Hosny A, Parmar C, Quackenbush J et al. Artificial Intelligence in Radiology. Nat Rev Cancer 2018; 18(8): 500-510. Click here to view the paper Abstract Artificial intelligence (AI) algorithms, particularly deep learning, have demonstrated remarkable progress in image-recognition tasks. Methods rang
Hinton G. Deep Learning- A Technology with the Potential to Transform Health Care. JAMA 2018; 320(11): 1101-1102. Click here to view the paper Widespread application of artificial intelligence in health care has been anticipated for half a century. For most of that time, the dominant approach to ar
He J, Baxter SL, Xu J et al. The Practical Implementation of Artificial Intelligence Technologies in Medicine. Nature Medicine 2019; 25:30-36. Click here to view the paper Abstract The development of artificial intelligence (AI)-based technologies in medicine is advancing rapidly, but real-world cli
Hassabis D, Kumaran D, Summerfield C et al. Neuroscience-Inspired Artificial Intelligence. Neuron Review 2017; 95(2):245-258. Click here to view the paper The fields of neuroscience and artificial intelligence (AI) have a long and intertwined history. In more recent times, however, communication and
Hashimoto DA, Rosman G, Rus D et al. Artificial Intelligence in Surgery: Promises and Perils. Annals of Surgery 2018; 268(1): 70-76. Click here to view the paper Objective The aim of this review was to summarize major topics in artificial intelligence (AI), including their applications and limitatio
Hanson WC and Marshall BE. Artificial Intelligence Applications in the Intensive Care Unit. Crit Care Med 2001; 29(2): 427-435. Click here to view the paper OBJECTIVE: To review the history and current applications of artificial intelligence in the intensive care unit. DATA SOURCES: The MEDLINE data
Gulshan V, Peng L, Coram M et al. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. JAMA 2016; 316:2402-2410. Click here to view the paper Importance Deep learning is a family of computational methods that allow an algorithm
Gubbi S, Hamet P, Tremblay J et al. Artificial Intelligence and Machine Learning in Endocrinology and Metabolism: The Dawn of a New Era. Frontiers in Endocrinology 2019; DOI 10.3389/fendo. 2019.00185. Click here to view the paper The rapid growth of technology in the past couple of decades has paved
Griebel L, Prokosch HU, Kopcke F et al. A Scoping Review of Cloud Computing in Health care. BMC Med Inform Decis Mak 2015; 15:17. Click here to view the paper Background Cloud computing is a recent and fast growing area of development in healthcare. Ubiquitous, on-demand access to virtually endless