Akhil Vaid
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments
2023 · 316 Zit. · Scientific Reports
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room
2024 · 78 Zit. · Journal of the American Medical Informatics Association
Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings
2023 · 41 Zit. · Annals of Internal Medicine
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study
2025 · 32 Zit. · The Lancet Digital Health
A strategy for cost-effective large language model use at health system-scale
2024 · 31 Zit. · npj Digital Medicine
Local large language models for privacy-preserving accelerated review of historic echocardiogram reports
2024 · 25 Zit. · Journal of the American Medical Informatics Association
Machine Learning in Cardiology—Ensuring Clinical Impact Lives Up to the Hype
2020 · 23 Zit. · Journal of Cardiovascular Pharmacology and Therapeutics
Development of a privacy preserving large language model for automated data extraction from thyroid cancer pathology reports
2023 · 16 Zit. · medRxiv
Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study
2025 · 8 Zit. · JMIR Formative Research
Natural Language Programming in Medicine: Administering Evidence Based Clinical Workflows with Autonomous Agents Powered by Generative Large Language Models
2024 · 7 Zit. · arXiv (Cornell University)
Artificial intelligence-guided detection of under-recognized cardiomyopathies on point-of-care cardiac ultrasound: a multi-center study
2024 · 6 Zit. · medRxiv
Medical AI can transform medicine — but only if we carefully track the data it touches
2025 · 2 Zit. · Nature
Real-world usage diminishes validity of Artificial Intelligence tools
2022 · 1 Zit. · medRxiv
Abstract Sun507: Artificial Intelligence Driven Subphenotyping of In-Hospital Cardiac Arrest Patients Identifies Subgroups with Different Outcomes and Risk Factors: A Nation-Wide Analysis
2025 · 0 Zit. · Circulation
AI Agents for Conversational Patient Triage: Preliminary Simulation-Based Evaluation with Real-World EHR Data
2025 · 0 Zit. · ArXiv.org