Dartmouth Psychiatric Research Center

Applications of artificial intelligence in orthopaedic surgery

Faraz Farhadi, Matthew R. Barnes, Harun R. Sugito et al.

2022 · 89 Zit.

Defining Glioblastoma Resectability Through the Wisdom of the Crowd: A Proof-of-Principle Study

Adam M. Sonabend, Brad E. Zacharia, Michael Cloney et al.

2016 · 43 Zit.

AI-RADS: Successes and challenges of a novel artificial intelligence curriculum for radiologists across different delivery formats

Alexander Lindqwister, Saeed Hassanpour, Joshua M. Levy et al.

2023 · 12 Zit.

Integration of a deep learning basal cell carcinoma detection and tumor mapping algorithm into the Mohs micrographic surgery workflow and effects on clinical staffing: a simulated, retrospective study

Rachael Chacko, Matthew J. Davis, Joshua Levy et al.

2023 · 1 Zit.

AI-Driven Advances in Precision Oncology: Toward Optimizing Cancer Diagnostics and Personalized Treatment

Luka Bulić, Petar Brlek, Nenad Hrvatin et al.

2026 · 0 Zit.

Abstract 4366171: One Model Does Not Fit All: Demographic Disparities in Machine Learning-Based Prediction of 30-Day Readmission Following Acute Myocardial Infarction

Jaini Shah, Michael E. Matheny, Ruth Reeves et al.

2025 · 0 Zit.

For machine learning to advance precision pain medicine, we must exercise caution

Madelyn Frumkin

2026 · 0 Zit.