Nigam H. Shah

Oct 9, 2024 | jacc.org | Sneha Jain |Ashish Sarraju |Nigam H. Shah |Kevin A. Schulman

References1. "Estimated costs of pivotal trials for novel therapeutic agents approved by the US Food and Drug Administration, 2015-2016". JAMA Intern Med . 2018;178:11: 1451-1457. 2. "Participation of women in clinical trials supporting FDA approval of cardiovascular drugs". J Am Coll Cardiol . 2018;71:18: 1960-1969. 3. "Artificial intelligence in cardiovascular clinical trials". J Am Coll Cardiol . 2024;84:2051-2062. 4.

Sep 12, 2024 | jamanetwork.com | Nigam H. Shah |Michael Pfeffer |Marzyeh Ghassemi

Rakers et al8 conducted a much-needed systematic review of the availability of evidence for artificial intelligence prediction algorithms (AIPAs) in primary care. Their review found 43 such prediction algorithms, of which 25 were commercially available. For all reviewed AIPAs, the least evidence was available for the data preparation phase followed closely by the impact assessment phase.

Jul 26, 2024 | nature.com | Nigam H. Shah

Although large language models (LLMs) show promise in controlled settings, a study now exposes their limitations in real-world clinical applications and points the way towards robust evaluation and benchmarking before clinical use.

Feb 12, 2024 | jamanetwork.com | Nigam H. Shah |John Halamka

Health AI Assurance Laboratories—Reply A Nationwide Network of Health AI Assurance Laboratories Nigam H. Shah, MBBS, PhD; John D. Halamka, MD, MS; Suchi Saria, PhD; Michael Pencina, PhD; Troy Tazbaz, BS; Micky Tripathi, PhD, MPP; Alison Callahan, PhD; Hailey Hildahl, BS; Brian Anderson, MD Health AI Assurance Laboratories William W.

Dec 20, 2023 | jamanetwork.com | Nigam H. Shah |John Halamka

Abstract Importance  Given the importance of rigorous development and evaluation standards needed of artificial intelligence (AI) models used in health care, nationwide accepted procedures to provide assurance that the use of AI is fair, appropriate, valid, effective, and safe are urgently needed.