Klein JG. Five Pitfalls in Decisions About Diagnosis and Prescribing. British Medical Journal 2005; 330:781-783. Click here to view the paper Introduction Psychologists have studied the cognitive processes involved in decision making extensively and have identified many factors that lead people ast
Kim YJ, Kelley BP, Nasser JS et al. Implementing Precision Medicine and Artificial Intelligence in Plastic Surgery: Concepts and Future Prospects. Plast Reconstr Surg Glob Open 2019; 7:e2113. Click here to view the paper Abstract Precision medicine, or the individualization of evidence-based medicin
Kapoor R, Walters SP, and Al-Aswad LA. The Current State of Artificial Intelligence in Ophthalmology. Survey of Ophthalmology 2019; 64: 233-240. Click here to view the paper Abstract Artificial intelligence (AI) is a branch of computer science that deals with the development of algorithms that seek
Johnson KW et al. Artificial Intelligence in Cardiology. Journal of the American College of Cardiology 2018; 71(23): 2668-2679. Click here to view the paper Abstract Artificial intelligence and machine learning are poised to influence nearly every aspect of the human condition, and cardiology is not
Johnson AE, Pollard TJ, Shen L et al. MIMIC-III, A Freely Accessible Critical Care Database. Sci Data 2016; 3:160036. Click here to view the paper Abstract MIMIC-III ('Medical Information Mart for Intensive Care') is a large, single-center database comprising information relating to patients admitt
Jiang F, Jiang Y, Zhi H et al. Artificial Intelligence in Health care: Past, Present, and Future. Stroke and Vascular Neurology 2017; 2:e000101. Click here to view the paper Abstract Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare,
Jha S and Topol EJ. Adapting to Artificial Intelligence: Radiologists and Pathologists as Information Specialists. JAMA 2016; 316(22): 2353-2354. Click here to view the paper Abstract Artificial intelligence—the mimicking of human cognition by computers—was once a fable in science fiction but is bec
Iniesta R, Stahl D, and McGuffin P. Machine Learning, Statistical Learning, and the Future of Biological Research in Psychiatry. Psychological Medicine 2016; 46:2455-2465. Click here to view the paper Abstract Psychiatric research has entered the age of ‘Big Data’. Datasets now routinely involve tho
Hueso M, Vellido A, Montero N et al. Artificial Intelligence for the Artificial Kidney: Pointers to the Future of a Personalized Hemodialysis Therapy. Kidney Dis 2018: 4(1): 1-9. Click here to view the paper Summary and Key Messages: Artificial intelligence research on dialysis is still in an early s