonton, Alberta, Canada.; 3158University of Alberta, Edmonton, Alberta, Canada.; Alberta Health Services, Alberta, Canada.
Bagshaw SM; 12357University of Alberta and Alberta Health Services, Edmonton, Alberta, Canada.; 3158University of Alberta, Edmonton, Alberta, Canada.; Alberta Health Services, Alberta, Canada.
Tsang J; 3710McMaster University, Hamilton, ON, Canada.; 37195Niagara Health, St. Catharines, Ontario, Canada.
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Źródło :
Journal of intensive care medicine [J Intensive Care Med] 2022 Oct; Vol. 37 (10), pp. 1296-1304. Date of Electronic Publication: 2021 Dec 13.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Intensive Care Units*
Automation ; Canada ; Cross-Sectional Studies ; Humans ; Needs Assessment
Czasopismo naukowe
Tytuł :
Artificial intelligence predicts lymph node metastasis or risk of lymph node metastasis in T1 colorectal cancer.
Autorzy :
Kasahara K; Department of Digestive and Pediatric Surgery, Tokyo Medical University, 6-7-1 Nishi Shinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan. .
Katsumata K; Department of Digestive and Pediatric Surgery, Tokyo Medical University, 6-7-1 Nishi Shinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan.
Saito A; Department of AI Applied Quantitative Clinical Science, Tokyo Medical University, 6-7-1 Nishi Shinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan.
Ishizaki T; Department of Digestive and Pediatric Surgery, Tokyo Medical University, 6-7-1 Nishi Shinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan.
Enomoto M; Department of Digestive and Pediatric Surgery, Tokyo Medical University, 6-7-1 Nishi Shinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan.
Mazaki J; Department of Digestive and Pediatric Surgery, Tokyo Medical University, 6-7-1 Nishi Shinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan.
Tago T; Department of Digestive and Pediatric Surgery, Tokyo Medical University, 6-7-1 Nishi Shinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan.
Nagakawa Y; Department of Digestive and Pediatric Surgery, Tokyo Medical University, 6-7-1 Nishi Shinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan.
Matsubayashi J; Department of Anatomic Pathology, Tokyo Medical University, 6-7-1 Nishi Shinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan.
Nagao T; Department of Anatomic Pathology, Tokyo Medical University, 6-7-1 Nishi Shinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan.
Hirano H; Diagnostic Pathology Division, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi, Hachioji-shi, 193-0998, Tokyo, Japan.
Kuroda M; Department of Molecular Pathology, Tokyo Medical University, 6-7-1 Nishi Shinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan.
Tsuchida A; Department of Digestive and Pediatric Surgery, Tokyo Medical University, 6-7-1 Nishi Shinjuku, Shinjuku-ku, Tokyo, 160-0023, Japan.
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Źródło :
International journal of clinical oncology [Int J Clin Oncol] 2022 Oct; Vol. 27 (10), pp. 1570-1579. Date of Electronic Publication: 2022 Jul 31.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Colorectal Neoplasms*/pathology
Biopsy ; Humans ; Lymph Nodes/pathology ; Lymphatic Metastasis/pathology
Czasopismo naukowe

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