Anshul Thakur

External validation of AI models in health should be replaced with recurring local validation

2023 · 146 Zit. · Nature Medicine

A scalable federated learning solution for secondary care using low-cost microcomputing: privacy-preserving development and evaluation of a COVID-19 screening test in UK hospitals

2024 · 36 Zit. · The Lancet Digital Health

A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis

2025 · 25 Zit. · npj Digital Medicine

Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark

2024 · 14 Zit. · medRxiv

Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark

2024 · 9 Zit.

Scalable federated learning for emergency care using low cost microcomputing: Real-world, privacy preserving development and evaluation of a COVID-19 screening test in UK hospitals

2023 · 6 Zit. · medRxiv

RiskAgent: Autonomous Medical AI Copilot for Generalist Risk Prediction

2025 · 2 Zit. · medRxiv

RapiD_AI: A framework for Rapidly Deployable AI for novel disease & pandemic preparedness

2022 · 1 Zit. · medRxiv

RiskAgent: Synergizing Language Models with Validated Tools for Evidence-Based Risk Prediction

2025 · 1 Zit. · ArXiv.org

BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence

2026 · 0 Zit. · ArXiv.org

Mitigating algorithmic unfairness arising from forgetfulness of medical records in clinical artificial intelligence

2026 · 0 Zit. · Nature Communications

Medical records condensation: a roadmap towards healthcare data democratisation

2023 · 0 Zit. · arXiv (Cornell University)

Medical records condensation: a roadmap towards healthcare data democratisation

2024 · 0 Zit. · Research Square

Navigating Severe Class Imbalance in Population Cohort Data

2025 · 0 Zit.

RapiD_AI: A framework for Rapidly Deployable AI for novel disease & pandemic preparedness

2022 · 0 Zit. · Research Square