Artificial Intelligence Medical Compendium

Objective: This study aims to evaluate and compare the accuracy and performance of two large language models (LLMs), ChatGPT-4.0 and DeepSeek-R1, in answering pediatric ophthalmology-related questions. Methods: A total of 44 multiple-choice questions... read more 

This paper aims to identify key factors influencing elder abuse within the family and to further explore the heterogeneity of these factors across different types of elder abuse. The data were drawn from the China Longitudinal Aging Social Survey and... read more 

OBJECTIVE: To evaluate the potential of an artificial intelligence (AI)-driven large language model, ChatGPT 4.0, to provide personalized, evidence-based treatment recommendations for uterine fibroids. METHODS: ChatGPT 4.0 was trained using evidence-... read more 

Endometriosis is a chronic condition defined by endometrium-like tissue outside the uterus, with symptoms including pain, infertility, and fatigue. Despite the high prevalence of disease, diagnosis is frequently delayed, in part due to reliance on in... read more 

PURPOSE: Using unsupervised and supervised machine learning methods, we aimed to identify clinically relevant groups of employees with similar characteristics and analyze the association of long and short sickness absence periods with these groups. M... read more 

With climate change, habitat destruction, and increased population ages, the incidence of both communicable and non-communicable diseases is rising, and managing these has become a growing concern. In recent years, generative artificial intelligence ... read more 

AIMS: A computer-aided diagnosis (CAD) system for automated evaluation of developmental dysplasia of the hip (DDH) via ultrasound, integrating Deep Learning (DL) for anatomical segmentation and performing α&β angle calculations utilizing the Graf Met... read more 

Covering: up to 2025.Non-ribosomal peptide synthetases and polyketide synthases are modular biosynthetic systems that produce structurally diverse and pharmacologically potent natural products, including antibiotics, immunosuppressants, and anticance... read more 

This project aimed at (1) detailing the complex side effect patterns of 902 inpatients treated for major depression or schizophrenia under polypharmacy regimens; (2) developing a quantitative side effect model that accounts for the various facets of ... read more 

OBJECTIVES: To evaluate the effectiveness of Artificial Intelligence (AI) in improving clinical outcomes in Extracorporeal Membrane Oxygenation (ECMO) management, focusing on ECMO initiation, prognosis, and complications. METHODS: A meta-analysis fol... read more