Artificial Intelligence Medical Compendium

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

Showing 22,181 to 22,190 of 216,627 articles

MIM-ML: Combining Molecular Fragmentation and Machine Learning for Accurate Prediction of NMR Chemical Shifts for Large Peptides.

The journal of physical chemistry. A May 6, 2026
Accurate prediction of NMR chemical shifts for large biomolecules remains a major challenge due to the steep scaling of quantum-mechanical (QM) models with system size. Our group has developed a systematic fragmentation-based approach known as molecu... read more 

AIEdit: Alignment-free genome assembly polisher trained on spaced seed match patterns.

PLoS computational biology May 6, 2026
Polishing, the process of correcting base-level errors in genome assemblies, is a critical step for ensuring accuracy in downstream analyses, such as variant calling, gene annotation, and clinical genomics applications. While recent advances in long-... read more 

Predicting corporate management performance using AI: Incorporating CEO strategy insights from sustainable management reports.

PloS one May 6, 2026
This study proposes an AI-based model to predict corporate management performance by combining financial data with strategic information extracted from CEO messages in sustainability reports. Using a dataset of 1,271 listed companies on Korea's KOSPI... read more 

Machine learning-based unified models for predicting drug clearance from pharmacokinetic animal and study design variables.

PloS one May 6, 2026
Clearance (CL) is a primary pharmacokinetic (PK) parameter crucial to determine how quickly a drug is eliminated from the body, which guides the appropriate dosing interval to maintain a consistent concentration in blood. Given the importance of CL, ... read more 

Enhanced tourist flow forecasting in Aosta Valley: A novel ensemble AI framework with adaptive temporal dynamics.

PloS one May 6, 2026
Despite significant advances in tourism forecasting methods, current approaches suffer from critical limitations including static ensemble weighting mechanisms that fail to adapt to changing environmental conditions, insufficient integration of multi... read more 

Building Toward a Future for Electronic Health Record Systems.

Annual review of biomedical data science May 6, 2026
Health information technology tools, including electronic health records, are ubiquitous in healthcare across the United States. Despite the promise and opportunity of these tools, their benefits have been uneven while also having the unintended cons... read more 

Factors Associated with Respite Care Use Among Veteran Caregivers: A Machine Learning Analysis.

The Gerontologist May 6, 2026
BACKGROUND AND OBJECTIVES: Respite care provides temporary relief to family caregivers yet remains underused, and the factors shaping its utilization among Veteran caregivers are not well understood. This evaluation examined caregiver‑ and Veteran‑sp... read more 

Machine learning-driven discovery of optimal designs for water electrolysis devices.

Science advances May 6, 2026
Green hydrogen production via water electrolysis is key to decarbonizing energy systems, but current electrolyzer designs are energy-intensive due to gas bubble entrapment and manual optimization. This study introduces a machine learning (ML) strateg... read more 

SelfBlending: Artificial Intelligence-driven Augmentation with Hand Interactions for Seamless Reality Blending in Virtual Environments.

IEEE transactions on visualization and computer graphics May 6, 2026
Accessing real-world objects during immersive virtual reality (VR) experiences remains challenging, as current cross-reality systems often rely on predefined interaction steps, tracking devices/markers, or fixed object setups. They also lack support ... read more 

HRMamba: A Hybrid Retinex and State-Space Model for Underwater Image Enhancement.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society May 6, 2026
Underwater light absorption and scattering lead to severe color distortion, reduced visibility, contrast loss, and a significant degradation in image quality, thereby impeding both human visual analysis and machine vision tasks. Although considerable... read more 
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