Call for papers - Intelligence-Based Critical Care Medicine and Anesthesiology
Submit papers here for a special issue of Intelligence-Based Medicine
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Call for papers – Intelligence-Based Medicine (IBMED)
Submit papers here for a special issue on Intelligence-Based Cardiology
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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. Click here to view the paper Abstract Health informatics is a vital technology that holds great promise in the healthcare setting. We describe two prominen
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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. Click here to view the paper Abstract The two main branches associated with Artificial Intelligence (AI) in medicine are virtual and physical. The virtual component includes mac
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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. Click here to view the paper Abstract Health informatics is a vital technology that holds great promise in
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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. Click here to view the paper Abstract Artificial intelligence (AI) is a field of computer science that aims to mimic human thought processes, learni
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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
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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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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
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