Artificial Intelligence Medical Compendium

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

Showing 2,301 to 2,310 of 202,214 articles

Deep learning in image forgery: A systematic review for risk of bias (RoB).

Journal of forensic sciences
Image forgery (IF) is a critical issue that can lead to the misinterpretation of visual information. Conventional strategies for IF detection are primarily manual feature-based and therefore require further analysis. Artificial intelligence (AI) has ... read more 

Predicting Enhancer-Promoter Interactions Using a Stacking-Based Ensemble Strategy.

Bioinformatics (Oxford, England)
MOTIVATION: Enhancer-promoter interactions (EPIs) are essential for gene regulation and disease progression. Recent studies have shown that distal enhancers can regulate target genes through interactions with nearby promoters, providing important ins... read more 

A unified multimodal model for generalizable zero-shot and supervised protein function prediction.

Bioinformatics (Oxford, England)
MOTIVATION: Predicting protein function is a fundamental and challenging task that requires integrating diverse biological data modalities to capture complex functional relationships. Traditional machine learning methods often rely on single modaliti... read more 

Machine learning-guided multi-omics suggests iron-dependent hormonal signaling drives root morphological plasticity in wheat under temperature stress.

The New phytologist
Root plasticity is crucial for crop survival under climate change. However, the coordinated regulatory network between metabolic disturbances and hormonal signaling that drives morphological adaptation under temperature fluctuations remains unclear. ... read more 

A pH-Responsive Antimicrobial Peptide Coating with Efficient Antibacterial Activity and Preserved Oral Microbiota Homeostasis during Clear Aligner Treatment.

ACS applied materials & interfaces
Bacterial adhesion and biofilm formation pose significant clinical challenges in clear aligner therapy, adversely affecting both oral health and aesthetics. In this study, a machine learning-driven strategy was used to develop a novel antimicrobial p... read more 

Artificial Intelligence Policies in Human Anatomy Journals: A Comparative Analysis and Recommendations.

Clinical anatomy (New York, N.Y.)
Professional organizations in human anatomy have not yet issued guidance on the use of artificial intelligence (AI) in scholarship, leaving decisions about its permissibility to individual journals and publishers. To date, however, journal and publis... read more 

Results of a new model of videotraining for patients and caregivers for peritoneal dialysis: food for (AI) thought?

Journal of nephrology
BACKGROUND: In an attempt to overcome the space-time limitations of traditional training we used a new telemedicine home-training model (Videotraining). We report our analysis of Videotraining for automated peritoneal dialysis (APD) carried out betwe... read more 

Understanding Human AI Discrepancy in Breast Cancer TIL Assessment: A Multi-Rater and Perceptual Bias Study

medRxiv
Objective: Tumor-infiltrating lymphocytes (TILs) in breast cancer are one of the most important indicators of the immune response within the tumor microenvironment. They play a particularly significant prognostic and predictive role in triple-negativ... read more 

Neuroanatomical dimensions in recent-onset depression: clinical profiles, inflammatory markers, and proteomic ageing

medRxiv
Background: Major depressive disorder (MDD) is clinically heterogeneous, hindering identification of reproducible biomarkers. Using a semi-supervised machine learning approach, HYDRA, we previously identified two neuroanatomical dimensions from struc... read more 

Prototyping a Generative AI-powered Person-centered Digital Health Tool to Mitigate Risk of Preventable Adverse Drug Events

medRxiv
Objectives: Older adults with comorbidities and polypharmacy have disproportionately high risk of hospitalization as well as readmission from adverse drug events (ADEs), of which 28%-71% are preventable (pADEs). This paper introduces an LLM applicati... read more