This study evaluated the potential of multimodal AI chatbots, specifically ChatGPT-4o, in assessing thyroid-associated ophthalmopathy (TAO) through the Clinical Activity Score (CAS). Using publicly available case reports and datasets, ChatGPT-4o was ...
Journal of laparoendoscopic & advanced surgical techniques. Part A
Jun 1, 2025
This study assesses the reliability of artificial intelligence (AI) large language models (LLMs) in identifying relevant literature comparing inguinal hernia repair techniques. We used LLM chatbots (Bing Chat AI, ChatGPT versions 3.5 and 4.0, and G...
The British journal of oral & maxillofacial surgery
Jun 1, 2025
This systematic review evaluates the impact of the large language model (LLM) ChatGPT in oral and maxillofacial surgery. Following PRISMA guidelines and registered in PROSPERO (CRD42024625882), the study involved a comprehensive search across PubMed/...
Journal of the American Medical Informatics Association : JAMIA
Jun 1, 2025
OBJECTIVES: This study aims to develop and evaluate an approach using large language models (LLMs) and a knowledge graph to triage patient messages that need emergency care. The goal is to notify patients when their messages indicate an emergency, gu...
The performance and long-term health of athletes are significantly influenced by their cardiovascular resilience and associated risk factors. This study explores the innovative applications of Natural Language Processing (NLP) and Large Language Mode...
Breast cancer reconstruction, a vital part of comprehensive cancer therapy, can be performed concurrently with cancer resection, improving both physical and psychological recovery for patients. However, the intricacy and variety of recovery demand a ...
OBJECTIVE: Electronic health records (EHR) are widely available to complement administrative data-based disease surveillance and healthcare performance evaluation. Defining conditions from EHR is labour-intensive and requires extensive manual labelli...
Revista espanola de enfermedades digestivas
Jun 1, 2025
There are potential advantages of domain-specific solutions, built by fine-tuning pretrained LLMs with healthcare data, but this approach has certain drawbacks: privacy, biases and accuracy.
Journal of the American Medical Informatics Association : JAMIA
Jun 1, 2025
OBJECTIVES: Large language models (LLMs) have shown potential in biomedical applications, leading to efforts to fine-tune them on domain-specific data. However, the effectiveness of this approach remains unclear. This study aims to critically evaluat...
IEEE journal of biomedical and health informatics
Jun 1, 2025
With the rapid development of Large Language Model (LLM) technology, it has become an indispensable force in biomedical data analysis research. However, biomedical researchers currently have limited knowledge about LLM. Therefore, there is an urgent ...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.