This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (592) Viewpoints on and Experiences with Digital Technologies in Health (91) Crowdsourcing and Mechanical Turks (102) Artificial Intelligence (1929) Machine Learning (1898) Clinical Information and Decision Making (1765) Advanced Data Analytics in eHealth (186) Precision Medicine (130)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51138, first published .
A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health

A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health

A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health

Authors of this article:

Peter Washington1 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Hadweh P, Niset A, Salvagno M, Al Barajraji M, El Hadwe S, Taccone F, Barrit S. Machine Learning and Artificial Intelligence in Intensive Care Medicine: Critical Recalibrations from Rule-Based Systems to Frontier Models. Journal of Clinical Medicine 2025;14(12):4026 View
  2. Lin K, Rasool A, Surabhi S, Mutlu C, Zhang H, Paul D, Washington P. Aiding LLMs with Clinical Scoresheets: No Improvement in Neurobehavioral Diagnostic Classification from Text Using Basic Prompting (Preprint). JMIR AI 2025 View