Artificial Intelligence Medical Compendium

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

Showing 56,991 to 57,000 of 227,153 articles

Machine learning based screening of potential paper mill publications in cancer research: methodological and cross sectional study.

BMJ (Clinical research ed.) Jan 29, 2026
OBJECTIVES: To train and validate a machine learning model to distinguish paper mill publications from genuine cancer research articles, and to screen the cancer research literature to assess the prevalence of papers that have textual similarities to... read more 

The Role of Conducting Polymers in Advancing Organoid Technology: A Perspective on Construction Assessment, Monitoring Devices, and Novel Bioregulation Strategies.

ACS applied materials & interfaces Jan 29, 2026
Conducting polymers (CPs) exhibit unique optoelectronic and bioactive properties, enabling the precise monitoring and modulation of complex physiological processes within organoid systems. This review highlights recent advances in CP-enhanced organoi... read more 

A quantitative, multimodal wearable bioelectronic device for comprehensive stress assessment and sub-classification.

Nature communications Jan 29, 2026
Stress is a universal experience impacting mental and physical health. However, no precise, objective wearable tool exists for continuous, long-term stress monitoring, which is essential for understanding stress-related health outcomes. To address th... read more 

Machine-learning-guided tungsten single atoms promote oxyhydroxides for noble-metal-free water electrolysis.

Nature communications Jan 29, 2026
Lowering the overpotential of oxygen evolution reaction with electrocatalysts is essential for efficient renewable-electricity-driven electrolysis. Active noble-metal catalysts suffer from leaching and scarcity, while non-noble alternatives face limi... read more 

A comprehensive IMU dataset for evaluating sensor layouts in human activity and intensity recognition.

Scientific data Jan 29, 2026
Human activity recognition (HAR) with wearable sensors is widely applied in health monitoring, fitness tracking, and smart environments, but the choice of sensor configuration remains a critical factor for balancing recognition performance with usabi... read more 

Patient-level CAD-RADS scoring from coronary radiomic features.

Scientific reports Jan 29, 2026
Synthesizing coronary radiomic data to obtain a single patient-wise Coronary Artery Disease-Reporting and Data System (CAD-RADS) score remains challenging. This work proposes four strategies for summarizing radiomic features extracted from 2779 multi... read more 

A Machine Learning approach for Total Water storage anomaly eXtension back to 1980 (ML-TWiX).

Scientific data Jan 29, 2026
We present ML-TWiX, a global dataset of monthly total water storage anomalies (TWSA) reconstructed from 1980 to 2012, provided on a 0.5° × 0.5° global grid. While the GRACE and GRACE Follow-On satellite missions have provided valuable observations of... read more 

Bioinspired triboelectric droplet sensor for ammonia monitoring.

Nature communications Jan 29, 2026
Gas sensors with fast response are in high demand for environmental and health applications. Conventional solid-state sensing materials are inherently constrained by response delays arising from chemical bond transformations, posing significant chall... read more 

Adaptive fusion based deep learning framework for restoring underwater image quality using multi scale attention features.

Scientific reports Jan 29, 2026
Images captured underwater often encounter quality degradation issues, such as blurring of details, low contrast, non-uniform illumination, and colour deviations. Like a significant challenge in computer vision (CV) and image processing, the developm... read more 

Mapping at-risk transportation infrastructure assets using statistical and machine learning methods.

Scientific reports Jan 29, 2026
Geotechnical assets such as highway embankments and slopes (HWS) are critical to the integrity of transportation infrastructure. However, they are largely overlooked by Transportation Asset Management programs in the United States. The HWS are vulner... read more 
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