Work

Enhancing the accuracy of GPT models in kidney stone diagnosis A comparison and optimization of GPT 3.5 and GPT 4.0

Year: 2025

Type: article

Abstract: As artificial intelligence advances, Large Language Models (LLMs) have shown tremendous potential in medical diagnosis and treatment, yet existing research has not extensively explored their application in kidney stones.

Source: Journal of Artificial Intelligence & Robotics

DOI: 10.52768/3067-7947/1023

Author: Haoyang Zeng

Institution: Shantou 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

Funder: Basic and Applied Basic Research Foundation of Guangdong Province

Award: G8714589464

OpenAlex ID: W4415116841

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