Artificial Intelligence Medical Compendium

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

Showing 34,411 to 34,420 of 221,633 articles

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 

A physic-guided YOLO framework for pavement deformation distress detection.

Scientific reports
This research develops an automated methodology for detecting and assessing deformation pavement distress such as rutting and corrugation, using deep learning algorithms. Utilizing a dataset of road images, various YOLO algorithms were initially expl... read more 

CANSD v1.0: the first map of agricultural nitrogen surplus across China from 2000 to 2022.

Scientific data
Under the dual challenges of global climate change and agricultural sustainability, spatially precise characterization of agricultural nitrogen surplus has become a key technical bottleneck in balancing food security and water environmental protectio... read more 

Novel deep learning-based optimization framework for the classification of respiratory diseases using lung sound analysis.

Scientific reports
Respiratory disease classification using lung sound analysis offers a non-invasive and cost-effective diagnostic alternative to traditional imaging-based methods. This study proposes a deep learning-based optimization framework for automated respirat... read more