Artificial Intelligence Medical Compendium

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

Showing 66,391 to 66,400 of 232,447 articles

Large Language Models and Machine Learning Framework for Predicting Dental Ceramics Performance.

International dental journal
INTRODUCTION AND AIMS: Clinical fractures remain the primary cause of failure in dental all-ceramic restorations, highlighting the need to improve the mechanical performance and durability of ceramic material. This study aimed to develop a large lang... read more 

A Multimodal Large Language Model Framework for Clinical Subtyping and Malignant Transformation Risk Prediction in Oral Lichen Planus: A Paired Comparison With Expert Clinicians.

International dental journal
BACKGROUND: Oral lichen planus (OLP), oral lichenoid lesions (OLL), and squamous cell carcinoma on a lichenoid background (SCC-over-LP/LLP) overlap clinically, delaying malignant transformation recognition. OBJECTIVE: To evaluate a multimodal large l... read more 

Interpretable machine learning for cognitive impairment screening: Development and external validation of a clinical prediction model based on NHANES data.

Experimental gerontology
BACKGROUND: Cognitive impairment in older adults poses a growing public health challenge, yet accessible screening tools remain limited. We aimed to develop and validate an interpretable machine learning model for cognitive impairment prediction by r... read more 

Degraders on Demand: Engineering Smart Nanocarriers for PROTAC Delivery.

Molecular pharmaceutics
Proteolysis-targeting chimeras (PROTACs) are transforming targeted therapeutics by enabling the selective and catalytic degradation of disease-associated proteins, offering new treatment avenues in oncology, neurodegeneration, immunology, and infecti... read more 

Unraveling the molecular mechanisms of air pollution-induced lung adenocarcinoma through machine learning, network toxicology, and molecular docking.

Biochemical and biophysical research communications
OBJECTIVE: Airborne environmental contaminants are established carcinogens. This investigation elucidates the mechanistic contributions to pulmonary adenocarcinoma (LUAD) pathogenesis. METHODS: Transcriptomic profiling through differential expression... read more 

Learning Health Systems provide a glide path to safe landing for AI in health.

Artificial intelligence in medicine
Artificial Intelligence (AI) holds significant promise for healthcare but often struggles to transition from development to clinical integration. This paper argues that Learning Health Systems (LHS)-socio-technical ecosystems designed for continuous ... read more 

DVAP-Reg: Dual-view anatomical prior-driven cross-dimensional registration for spinal surgery navigation.

Medical image analysis
2D-3D cross-dimensional registration serves as a critical technology in spinal surgery navigation, with profound implications for enhancing surgical precision, reducing radiation exposure and mitigating surgical risks. Its core objective is to achiev... read more 

Tackling data scarcity: Synthetic tumour and mask generation to improve image segmentation.

Artificial intelligence in medicine
Given the increasing data requirements of deep learning models and the scarcity of medical imaging data, new data augmentation techniques are receiving particular attention. This paper explores the subfield of tumour synthesis within medical image ge... read more 

Atmospheric pollution is associated with microbial community stability and functional diversity in river ecosystems.

Environmental pollution (Barking, Essex : 1987)
Air pollution, which poses a global threat to human and ecosystem health, has been extensively monitored by governments and researchers worldwide. However, the effects of air pollution on river ecosystems, particularly riverine microorganisms, have r... read more 

Evaluation of machine learning predictions for early reproductive success in commercial US dairies.

Journal of dairy science
Reproductive performance affects the profitability of a dairy herd. The ability to understand the reproductive capabilities of individual cows and the use of targeted reproductive management could optimize reproductive performance of dairy herds. To ... read more