Mitchell Pavlak

According to our database, Mitchell Pavlak authored at least 4 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework.

Nathan Drenkow, Mitchell Pavlak, Keith Harrigian, Ayah Zirikly, Adarsh Subbaswamy, Mathias Unberath

CoRR, March, 2025

The explainable AI dilemma under knowledge imbalance in specialist AI for glaucoma referrals in primary care.

Catalina Gomez, Ruolin Wang, Katharina Breininger, Corinne Casey, Chris Bradley, Mitchell Pavlak, Alex Pham, Jithin Yohannan, Mathias Unberath

npj Digit. Medicine, 2025

2024

Explainable AI Enhances Glaucoma Referrals, Yet the Human-AI Team Still Falls Short of the AI Alone.

Catalina Gomez, Ruolin Wang, Katharina Breininger, Corinne Casey, Chris Bradley, Mitchell Pavlak, Alex Pham, Jithin Yohannan, Mathias Unberath

CoRR, 2024

2023

Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models.

Mitchell Pavlak, Nathan Drenkow, Nicholas Petrick, Mohammad Mehdi Farhangi, Mathias Unberath

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023