AI in Medical Diagnosis: Benefits, Challenges, and Reliability - Cardinal Experience Presentation

Authors

• Jordan Kern, St. John Fisher University

Document Type

Poster Presentation

Publication Date

4-17-2026

Keywords

fsc2026

Abstract

This project examines the role of artificial intelligence in medical diagnosis, focusing on its use in areas like medical imaging and disease detection. It explores both the benefits of AI, such as improved efficiency and accuracy, and the challenges, including reliability issues and ethical concerns. The presentation highlights how differences between patients can limit AI’s effectiveness and raises concerns about trust and human interaction in healthcare. It ultimately argues that AI should support, not replace, human judgment in medical decision-making.

Comments

Poster presented at the 2026 Fisher Showcase, St. John Fisher University, April 17, 2026.

Publication Information

Kern, Jordan, "AI in Medical Diagnosis: Benefits, Challenges, and Reliability - Cardinal Experience Presentation" (2026). Fisher Showcase 2026. Paper 193.
https://fisherpub.sjf.edu/fsc2026/193

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