Farley T, Kiefer J, Lee P et al. The BioIntelligence Framework: A New Computational Platform for Biomedical Knowledge Computing. J Am Med Inform Assoc 2013; 20(1): 128-133. Click here to view the paper Abstract Breakthroughs in molecular profiling technologies are enabling a new data-intensive appr
Esteva A, Robicquet A, Ramsundar B et al. A Guide to Deep Learning in Health care. Nature Medicine 2009; 25:24-29. Click here to view the paper Abstract Here we present deep-learning techniques for healthcare, centering our discussion on deep learning in computer vision, natural language processing
Ekins S. The Next Era: Deep Learning in Pharmaceutical Research. Pharm Res 2016; 33(11): 2594-2603. Click here to view the paper Abstract Over the past decade we have witnessed the increasing sophistication of machine learning algorithms applied in daily use from internet searches, voice recognitio
Dimitrov D. Medical Internet of Things and Big Data in Health care. Healthc Inform Res 2016; 22(3): 156-163. Click here to view the paper Objectives A number of technologies can reduce overall costs for the prevention or management of chronic illnesses. These include devices that constantly monitor
Dey D, Slomka PJ, Leeson P et al. Artificial Intelligence in Cardiovascular Imaging: JACC State-ofthe-Art Review. J Am Coll Cardiol 2019; 73(11): 1317-1335. Click here to view the paper Abstract Data science is likely to lead to major changes in cardiovascular imaging. Problems with timing, efficien
Desai GS. Artificial Intelligence: The Future of Obstetrics and Gynecology. J of Obstetrics and Gynecology of India 2018; 68(4): 326-327. Click here to view the paper Background Artificial intelligence or ‘big data’ comprises of algorithms which aid in decision making. It has made an impact on a num
Deo RC. Machine Learning in Medicine. Circulation 2015; 132:1920-1930. Click here to view the paper Abstract Spurred by advances in processing power, memory, storage, and an unprecedented wealth of data, computers are being asked to tackle increasingly complex learning tasks, often with astonishing
Darcy AM, Louie AK, and Roberts LW. Machine Learning and the Profession of Medicine. JAMA 2016; 315(6): 551-552. Click here to view the paper Must a physician be human? A new computer, “Ellie,” developed at the Institute for Creative Technologies, asks questions as a clinician might, such as “How e
Connor CW. Artificial Intelligence and Machine Learning in Anesthesiology. Anesthesiology 2019, 12 Vol.131, 1346-1359. Click here to view the paper Abstract Commercial applications of artificial intelligence and machine learning have made remarkable progress recently, particularly in areas such as