Peer Reviews
Call for papers - Intelligence-Based Critical Care Medicine and Anesthesiology
Submit papers here for a special issue of Intelligence-Based Medicine
< 1 minute read
Peer Reviews
Call for papers – Intelligence-Based Medicine (IBMED)
Submit papers here for a special issue on Intelligence-Based Cardiology
2 minute read
Peer Reviews
AI Systems for Complex Decision-Making in Acute Care Medicine: A Review
Lynn LA. Artificial Intelligence Systems for Complex Decision-Making in Acute Care Medicine: A
Review. Patient Safety in Surgery 2019; 13:6-14.
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Abstract
Health informatics is a vital technology that holds great promise in the healthcare setting. We describe tw
< 1 minute read
Oncology
Artificial Intelligence and its Potential in Oncology
Londhe VY and Bhasin B. Artificial Intelligence and its Potential in Oncology. Drug Discovery Today
2019; 24(1): 228-232.
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Abstract
The two main branches associated with Artificial Intelligence (AI) in medicine are virtual and physical. The virtual component in
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Peer Reviews
Machine Learning in Relation to Emergency Medicine Clinical and Operational Scenarios: An Overview
Lee S, Mohr NM, Street WN et al. Machine Learning in Relation to Emergency Medicine Clinical and Operational Scenarios: An Overview. West J Emerg Med 2019; 20(2): 219-227.
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Abstract
Health informatics is a vital technology that hold
< 1 minute read
Cardiology
Artificial Intelligence in Precision Cardiovascular Medicine
Krittanawong C et al. Artificial Intelligence in Precision Cardiovascular Medicine. Journal of
American College of Cardiology 2017; 69(21): 2657-2664.
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Abstract
Artificial intelligence (AI) is a field of computer science that aims to mimic human thought process
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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
< 1 minute read
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
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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 miti
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