Results 31 to 40 of about 19,462,557 (261)

Causability and explainability of artificial intelligence in medicine

WIREs Data Mining Knowl. Discov., 2019
Explainable artificial intelligence (AI) is attracting much interest in medicine. Technically, the problem of explainability is as old as AI itself and classic AI represented comprehensible retraceable approaches.
Andreas Holzinger, G. Langs, H. Denk, K. Zatloukal, Heimo Müller   +4 more
semanticscholar   +1 more source

Sustaining the Integration of Social Objectives Over Time: A Case-Based Analysis of Access to Medicine in the Pharmaceutical Industry [PDF]

, 2023
Tobias Bünder, Nikolas Rathert, Johanna Mair   +2 more
openalex   +1 more source

Surgical and Endovascular Management of Aortic Thrombosis in COVID-19 and Vaccine-Induced Immune Thrombotic Thrombocytopenia

Vascular Health and Risk Management
Rojan Abdollahzadeh Mirali,1 Seyedh Saba Ramazannia Toloti,2 Yasamin Bigdeli,3 Asal Ebrahimi,4 Yasamin Roointanpour,2 Meghdad Ghasemi Gorji1,2,5 1Department of Vascular Surgery, Shiraz University of Medical Sciences, Shiraz, Iran; 2Student Research ...
Abdollahzadeh Mirali R, Ramazannia Toloti SS, Bigdeli Y, Ebrahimi A, Roointanpour Y, Ghasemi Gorji M   +5 more
doaj  

Assessment of Food Cravings, Food Intake, and Weight Status Among Saudi Adults in Central and Western Regions of Saudi Arabia: A Retrospective, Cross-Sectional Study

Nutrition and Dietary Supplements
Mohammed Zaid Aljulifi,1 Atheer Ayed M Alshutayli,2 Ahmed Mohammed A Kaseb,3 Faisal Mohammed Asiri,4 Renad Ibrahim Alzahrani,5 Nawaf Amer H Alharbi,5 Ghadeer Yahya Almasabi,5 Mudhawi Faisal Alsuliman,6 Mohammad Shakil Ahmad,1 Riyaz Ahmed Shaik1 ...
Aljulifi MZ, Alshutayli AAM, Kaseb AMA, Asiri FM, Alzahrani RI, Alharbi NAH, Almasabi GY, Alsuliman MF, Ahmad MS, Shaik RA   +9 more
doaj  

The case for better governance to mitigate against childhood obesity: the UK experience

BMC Medicine, 2023
BMC Medicine
doaj   +1 more source

Opportunities and obstacles for deep learning in biology and medicine

bioRxiv, 2017
Deep learning, which describes a class of machine learning algorithms, has recently showed impressive results across a variety of domains. Biology and medicine are data rich, but the data are complex and often ill-understood.
T. Ching, Daniel S. Himmelstein, Brett K. Beaulieu-Jones, Alexandr A Kalinin, Brian T Do, G. Way, E. Ferrero, P. Agapow, M. Zietz, M. M. Hoffman, W. Xie, G. Rosen, Benjamin J. Lengerich, Johnny Israeli, Jack Lanchantin, Stephen Woloszynek, Anne E Carpenter, Avanti Shrikumar, Jinbo Xu, Evan M. Cofer, Christopher A. Lavender, Srinivas C. Turaga, Amr M. Alexandari, Zhiyong Lu, David J Harris, David DeCaprio, Yanjun Qi, Anshul B Kundaje, Yifan Peng, L. K. Wiley, Marwin H. S. Segler, S. Boca, S. Joshua Swamidass, Austin Huang, A. Gitter, C. Greene   +35 more
semanticscholar   +1 more source

Safeguarding mothers and newborns: the urgent need to address hepatitis during pregnancy

BMC Medicine, 2023
BMC Medicine
doaj   +1 more source

Exercise as medicine – evidence for prescribing exercise as therapy in 26 different chronic diseases

Scandinavian Journal of Medicine & Science in Sports, 2015
This review provides the reader with the up‐to‐date evidence‐based basis for prescribing exercise as medicine in the treatment of 26 different diseases: psychiatric diseases (depression, anxiety, stress, schizophrenia); neurological diseases (dementia ...
B. Pedersen, B. Saltin
semanticscholar   +1 more source

Diabetes education for better personalized management in pediatric patients

BMC Medicine, 2023
BMC Medicine
doaj   +1 more source

Shining a light on endometriosis: time to listen and take action

BMC Medicine, 2023
BMC Medicine
doaj   +1 more source