Artificial Intelligence Medical Compendium

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

Showing 67,961 to 67,970 of 233,231 articles

Next-generation multicenter studies: using artificial intelligence to automatically process unstructured health records of patients with lung cancer across multiple institutions.

Annals of oncology : official journal of the European Society for Medical Oncology
BACKGROUND: Manual abstraction of real-world data (RWD) from unstructured health records (HRs) remains resource intensive, error prone, and highly variable across institutions. Large language models (LLMs) offer a scalable alternative, but their perf... read more 

Associations between out of home food sector outlet menu healthiness scores, menu characteristics and energy consumed by customers in England during 2021-2022.

Appetite
Greater consumption of food prepared out of the home (OOH) is associated with higher energy intake. Strategies are needed to make eating OOH food less harmful to health. Identifying menu characteristics associated with higher energy consumption could... read more 

Modulating tumor mechanics and vascular barriers to enhance chemotherapy efficacy in pancreatic tumors and melanoma.

Journal of controlled release : official journal of the Controlled Release Society
Pancreatic ductal adenocarcinoma (PDAC) is characterized by a dense stroma and dysfunctional vasculature, limiting drug delivery and immune infiltration, while melanoma, though less fibrotic, remains highly metastatic and treatment-resistant. To over... read more 

A subject-based association network defines new pediatric sleep apnea phenotypes with different odds of recovery after treatment.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: Timely treatment of pediatric obstructive sleep apnea (OSA) can prevent or reverse neurocognitive and cardiovascular morbidities. However, whether distinct phenotypes exist and account for divergent treatment effectiveness ... read more 

Machine learning-guided repurposing of FDA-approved quinolones as dual cholinesterase inhibitors: A multi-level docking, molecular dynamics, DFT, and SHAP-based analysis.

Journal of molecular graphics & modelling
Alzheimer's disease (AD) involves progressive cholinergic degeneration, with acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) playing key enzymatic roles in its pathology. In this study, we computationally repurposed four FDA-approved qui... read more 

Pericoronary adipose tissue attenuation on CCTA as a marker of cardiovascular risk: A systematic review and meta-analysis.

European journal of radiology
BACKGROUND: Pericoronary adipose tissue (PCAT) attenuation on coronary computed tomography angiography (CCTA) reflects local vascular inflammation, but its prognostic performance across heterogeneous imaging protocols and follow-up durations remains ... read more 

Diagnostic modalities in pediatric obstructive sleep apnea: A review article.

Sleep medicine
BACKGROUND: Pediatric obstructive sleep apnea (OSA) affects ∼3 % of children and causes adverse neurocognitive, behavioral, and cardiovascular outcomes. Polysomnography (PSG) remains the gold standard but faces accessibility constraints. This review ... read more 

Interpretable fusion deep learning on super-resolution MRI for perineural invasion prediction in pancreatic ductal adenocarcinoma: a multicenter study.

European journal of radiology
PURPOSE: To develop an interpretable fusion deep learning model based on super-resolution (SR) MRI for predicting preoperative perineural invasion (PNI) in pancreatic ductal adenocarcinoma (PDAC) and to evaluate its role in guiding postoperative prog... read more 

From 16S rRNA to deep learning: Evolution of computational approaches in human microbiome studies.

Computational biology and chemistry
The human microbiome plays a vital role in maintaining physiological balance and influencing immunity, metabolism, and disease development. Over the past decade, the field has witnessed a remarkable transition from traditional 16S rRNA sequencing and... read more 

Development and Validation of an Automated Pipeline for the Detection of Monteggia Fracture Dislocations in Pediatric Radiographs.

Journal of pediatric orthopedics
BACKGROUND: Monteggia fractures are a complex elbow injury that can be missed in up to 50% of pediatric elbow injuries during initial radiographic assessment due to their subtlety. The development of more advanced diagnostic tools is crucial to ensur... read more