Artificial Intelligence Medical Compendium

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

Showing 34,291 to 34,300 of 221,510 articles

CTFear: a Fear Emotion Intensity Classification Method Based on EEGand Real-Time Labeling in Virtual Environment.

IEEE transactions on visualization and computer graphics
Fear plays a crucial role in human behavior and psychological responses. However, accurately quantifying its intensity remains challenging. To address this, we proposed a labeling paradigm in virtual environments: while watching immersive VR videos, ... read more 

Deep Learning Driven Evaluation of MR-guided Focused Ultrasound Ablation.

IEEE transactions on bio-medical engineering
OBJECTIVE: Magnetic resonance-guided focused ultrasound (MRgFUS) thermal therapy is a promising incisionless procedure for breast cancer treatment. for assessing treatment efficacy. Current approaches rely on thermal and vascular MRI-derived biomarke... read more 

Anatomy-Guided Self-Supervised Distillation Learning for Medical Image Analysis.

IEEE transactions on medical imaging
3D medical imaging modalities, including CT and MRI, provide high-resolution views essential for precision medicine. However, the increasing volume and complexity of 3D medical images challenge manual analysis, particularly in classification and segm... read more 

Single-Bacterium Screening of Oral Pathogens by Terahertz Near-Field Nanoscopy Derived Multiparameter.

Analytical chemistry
Accurate identification of oral bacteria is essential for assessing oral and systemic diseases. Conventional phenotyping methods and molecular biology techniques exhibit limitations, including low sensitivity and operational complexity. Here, we pres... read more 

A responsible AI framework for infection surveillance in low-resource settings: ethics, opportunities and threats for LMICs (EOT-LMICs).

International health
The integration of artificial intelligence (AI) into infection surveillance represents a significant shift in public health; however, most AI frameworks and implementation guidance neglect the distinct constraints of low- and middle-income countries ... read more 

Targeted Real-Time Assessment of Chronic Pain (TRAC-Pain) in Youth: Protocol for a Digital Biosignature Development Through a Prospective Observational Cohort Study.

JMIR research protocols
BACKGROUND: Approximately 1 in 5 children and adolescents live with chronic pain, with musculoskeletal (MSK) pain being one of the most prevalent subtypes. Unfortunately, some studies show that less than half of youth (<18 years) experience improveme... read more 

StarFunc: Fusing Template-based and Deep Learning Approaches for Accurate Protein Function Prediction.

Genomics, proteomics & bioinformatics
Deep learning has significantly advanced the development of high-performance methods for protein function prediction. Nonetheless, even for state-of-the-art deep learning approaches, template information remains an indispensable component in most cas... read more 

From Pilot Trap to Institutional Capacity: A Governance Framework for Sustainable Clinical AI Implementation in Health Systems.

Journal of medical Internet research
Clinical artificial intelligence (AI) applications frequently fail to transition from short-term pilot projects into sustained components of routine clinical care, a phenomenon referred to in this viewpoint as the pilot trap. This persistent gap refl... read more 

A Cantilever-Based Broadband Acoustoelectric Device with Aligned PVDF-HFP Nanofibers for Self-Powered Sensing and High-Accuracy Speech Recognition.

ACS applied materials & interfaces
As the adoption of acoustic sensing grows in speech recognition, health monitoring, and the Internet of Things, the limited broadband response of flexible acoustic sensors has become a significant challenge. This study presents a novel acoustoelectri... read more 

HCCaging: a liver physiological aging-related biomarker for hepatocellular carcinoma diagnosis based on transcriptome data.

npj aging
Aging is a fundamental biological process that influences cancer development in a context-dependent manner; however, how aging-related programs manifest in hepatocellular carcinoma (HCC) remains incompletely understood. Here, we systematically charac... read more