Jacobs Institute

Predicting Inpatient Length of Stay After Brain Tumor Surgery: Developing Machine Learning Ensembles to Improve Predictive Performance

Whitney E. Muhlestein, Dallin S. Akagi, Jason M. Davies et al.

2018 · 82 Zit.

Artificial Intelligence, Heuristic Biases, and the Optimization of Health Outcomes: Cautionary Optimism

Michael Feehan, Leah A. Owen, Ian M. McKinnon et al.

2021 · 22 Zit.

Evaluation of Current and Former Teleradiology Systems in Africa: A Review

Brandon Ewing, David Holmes

2022 · 21 Zit.

Pathology in the Age of Artificial Intelligence (AI): Redefining Roles and Responsibilities for Tomorrow's Practitioners

Fnu Sandeep, N. K. Kiran, Zubair Rahaman et al.

2024 · 6 Zit.

Session Introduction: Artificial Intelligence in Clinical Medicine: Generative and Interactive Systems at the Human-Machine Interface

Sajjad Fouladvand, Emma Pierson, Ivana Jankovic et al.

2023 · 3 Zit.

How do authors’ perceptions of their papers compare with co-authors’ perceptions and peer-review decisions?

Charvi Rastogi, Ivan Stelmakh, Alina Beygelzimer et al.

2024 · 3 Zit.

Feasibility of AI-powered assessment scoring: Can large language models replace human raters?

Michael Jaworski, Jacob Balconi, Celeste Santivasci et al.

2025 · 2 Zit.

Representation and Bias in Artificial Intelligence Models for Thyroid Cancer: A Systematic Review

Rashi Ramchandani, Eddie Guo, Sanaz G. Biglou et al.

2025 · 1 Zit.

A Community of Medical Educators Coming together to lend an “Anatomical” Hand: Showing the Value of an In‐Person Anatomy Lab based Curriculum

Samuel Márquez, Joanne Katz, Anthony Pagano et al.

2022 · 0 Zit.