Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 50,051 to 50,060 of 224,814 articles

Prospective quantitative analysis of hyperparameter and input optimization in GPT-5: comparative contribution to radiologist performance in abdominal radiology.

Diagnostic and interventional radiology (Ankara, Turkey)
PURPOSE: This study aims to evaluate the effect of input format and hyperparameter settings on GPT-5 and explore the contribution of GPT-5 assistance to radiologists' performance in abdominal cases. METHODS: In this prospective study, 86 abdominal ca... read more 

Diethyl Phthalate (DEP) as a potential osteosarcoma risk factor: a multi-omics study integrating network Toxicology, single-cell RNA sequencing, and molecular docking.

Journal of enzyme inhibition and medicinal chemistry
Diethyl phthalate (DEP), a common plasticiser and endocrine disruptor, has been linked to cancer, but its role in osteosarcoma (OS) remains unclear. This study integrated network toxicology, transcriptomics, protein-protein interaction (PPI) analysis... read more 

3D deep-learning radiomics from MR-T2WI for predicting placenta accreta spectrum disorders: A multicenter study.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
OBJECTIVE: To develop a three-dimensional (3D) deep-learning radiomics from magnetic resonance-T2-weighted imaging (T2WI) for predicting the risk of placenta accreta spectrum (PAS) disorders. METHODS: This study conducted a retrospective multicenter ... read more 

Aflatoxin detection in pistachio nuts: conventional methods, emerging technologies, and critical insights.

Critical reviews in food science and nutrition
Aflatoxin contamination in pistachios, caused by Aspergillus flavus and Aspergillus parasiticus, poses significant risks to food safety and global trade due to its carcinogenic properties. This review examines traditional detection methods such as Hi... read more 

Critical Challenges and Future Directions of Electrosynthesized Molecularly Imprinted Polymers for Bacterial Sensing.

Critical reviews in analytical chemistry
Molecularly imprinted polymers (MIPs) have gained attention as synthetic receptors for electrochemical sensing due to their mechanical and operational robustness, low cost, and tunable selectivity. Although extensively explored for small-molecule det... read more 

GutMIND: A multi-cohort machine learning framework for integrative characteristics of the microbiota-gut-brain axis in neuropsychiatric disorders.

Gut microbes
Emerging evidence underscores bidirectional communication along the microbiota-gut-brain axis in neuropsychiatric disorders. However, the field lacks dedicated metagenomic resources with standardized phenotyping for these conditions. Existing single-... read more 

Artificial intelligence-generated patient information on shoulder instability remains suboptimal: DeepSeek outperforms ChatGPT in completeness of content while ChatGPT is more readable.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
PURPOSE: This study aimed to evaluate and compare the performance of the Chat Generative Pre-Trained Transformer (ChatGPT) and DeepSeek artificial intelligence (AI) models for patient information on shoulder instability. METHODS: Sixteen frequently a... read more 

Artificial Intelligence for Academic Text Generation in Analytical Chemistry: Current Risks, Indicators, and Perspectives toward Greener and More Sustainable Approaches.

Analytical chemistry
The fast adoption of large language models has introduced new possibilities and challenges in scientific writing. While artificial intelligence (AI) tools have long supported researchers through grammar checking, reference management, and data proces... read more 

Multicenter Clinical Validation of an Artificial Intelligence Diagnostic Classification Model for Laryngoscopy Images.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
OBJECTIVE: To develop and externally validate a computer-aided diagnosis (CADx) model using artificial intelligence (AI) for classifying laryngeal lesions from laryngoscopy images into high-risk (HR), low-risk (LR). STUDY DESIGN: Retrospective multic... read more 

Ferroptosis-Related Signature Genes and Immune Landscape in Acute Exacerbation of Chronic Obstructive Pulmonary Disease.

COPD
UNLABELLED: Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is characterized by heightened inflammation and immune dysregulation, yet its underlying molecular mechanisms remain incompletely understood. This study aimed to identif... read more