ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?

C Chen, J Yu, S Chen, C Liu, Z Wan… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) hold great promise to revolutionize current clinical systems
for their superior capacities on medical text processing tasks and medical licensing exams …

[HTML][HTML] Application of Generative Artificial Intelligence Models for Accurate Prescription Label Identification and Information Retrieval for the Elderly in Northern East …

P Thetbanthad, B Sathanarugsawait… - Journal of …, 2025 - mdpi.com
This study introduces a novel AI-driven approach to support elderly patients in Thailand with
medication management, focusing on accurate drug label interpretation. Two model …

GPT Models Can Perform Thematic Analysis in Public Health Studies, Akin to Qualitative Researchers

Y Yang, C Alba, C Wang, X Wang… - Journal of Social …, 2024 - ieeexplore.ieee.org
Conducting thematic analysis in qualitative research can be laborious and time-consuming.
We propose and evaluate the feasibility of using Generative Pre-trained Transformer (GPT) …

[PDF][PDF] Evaluating zero-shot large language models recommenders on popularity bias and unfairness: a comparative approach to traditional algorithms

GM Ortega, RF Souza, MG Manzato - Anais Estendidos, 2024 - repositorio.usp.br
ABSTRACT Large Language Models (LLMs), such as ChatGPT, have transcended
technological boundaries and are now widely used across various domains to enhance …

[PDF][PDF] How Science Diplomacy Can Reshape Global Research Publishing

S GULLIVER, A DEMESHKO, JON HARLE… - cgdev.org
In today's digitally interconnected world, the swift exchange of knowledge and research
should be commonplace and should drive substantial advancements in health, wellbeing …