Book Reviews
Deadliest Enemy - by Michael Osterholm and Mark Olshaker
Arguably, the best book on emerging diseases
Book Reviews
AI in Health - by Tom Lawry
“Reads like a knowledgeable friend talking to you about enigmatic topics in AI healthcare over a cup of coffee”
Peer Reviews
Improved protein structure prediction using potentials from deep learning
Andrew W. Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Žídek, Alexander W. R. Nelson, Alex Bridgland, Hugo Penedones, Stig Petersen, Karen Simonyan, Steve Crossan, Pushmeet Kohli, David T. Jones, David Silver, Koray Kavukcuoglu & Demis Ha
Oncology
Deep learning for prediction of colorectal cancer outcome: a discovery and validation study
Ole-Johan Skrede, MSc , Sepp De Raedt, PhD Andreas Kleppe, PhD, Tarjei S Hveem, PhD Prof Knut Liestøl, PhD, John Maddison, PhD Hanne A Askautrud, PhD, Manohar Pradhan, PhD John Arne Nesheim, MSc, Prof Fritz Albregtsen, MSc Prof Inger Nina Farstad, PhD, Enric Domingo, PhD David N Church, DPhil, Prof
Peer Reviews
Transforming global health with AI
Mehul C. Mehta, M.D., Ingrid T. Katz, M.D., M.P.H., and Ashish K. Jha, M.D., M.P.H. Summary The COVID-19 pandemic has been a major disruption in healthcare and economy around the world, so this is a very timely perspective on how artificial intelligence can play a role in mitigating the damages of s
Peer Reviews
AI versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies
Myura Nagendran, Yang Chen, Christopher A Lovejoy, Anthony C Gordon, Matthieu Komorowski, Hugh Harvey, Eric J Topol, John P A Ioannidis, Gary S Collins, Mahiben Maruthappu Summary This is a good systematic review of medical imaging studies that utilize diagnostic deep learning algorithms with a focu
Essential Listening
A conversation with Paul Bloom, Professor of Psychology, Yale University
Sam Harris, Paul Bloom