Artificial Intelligence Medical Compendium

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

Showing 1,431 to 1,440 of 163,957 articles

The role of face regions in remote photoplethysmography for contactless heart rate monitoring.

NPJ digital medicine
Heart rate (HR) estimation is crucial for early cardiovascular diagnosis, continuous monitoring, and various health applications. While electrocardiography (ECG) remains the gold standard, its discomfort and impracticality for continuous use have spu... read more 

Machine Learning-Driven SERS Analysis Platform for Accurate and Rapid Diagnosis of Peritoneal Metastasis from Gastric Cancer.

Annals of surgical oncology
BACKGROUND: Peritoneal metastasis (PM) is the most common form of distant metastasis in gastric cancer and is a major cause of mortality. Current diagnostic approaches suffer from low sensitivity, time-consuming procedures, and cannot provide real-ti... read more 

Smartphone-derived optical proxies for estimating toxicity risk of Microcystis aeruginosa complex in inland waters.

Environmental monitoring and assessment
Toxic blooms dominated by cyanobacterial colonies of Microcystis aeruginosa complex (MAC) accumulate in the water surface, so they can be tracked by remote sensing. The abundance of toxic MAC cells is related to colony size, a parameter affecting wat... read more 

A classification method for fluorescence emission spectra of anionic surfactants with few-shot learning.

Journal of molecular modeling
CONTEXT: The unregulated use of anionic surfactants poses significant environmental risks, necessitating methods for their rapid and accurate identification. While fluorescence spectroscopy is a powerful tool, its application faces a critical challen... read more 

External validation of a motion capture-based surgical skill assessment system in laparoscopic simulation training environments.

Surgical endoscopy
PURPOSE: To externally validate our surgical skill assessment system, which provides comprehensive real-time feedback based on motion capture (Mocap) metrics of laparoscopic instruments in simulation training environments. read more 

AI-driven preclinical disease risk assessment using imaging in UK biobank.

NPJ digital medicine
Identifying disease risk and detecting disease before clinical symptoms appear are essential for early intervention and improving patient outcomes. In this context, the integration of medical imaging in a clinical workflow offers a unique advantage b... read more 

Explainable AI-driven assessment of hydro climatic interactions shaping river discharge dynamics in a monsoonal basin.

Scientific reports
Accurate river discharge forecasting is essential for effective water resource management, particularly in regions prone to monsoonal variability and extreme weather events. This study presents an interpretable deep learning framework for daily river... read more 

Transforming label-efficient decoding of healthcare wearables with self-supervised learning and "embedded" medical domain expertise.

Communications engineering
Healthcare wearables are transforming health monitoring, generating vast and complex data in everyday free-living environments. While supervised deep learning has enabled tremendous advances in interpreting such data, it remains heavily dependent on ... read more 

Can AI find the cavities in caries prediction and diagnosis?

Evidence-based dentistry
A COMMENTARY ON: Rokhshad R, Banakar M, Shobeiri, P, Zhang P. Artificial intelligence in early childhood caries detection and prediction: a systematic review and meta-analysis. Pediatr Dent. 2024;46:385-394. read more 

A comprehensive review of neural network-based approaches for drug-target interaction prediction.

Molecular diversity
Predicting Drug-Target Interactions (DTI) is vital for accelerating drug discovery and repurposing. This review assesses the efficacy of neural network-based methods, including Convolutional Neural Networks (CNNs), Graph Neural Networks (GNNs), and T... read more