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


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Tytuł :
Developing and Implementing Predictive Models in a Learning Healthcare System: Traditional and Artificial Intelligence Approaches in the Veterans Health Administration.
Autorzy :
Atkins D; Office of Research and Development, Department of Veterans Affairs, Washington, DC, USA; email: .
Makridis CA; National Artificial Intelligence Institute, Department of Veterans Affairs, Washington, DC, USA.
Alterovitz G; National Artificial Intelligence Institute, Department of Veterans Affairs, Washington, DC, USA.
Ramoni R; Office of Research and Development, Department of Veterans Affairs, Washington, DC, USA; email: .
Clancy C; Office of Discovery, Education and Affiliate Networks, Department of Veterans Affairs, Washington, DC, USA.
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Źródło :
Annual review of biomedical data science [Annu Rev Biomed Data Sci] 2022 Aug 10; Vol. 5, pp. 393-413. Date of Electronic Publication: 2022 May 24.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Learning Health System*
Delivery of Health Care ; Machine Learning ; United States ; Veterans Health
Czasopismo naukowe
Tytuł :
From data to noise to data for mixing physics across temperatures with generative artificial intelligence.
Autorzy :
Wang Y; Biophysics Program, University of Maryland, College Park, MD 20742.; Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742.
Herron L; Biophysics Program, University of Maryland, College Park, MD 20742.; Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742.
Tiwary P; Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742.; Department of Chemistry and Biochemistry, University of Maryland, College Park, MD 20742.
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Źródło :
Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2022 Aug 09; Vol. 119 (32), pp. e2203656119. Date of Electronic Publication: 2022 Aug 04.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Molecular Dynamics Simulation*
Peptides*/chemistry
RNA*/chemistry
Temperature*
Physics
Czasopismo naukowe
Tytuł :
Machines That Feel and Think: The Role of Affective Feelings and Mental Action in (Artificial) General Intelligence.
Autorzy :
Deane G; University of Edinburgh, School of Philosophy, Psychology, and Language Sciences. .
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Źródło :
Artificial life [Artif Life] 2022 Aug 04; Vol. 28 (3), pp. 289-309.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Emotions*
Animals ; Biological Factors ; Cognition ; Humans ; Intelligence
Czasopismo naukowe
Tytuł :
Braitenberg Vehicles as Developmental Neurosimulation.
Autorzy :
Dvoretskii S; Technical University of Munich.
Gong Z; Duke University.
Gupta A; Taipei Medical University.
Parent J; Orthogonal Research and Education Laboratory.
Alicea B; Orthogonal Research and Education Laboratory.; OpenWorm Foundation. .
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Źródło :
Artificial life [Artif Life] 2022 Aug 04; Vol. 28 (3), pp. 369-395.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Cognition*/physiology
Algorithms ; Learning ; Software
Czasopismo naukowe
Tytuł :
Application of the sliding window method and Mask-RCNN method to nuclear recognition in oral cytology.
Autorzy :
Mitate E; Department of Oral Radiology and Biomedical Informatics, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1, Sakamoto, Nagasaki-City, 852-8501, Japan. .; Kouguchi Dental Clinic, 1-11-11, Watanabe-Dori, Chou-ku, Fukuoka-City, 810-0004, Japan. .; Dentistry and Oral Surgery, Hirose Hospital, 1-21-11, Watanabe-Dori, Chou-ku, Fukuoka-City, 810-0004, Japan. .
Inoue K; Mechanical Engineering Program, Department of Advanced Engineering, Nagasaki University Graduate School of Engineering, 1-14, Bunkyo-machi, Nagasaki City, 852-8521, Japan.
Sato R; Mechanical Engineering Program, Department of Advanced Engineering, Nagasaki University Graduate School of Engineering, 1-14, Bunkyo-machi, Nagasaki City, 852-8521, Japan.
Shimomoto Y; Nagasaki University Graduate School of Engineering, 1-14, Bunkyo-machi, Nagasaki City, 852-8521, Japan.
Ohba S; Department of Regenerative Oral Surgery, Unit of Translational Medicine, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1, Sakamoto, Nagasaki City, 852-8501, Japan.
Ogata K; Department of Regenerative Oral Surgery, Unit of Translational Medicine, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1, Sakamoto, Nagasaki City, 852-8501, Japan.
Sakai T; Nagasaki University Graduate School of Engineering, 1-14, Bunkyo-machi, Nagasaki City, 852-8521, Japan.
Ohno J; Research Center for Regenerative Medicine, Fukuoka Dental College, 2-15-1, Tamura, Sawara-ku, Fukuoka City, 814-0193, Japan.
Yamamoto I; Nagasaki University Graduate School of Engineering, 1-14, Bunkyo-machi, Nagasaki City, 852-8521, Japan.
Asahina I; Department of Regenerative Oral Surgery, Unit of Translational Medicine, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1, Sakamoto, Nagasaki City, 852-8501, Japan.
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Źródło :
Diagnostic pathology [Diagn Pathol] 2022 Aug 02; Vol. 17 (1), pp. 62. Date of Electronic Publication: 2022 Aug 02.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Neural Networks, Computer*
Cell Nucleus ; Cytoplasm ; Female ; Humans ; Vaginal Smears
Czasopismo naukowe
Tytuł :
Healthcare artificial intelligence: the road to hell is paved with good intentions.
Autorzy :
Iqbal U; Global Health and Health Security Department, College of Public Health, Taipei Medical University, Taipei, Taiwan.; HealthICT, Department of Health, Tasmania, Australia.
Celi LA; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.; Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Hsu YE; BioTech EMBA Program, International PhD Program in Biotech and Healthcare Management, School of Healthcare Administration, College of Management, Taipei Medical University, Taipei, Taiwan.; School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Li YJ; Graduate Institute of Biomedical Informatics, College of Medical Science & Technology, Taipei Medical University, Taipei, Taiwan .; Dermatology Department, Wan-Fang Hospital, Taipei, Taiwan.; International Association of Medical Informatics (IMIA), Geneva, Switzerland.
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Źródło :
BMJ health & care informatics [BMJ Health Care Inform] 2022 Aug; Vol. 29 (1).
Typ publikacji :
Editorial
MeSH Terms :
Artificial Intelligence*
Intention*
Delivery of Health Care ; Health Facilities ; Humans
Opinia redakcyjna
Tytuł :
Artificial intelligence and computer vision in orthopaedic trauma : the why, what, and how.
Autorzy :
Prijs J; Department of Orthopaedic Surgery, Groningen University Medical Centre, Groningen, the Netherlands.; Department of Surgery, Groningen University Medical Centre, Groningen, the Netherlands.; Department of Orthopaedic & Trauma Surgery, Flinders University, Flinders Medical Centre, Adelaide, Australia.
Liao Z; Australian Institute for Machine Learning, Adelaide, Australia.
Ashkani-Esfahani S; Department of Orthopaedic Surgery, Massachusetts General Hospital, Boston, USA.
Olczak J; Institute of Clinical Sciences, Danderyd University Hospital, Karolinska Institute, Stockholm, Sweden.
Gordon M; Institute of Clinical Sciences, Danderyd University Hospital, Karolinska Institute, Stockholm, Sweden.
Jayakumar P; The University of Texas at Austin, Dell Medical School, Austin, Texas, USA.
Jutte PC; Department of Orthopaedic Surgery, Groningen University Medical Centre, Groningen, the Netherlands.
Jaarsma RL; Department of Orthopaedic & Trauma Surgery, Flinders University, Flinders Medical Centre, Adelaide, Australia.
IJpma FFA; Department of Orthopaedic Surgery, Groningen University Medical Centre, Groningen, the Netherlands.
Doornberg JN; Department of Orthopaedic Surgery, Groningen University Medical Centre, Groningen, the Netherlands.; Department of Orthopaedic & Trauma Surgery, Flinders University, Flinders Medical Centre, Adelaide, Australia.
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Corporate Authors :
Machine Learning Consortium
Źródło :
The bone & joint journal [Bone Joint J] 2022 Aug; Vol. 104-B (8), pp. 911-914.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Orthopedics*
Computers ; Humans ; Machine Learning ; Neural Networks, Computer
Czasopismo naukowe
Tytuł :
Artificial intelligence for image analysis in total hip and total knee arthroplasty : a scoping review.
Autorzy :
Gurung B; South West London Elective Orthopaedic Centre, Epsom, UK.
Liu P; South West London Elective Orthopaedic Centre, Epsom, UK.
Harris PDR; South West London Elective Orthopaedic Centre, Epsom, UK.
Sagi A; South West London Elective Orthopaedic Centre, Epsom, UK.; Barzilai Medical Centre, Ashkelon, Israel.
Field RE; South West London Elective Orthopaedic Centre, Epsom, UK.; St George's, University of London, London, UK.
Sochart DH; South West London Elective Orthopaedic Centre, Epsom, UK.
Tucker K; South West London Elective Orthopaedic Centre, Epsom, UK.; Orthopaedics Data Evaluation Panel, London, UK.
Asopa V; South West London Elective Orthopaedic Centre, Epsom, UK.
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Źródło :
The bone & joint journal [Bone Joint J] 2022 Aug; Vol. 104-B (8), pp. 929-937.
Typ publikacji :
Journal Article; Systematic Review
MeSH Terms :
Arthroplasty, Replacement, Hip*
Arthroplasty, Replacement, Knee*
Artificial Intelligence*
Humans ; Postoperative Care/methods ; Radiography
Czasopismo naukowe
Tytuł :
Artificial intelligence (AI) versus expert: A comparison of left ventricular outflow tract velocity time integral (LVOT-VTI) assessment between ICU doctors and an AI tool.
Autorzy :
Zhai S; Department of Surgery Intensive Care Unit, China-Japan Friendship Hospital, Beijing, China.
Wang H; Department of Surgery Intensive Care Unit, China-Japan Friendship Hospital, Beijing, China.
Sun L; Department of Emergency Medicine, China-Japan Friendship Hospital, Beijing, China.
Zhang B; Department of Ultrasound Medicine, China-Japan Friendship Hospital, Beijing, China.
Huo F; Department of Emergency Medicine, National Center for Children's Health, Beijing Children's Hospital, Capital Medical University, Beijing, China.
Qiu S; Department of Intensive Care Unit, The Sixth Clinical Medical, College of Henan University of Traditional Chinese Medicine, Zhumadian, Henan Province, 463000, China.
Wu X; Department of Surgery Intensive Care Unit, China-Japan Friendship Hospital, Beijing, China.
Ma J; Department of Surgery Intensive Care Unit, China-Japan Friendship Hospital, Beijing, China.
Wu Y; Department of Surgery Intensive Care Unit, China-Japan Friendship Hospital, Beijing, China.
Duan J; Department of Surgery Intensive Care Unit, China-Japan Friendship Hospital, Beijing, China.
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Źródło :
Journal of applied clinical medical physics [J Appl Clin Med Phys] 2022 Aug; Vol. 23 (8), pp. e13724. Date of Electronic Publication: 2022 Jul 11.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Ventricular Function, Left*
Humans ; Intensive Care Units ; Lactic Acid ; Stroke Volume
Czasopismo naukowe
Tytuł :
A meta-learning algorithm for respiratory flow prediction from FBG-based wearables in unrestrained conditions.
Autorzy :
Filosa M; The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy; Department of Excellence in Robotics & A.I., Scuola Superiore Sant'Anna, Pisa, Italy. Electronic address: .
Massari L; The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy; Department of Excellence in Robotics & A.I., Scuola Superiore Sant'Anna, Pisa, Italy.
Ferraro D; The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy; Department of Excellence in Robotics & A.I., Scuola Superiore Sant'Anna, Pisa, Italy.
D'Alesio G; The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy; Department of Excellence in Robotics & A.I., Scuola Superiore Sant'Anna, Pisa, Italy.
D'Abbraccio J; The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy; Department of Excellence in Robotics & A.I., Scuola Superiore Sant'Anna, Pisa, Italy.
Aliperta A; The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy; Department of Excellence in Robotics & A.I., Scuola Superiore Sant'Anna, Pisa, Italy; ARTES4.0 Competence Center on Advanced Robotics and enabling digital TEchnologies and Systems, Pontedera, Italy.
Presti DL; Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.
Di Tocco J; Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.
Zaltieri M; Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.
Massaroni C; Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.
Carrozza MC; The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy; Department of Excellence in Robotics & A.I., Scuola Superiore Sant'Anna, Pisa, Italy; IRCCS Fondazione don Carlo Gnocchi, Milan, Italy.
Ferrarin M; IRCCS Fondazione don Carlo Gnocchi, Milan, Italy.
Di Rienzo M; IRCCS Fondazione don Carlo Gnocchi, Milan, Italy.
Schena E; Department of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.
Oddo CM; The BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy; Department of Excellence in Robotics & A.I., Scuola Superiore Sant'Anna, Pisa, Italy. Electronic address: .
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Źródło :
Artificial intelligence in medicine [Artif Intell Med] 2022 Aug; Vol. 130, pp. 102328. Date of Electronic Publication: 2022 May 29.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Artificial Intelligence*
Wearable Electronic Devices*
Algorithms ; Humans ; Machine Learning ; Respiration
Czasopismo naukowe
Tytuł :
A generative adversarial inpainting network to enhance prediction of periodontal clinical attachment level.
Autorzy :
Kearney VP; Retrace Labs, Incorporated, 1 Market Street, Spear Tower, 35th Floor, San Francisco, CA 94105, USA.
Yansane AM; Department of Preventive and Restorative Dental Sciences, University of California, San Francisco, School of Dentistry, Box 0758, 707 Parnassus Avenue, San Francisco, CA 94143, USA.
Brandon RG; Department of Preventive and Restorative Dental Sciences, University of California, San Francisco, School of Dentistry, Box 0758, 707 Parnassus Avenue, San Francisco, CA 94143, USA.
Vaderhobli R; Department of Preventive and Restorative Dental Sciences, University of California, San Francisco, School of Dentistry, Box 0758, 707 Parnassus Avenue, San Francisco, CA 94143, USA.
Lin GH; Department of Orofacial Sciences, University of California, San Francisco, School of Dentistry, 707 Parnassus Avenue, San Francisco, CA 94143, USA.
Hekmatian H; Retrace Labs, Incorporated, 1 Market Street, Spear Tower, 35th Floor, San Francisco, CA 94105, USA.
Deng W; Retrace Labs, Incorporated, 1 Market Street, Spear Tower, 35th Floor, San Francisco, CA 94105, USA.
Joshi N; Department of Preventive and Restorative Dental Sciences, University of California, San Francisco, School of Dentistry, Box 0758, 707 Parnassus Avenue, San Francisco, CA 94143, USA.
Bhandari H; Department of Preventive and Restorative Dental Sciences, University of California, San Francisco, School of Dentistry, Box 0758, 707 Parnassus Avenue, San Francisco, CA 94143, USA.
Sadat AS; Retrace Labs, Incorporated, 1 Market Street, Spear Tower, 35th Floor, San Francisco, CA 94105, USA.
White JM; Department of Preventive and Restorative Dental Sciences, University of California, San Francisco, School of Dentistry, Box 0758, 707 Parnassus Avenue, San Francisco, CA 94143, USA. Electronic address: .
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Źródło :
Journal of dentistry [J Dent] 2022 Aug; Vol. 123, pp. 104211. Date of Electronic Publication: 2022 Jun 26.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Periodontal Diseases*
Algorithms ; Humans ; Image Processing, Computer-Assisted/methods ; Neural Networks, Computer ; Retrospective Studies
Czasopismo naukowe
Tytuł :
Current challenges of implementing artificial intelligence in medical imaging.
Autorzy :
Saw SN; Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, Universiti Malaya, 50603 Kuala Lumpur, Malaysia. Electronic address: .
Ng KH; Department of Biomedical Imaging, Universiti Malaya, 50603 Kuala Lumpur, Malaysia; Department of Medical Imaging and Radiological Sciences, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan.
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Źródło :
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) [Phys Med] 2022 Aug; Vol. 100, pp. 12-17. Date of Electronic Publication: 2022 Jun 14.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Radiology*
Algorithms ; Diagnostic Imaging ; Humans ; Radiography
Czasopismo naukowe
Tytuł :
Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study.
Autorzy :
Horvat N; Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 29, New York, NY, 10065, USA.; Department of Radiology, University of Sao Paulo, Sao Paulo, SP, Brazil.
Veeraraghavan H; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Nahas CSR; Department of Surgery, University of Sao Paulo, Sao Paulo, SP, Brazil.
Bates DDB; Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 29, New York, NY, 10065, USA.
Ferreira FR; Department of Radiology, University of Sao Paulo, Sao Paulo, SP, Brazil.
Zheng J; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Capanu M; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Fuqua JL 3rd; Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 29, New York, NY, 10065, USA.
Fernandes MC; Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 29, New York, NY, 10065, USA.
Sosa RE; Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 29, New York, NY, 10065, USA.
Jayaprakasam VS; Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 29, New York, NY, 10065, USA.
Cerri GG; Department of Radiology, University of Sao Paulo, Sao Paulo, SP, Brazil.
Nahas SC; Department of Surgery, University of Sao Paulo, Sao Paulo, SP, Brazil.
Petkovska I; Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 29, New York, NY, 10065, USA. .
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Źródło :
Abdominal radiology (New York) [Abdom Radiol (NY)] 2022 Aug; Vol. 47 (8), pp. 2770-2782. Date of Electronic Publication: 2022 Jun 16.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Rectal Neoplasms*/diagnostic imaging
Rectal Neoplasms*/pathology
Rectal Neoplasms*/therapy
Brazil ; Chemoradiotherapy ; Female ; Humans ; Magnetic Resonance Imaging ; Magnetic Resonance Spectroscopy ; Male ; Middle Aged ; Radiologists ; Retrospective Studies ; Treatment Outcome
Czasopismo naukowe
Tytuł :
A review of artificial intelligence in mammography.
Autorzy :
Jairam MP; Vagelos College of Physicians & Surgeons, 630 West 168th Street, New York, NY 10032, United States.
Ha R; Associate Professor of Radiology, Director of Research and Education, Breast Imaging Section, Columbia University Medical Center, 622 West 168th Street, PB-1-301, New York, NY 10032, United States of America. Electronic address: .
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Źródło :
Clinical imaging [Clin Imaging] 2022 Aug; Vol. 88, pp. 36-44. Date of Electronic Publication: 2022 May 15.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Breast Neoplasms*/diagnostic imaging
Female ; Humans ; Mammography
Czasopismo naukowe
Tytuł :
Social impact and governance of AI and neurotechnologies.
Autorzy :
Doya K; Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University, 1919-1 Tancha, Onna Village, Okinawa, 904-0495, Japan. Electronic address: .
Ema A; Institute for Future Initiatives, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan. Electronic address: .
Kitano H; Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University, 1919-1 Tancha, Onna Village, Okinawa, 904-0495, Japan; Sony Computer Science Laboratories, Inc. 3-14-13, Higashigotanda, Shinagawa-ku, Tokyo, 141-0022, Japan. Electronic address: .
Sakagami M; Brain Science Research Center, Tamagawa University, 6-1-1 Tamagawa Gakuen, Machida City, Tokyo, 194-8610, Japan. Electronic address: .
Russell S; Computer Science Division, University of California Berkeley, CA 94720-1776, USA. Electronic address: .
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Źródło :
Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2022 Aug; Vol. 152, pp. 542-554. Date of Electronic Publication: 2022 May 21.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Social Media*
Humans ; Social Change
Czasopismo naukowe
Tytuł :
Automation of dry eye disease quantitative assessment: A review.
Autorzy :
Brahim I; Inserm, UMR 1101, Brest, France.; Inserm, UMR 1227, Brest, France.; Université Bretagne Occidentale, Brest, France.
Lamard M; Inserm, UMR 1101, Brest, France.; Université Bretagne Occidentale, Brest, France.
Benyoussef AA; Service d'Ophtalmologie, CHRU Brest, Brest, France.
Quellec G; Inserm, UMR 1101, Brest, France.
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Źródło :
Clinical & experimental ophthalmology [Clin Exp Ophthalmol] 2022 Aug; Vol. 50 (6), pp. 653-666. Date of Electronic Publication: 2022 Jun 27.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Dry Eye Syndromes*/diagnosis
Automation ; Humans
Czasopismo naukowe
Tytuł :
Data considerations for predictive modeling applied to the discovery of bioactive natural products.
Autorzy :
Xue HT; School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore.
Stanley-Baker M; School of Humanities, Nanyang Technological University, Singapore 639818, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore.
Kong AWK; School of Computer Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore.
Li HL; School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore.
Goh WWB; School of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore; Center for Biomedical Informatics, Nanyang Technological University, Singapore 308232, Singapore. Electronic address: .
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Źródło :
Drug discovery today [Drug Discov Today] 2022 Aug; Vol. 27 (8), pp. 2235-2243. Date of Electronic Publication: 2022 May 14.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Artificial Intelligence*
Biological Products*/pharmacology
Drug Development ; Drug Discovery/methods
Czasopismo naukowe

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