Karandeep Singh

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

2024 · 1.688 Zit. · BMJ

The Clinician and Dataset Shift in Artificial Intelligence

2021 · 583 Zit. · New England Journal of Medicine

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

2022 · 454 Zit. · Nature Medicine

Testing and Evaluation of Health Care Applications of Large Language Models

2024 · 369 Zit. · JAMA

PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods

2025 · 247 Zit. · BMJ

Artificial intelligence-enabled decision support in nephrology

2022 · 89 Zit. · Nature Reviews Nephrology

The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence

2025 · 74 Zit. · Nature Medicine

AI, Health, and Health Care Today and Tomorrow

2025 · 68 Zit. · JAMA

A Call for Artificial Intelligence Implementation Science Centers to Evaluate Clinical Effectiveness

2024 · 48 Zit. · NEJM AI

A Systematic Review of Testing and Evaluation of Healthcare Applications of Large Language Models (LLMs)

2024 · 41 Zit. · medRxiv

Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings

2023 · 41 Zit. · Annals of Internal Medicine

How Academic Medical Centers Govern AI Prediction Tools in the Context of Uncertainty and Evolving Regulation

2024 · 29 Zit. · NEJM AI

Enabling collaborative governance of medical AI

2023 · 23 Zit. · Nature Machine Intelligence

Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance

2025 · 20 Zit. · The Lancet Digital Health

Assessing the net benefit of machine learning models in the presence of resource constraints

2023 · 16 Zit. · Journal of the American Medical Informatics Association