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Viewpoint (18) Machine Learning (1001) Decision Support for Health Professionals (734)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33970, first published .
Open-Source Clinical Machine Learning Models: Critical Appraisal of Feasibility, Advantages, and Challenges

Open-Source Clinical Machine Learning Models: Critical Appraisal of Feasibility, Advantages, and Challenges

Open-Source Clinical Machine Learning Models: Critical Appraisal of Feasibility, Advantages, and Challenges

Authors of this article:

Keerthi B Harish 1 Author Orcid Image ;   W Nicholson Price 2, 3 Author Orcid Image ;   Yindalon Aphinyanaphongs 1 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. Sarkis R, Burri O, Royer-Chardon C, Schyrr F, Blum S, Costanza M, Cherix S, Piazzon N, Barcena C, Bisig B, Nardi V, Sarro R, Ambrosini G, Weigert M, Spertini O, Blum S, Deplancke B, Seitz A, de Leval L, Naveiras O. MarrowQuant 2.0: A Digital Pathology Workflow Assisting Bone Marrow Evaluation in Experimental and Clinical Hematology. Modern Pathology 2023;36(4):100088 View
  2. Taribagil P, Hogg H, Balaskas K, Keane P. Integrating artificial intelligence into an ophthalmologist’s workflow: obstacles and opportunities. Expert Review of Ophthalmology 2023;18(1):45 View
  3. Jiang D, Chen Z, Ma F, Gong Y, Pu T, Chen J, Liu X, Zhao Y, Xie K, Hou H, Wang C, Geng X, Liu F. Online calculator for predicting the risk of malignancy in patients with pancreatic cystic neoplasms: A multicenter, retrospective study. World Journal of Gastroenterology 2022;28(37):5469 View