Journal of Medical Internet Research

Development and Validation of a Large Language Model–Powered Chatbot for Neurosurgery: Mixed Methods Study on Enhancing Perioperative Patient Education

Objective: We aimed to develop, validate, and assess NeuroBot, an AI-driven system that uses large language models (LLMs) with retrieval-augmented generation to deliver timely, accurate, and ...
BMJ Open

Abuse of people with mental illnesses perpetrated by healthcare professionals: a scoping review

Objectives This scoping review addresses the underexplored issue of abuse of people with mental illnesses by healthcare ...
BMJ Global Health

Impact of an integrated parenting and nutrition intervention on growth and development in stunted children at 24 months: evidence from the Stepping Stones …

Objectives This paper examines the differential impact of responsive parenting and nutrition interventions on early child ...
IEEE

LLM-DSK: A Domain-Specific Semantic Knowledge-Guided Ocean Environment Prediction Method Based on Large Language Models

Abstract: Data-driven methods learn patterns of oceanic variable changes directly from data without relying on explicit modeling of complex physical processes based on specific assumptions. This ...
IEEE

A Real-Time Intelligent System Based on Machine-Learning Methods for Improving Communication in Sign Language

Abstract: In this article, we introduce a cost-effective and real-time intelligent system tailored to Pakistan sign language (PSL) recognition, aimed at facilitating communication for hearing-impaired ...
Journal of Medical Internet Research

Evaluating the Effectiveness of Large Language Models in Providing Patient Education for Chinese Patients With Ocular Myasthenia Gravis: Mixed Methods Study

Large language models (LLMs) have emerged as potential tools to bridge this gap by providing instant, AI-driven health information. However, their accuracy and readability in educating patients with ...