Tristan Naumann

The role of machine learning in clinical research: transforming the future of evidence generation

2021 · 273 Zit. · Trials

Practical guidance on artificial intelligence for health-care data

2019 · 143 Zit. · The Lancet Digital Health

Toward a responsible future: recommendations for AI-enabled clinical decision support

2024 · 123 Zit. · Journal of the American Medical Informatics Association

A “datathon” model to support cross-disciplinary collaboration

2016 · 80 Zit. · Science Translational Medicine

Trends and Focus of Machine Learning Applications for Health Research

2019 · 69 Zit. · JAMA Network Open

Making Big Data Useful for Health Care: A Summary of the Inaugural MIT Critical Data Conference

2014 · 29 Zit. · DSpace@MIT (Massachusetts Institute of Technology)

A clinically accessible small multimodal radiology model and evaluation metric for chest X-ray findings

2025 · 24 Zit. · Nature Communications

Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact

2024 · 21 Zit. · PLOS Digital Health

Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processing

2021 · 17 Zit. · arXiv (Cornell University)

Biomedical Natural Language Processing in the Era of Large Language Models

2025 · 14 Zit. · Annual Review of Biomedical Data Science

Prompt Discriminative Language Models for Domain Adaptation

2023 · 7 Zit.

Towards responsible artificial intelligence in healthcare—getting real about real-world data and evidence

2025 · 4 Zit. · Journal of the American Medical Informatics Association

Exploring the Future of AI in Clinical Collaboration: A Study on Tumor Board Case Preparation

2026 · 1 Zit.

Exploring Scaling Laws for EHR Foundation Models

2025 · 0 Zit. · ArXiv.org

X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains

2025 · 0 Zit. · ArXiv.org