Accessibility settings

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

Generative Language Models Including ChatGPT (1640) Clinical Information and Decision Making (3894) Natural Language Processing (1338) Machine Learning (3343) Artificial Intelligence (5027) AI Language Models in Health Care (836) Responsible Health AI (267)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85206, first published .
Scientist studies DNA, embryo, and in-vitro fertilization process

Reliability of Large Language Model Generated Clinical Reasoning in Assisted Reproductive Technology: Blinded Comparative Evaluation Study

Reliability of Large Language Model Generated Clinical Reasoning in Assisted Reproductive Technology: Blinded Comparative Evaluation Study

Authors of this article:

Dou Liu1, 2, 3 Author Orcid Image ;   Ying Long1, 3, 4 Author Orcid Image ;   Sophia Zuoqiu5 Author Orcid Image ;   Di Liu5, 6, 7 Author Orcid Image ;   Kang Li6, 7 Author Orcid Image ;   Yiting Lin8 Author Orcid Image ;   Hanyi Liu8 Author Orcid Image ;   Rong Yin5, 6, 7 Author Orcid Image ;   Tian Tang1, 3, 4 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Hoxha K, Savjani R, Neylon J, Pham J, Ariani R, O'Connell D. Automated identification of radiotherapy treatment sites from unstructured physician notes. Journal of Applied Clinical Medical Physics 2026;27(4) View
  2. Canpolat A, Aksu Ö, Emral R, Canpolat U. Diagnostic Performance and Workup Efficiency of Large Language Models in Secondary Hypertension: A Blinded Comparative Study. Diagnostics 2026;16(14):2165 View
  3. Liu Y, Liu Y, Zhao Y, Luo Y, Hao X. From static snapshots to longitudinal trajectories: artificial intelligence in women’s reproductive and ovarian health. Frontiers in Endocrinology 2026;17 View
  4. Hu G, Liu J, Chen J. Research Advances in Non-Invasive Preimplantation Evaluation of Embryonic Chromosomal Aneuploidy. Industry Science and Engineering 2026;3(6):45 View
  5. Liu D, Long Y, Zuoqiu S, Liu D, Li K, Xie K, Yang R, Lin Y, Liu H, Yin R, Tang T. The Alignment Paradox of Medical Large Language Models in Infertility Care: Decoupling Algorithmic Improvement From Clinical Decision-Making Quality. Journal of Medical Internet Research 2026;28:e97221 View