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Distinguishing admissions specifically for COVID-19 from incidental SARS-CoV-2 admissions: national retrospective electronic health record study

Klann, Jeffrey G, Zachary H Strasser, Meghan R Hutch, Chris J Kennedy, Jayson S Marwaha, Michele Morris, Malarkodi Jebathilagam Samayamuthu, et al. 2022. “Distinguishing Admissions Specifically for COVID-19 from Incidental SARS-CoV-2 Admissions: National Retrospective Electronic Health Record Study”. Journal of Medical Internet Research 24 (5): e37931.

Chris Kennedy

Chris is a postdoctoral fellow in bioinformatics, with interests in targeted learning-based causal inference, deep & machine learning, and item response theory. His lab projects include opioid overprescribing, surgical computer vision, and COVID-19 severity measurement. He holds a PhD in...

Shuo-Lun (Daniel) Lai

Lai received a bachelor's degree of medicine from National Yang-Ming University and a Ph.D. of biomedical electronics and bioinformatics from National Taiwan University. He is a colorectal surgeon at National Taiwan University Hospital and a research fellow at Harvard Medical School and Beth Israel...

AIxSuture: vision-based assessment of open suturing skills

We are joined by the paper’s authors, Dr. Hanna Hoffmann and Dr. Isabel Funke. We discuss their development of a novel video dataset and deep learning framework for evaluating open surgical skills, and how this work advances objective skill assessment in surgical training. 📅 Date: November 04, 2025...