Work

The Reliability of LLMs for Medical Diagnosis:An Examination of Consistency, Manipulation and Contextual Awareness

Year: 2025

Type: article

Abstract: Universal healthcare access remains a critical unmet need, especially in resource-limited settings. Large Language Models (LLMs) hold immense promise for democratizing healthcare globally, offering sophisticated diagnostic tools even in remote areas. However, responsible clinical deployment, especially in resource-scarce and trust-dependent environments, demands comprehensive reliability evaluation. This must go beyond accuracy to encompass diagnostic consistency, manipulation resilienceandintelligent contextual integration, ensuring the safe and ethical application of LLMs for universal healthcare.

Source: Journal of Advanced Artificial Intelligence Engineering and Technology

DOI: 10.56147/aaiet.1.1.3

Author: Krishna Subedi

Institution: Tribhuvan University

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4410245711

FWCI: 1.046

Cites: 5

Cited by: 5

Related to: 10