Artificial Intelligence Medical Compendium

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

Showing 18,861 to 18,870 of 214,544 articles

Teaching artificial intelligence through drug-drug interaction clustering analysis: Integrating project-based learning and large language models.

PLoS computational biology
In recent years, artificial intelligence (AI) has increasingly influenced daily life and scientific research. Traditionally, AI-related courses have targeted computer science majors, while systematic instructional opportunities for early-stage underg... read more 

Automating multi-label crisis detection in psychological support hotlines with pre-trained models.

PLOS digital health
Psychological support hotlines provide immediate help to individuals in crisis, with operators assessing emotional states and suicide risk. However, increasing demand has led to a shortage of trained professionals, emphasizing the need for AI-driven ... read more 

Neural Motion Path: a Path-based Authoring System for Pre-rendered Character Animation.

IEEE transactions on visualization and computer graphics
Authoring high-quality character animation is essential in multimedia production, especially for pre-rendered formats such as films and TV series. These workflows are often iterative, requiring frequent adjustments and immediate visual feedback, and ... read more 

Multiscale Spatial Frequency-Aware Transformer and Saturation Analysis for Universal Deepfake Detection.

IEEE transactions on cybernetics
The rapid advancement of generative artificial intelligence technologies has introduced new security challenges, raising significant concerns. As deepfake technology becomes more sophisticated, it might be exploited by malicious actors to generate hi... read more 

Fast BCIs: Leveraging Dual-Scale Time Windows with Test-Time Adaptation to Enhance Accuracy.

IEEE transactions on bio-medical engineering
Brain-computer interfaces (BCIs) must deliver outputs rapidly in numerous practical applications. However, the decoding accuracy may decline significantly when the time window (TW) is too short, a challenge exacerbated by the increasing adoption of d... read more 

Hand Gesture Intention Detection Using sEMG and Transfer Learning in Stroke Survivors.

IEEE journal of biomedical and health informatics
Surface electromyography (sEMG) has shown potential for intuitive control of wearable assistive technologies in individuals with motor impairments. However, accurately classifying sEMG signals in stroke patients, particularly those with severe impair... read more 

BrainPrompt+: Multi-Level Brain Prompt Learning for Knowledge-Guided Neurological Disorder Identification.

IEEE transactions on medical imaging
Accurate identification of neurological disorders such as Alzheimer's disease (AD), Parkinson's disease (PD), and Autism Spectrum Disorder (ASD) is challenging due to subtle early-stage symptoms and heterogeneous brain dynamics. Resting-state functio... read more 

Bioinformatics approach to identify potential biomarker and drug target for the clinical and subclinical mastitis disease in dairy cattle.

PloS one
Mastitis in dairy cattle is a serious issue that affects not just the animals but also has broad social, cultural, economic, and human consequences. It does in a wide variety of ways and the most remarkable of which are reduced milk yield and produce... read more 

Integrative bioinformatic analysis prioritizes TIMP1 and FN1 as angiogenesis-related candidate genes in diabetic foot ulcers.

PloS one
BACKGROUND: Diabetic foot ulcers (DFUs) represent a severe chronic complication of diabetes and are characterized by persistent impairment of wound healing, accompanied by defective angiogenesis, chronic inflammation, and dysregulated extracellular m... read more 

Decoding (digital) histopathology: The building blocks for computational researchers.

PLOS digital health
Computational Pathology is a novel discipline at the intersection of pathology and computer science, driven by the recent advances in machine learning and image analysis. Nevertheless, combining the insights from both disciplines remains challenging,... read more