Artificial Intelligence Medical Compendium

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

Showing 1,561 to 1,570 of 213,568 articles

Multitask learning-based phonocardiogram denoising model for preserving valvular heart disease characteristics.

Physiological measurement Jul 17, 2026
This study developed a multitask learning (MTL)-based denoising model to reconstruct phonocardiogram (PCG) signals while preserving heart murmur characteristics under both synthetic and diverse real-world clinical noise. The model was trained to join... read more 

Anchor-free temporal localization of apnea events from EEG/EOG with state-space models.

Physiological measurement Jul 17, 2026
Reduced-channel polysomnography (PSG) and electroencephalography/electrooculography (EEG/EOG) signals can support obstructive sleep apnea (OSA) screening, but many learning-based systems use coarse epoch-level classification and generalize poorly acr... read more 

Machine learning for predicting full-count FDG PET brain images from low-count acquisitions in suspected dementia: a clinical and quantitative evaluation.

Physics in medicine and biology Jul 17, 2026
Objective.Artificial intelligence methods for denoising low-count FDG PET brain images are usually evaluated using image quality metrics alone, with limited direct clinical assessment, particularly in suspected dementia. This study evaluated a machin... read more 

Multi-parameter scoliosis evaluation from dual-view x-rays via a local sine-based projection model.

Physics in medicine and biology Jul 17, 2026
OBJECTIVE: To develop a robust and accurate multi-parameter assessment framework for adolescent idiopathic scoliosis (AIS) based on spinal X-ray images, overcoming the limitations of traditional Cobb angle-based evaluation. APPROACH: We proposed a du... read more 

Enhancing the golden hour: classification of traumatic brain injury, severity, and concomitant clinical phenotypes using prehospital continuous physiological data during air transport.

Physiological measurement Jul 17, 2026
During emergency transport, clinical assessment and vital signs may lack the sensitivity to identify traumatic brain injury (TBI) and identify specific TBI subtypes which may have implications for triaging and timely delivery of life-saving intervent... read more 

Multi-centre generalisability of deep learning-based dose prediction for head and neck radiotherapy using DAHANCA real-world data.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jul 17, 2026
INTRODUCTION: Deep learning dose prediction shows promise for automated radiotherapy planning and quality assurance in head and neck cancer (HNC). Clinical adoption requires validation of model generalisability using clinically relevant metrics. The ... read more 

Brain organoids in Parkinson's disease drug development: Human-specific models for translational discovery.

Drug discovery today Jul 17, 2026
Parkinson's disease (PD) poses a major unmet therapeutic challenge, with most drug candidates failing in clinical translation despite promising animal model data. Human induced pluripotent stem cell-derived midbrain organoids recapitulate key PD path... read more 

Protective Effects of p-Coumaric Acid Against Lead-Induced Hepatic Oxidative Stress, Inflammation, and Apoptosis: Integrated Molecular and Machine Learning-Based Analysis.

Environmental toxicology and pharmacology Jul 17, 2026
Lead (Pb) exposure is a major environmental health concern that induces hepatic injury through oxidative stress, inflammation, and apoptosis. This study evaluated the hepatoprotective effects of p-coumaric acid (PCA), a phenolic compound, against Pb-... read more 

Development and external validation of AI-ECG models in athlete pre-participation screening: Performance, limitations, and clinical implications.

International journal of cardiology Jul 17, 2026
BACKGROUND: Pre-participation screening (PPS) in competitive athletes aims to identify cardiovascular diseases associated with sudden cardiac death (SCD). Although the 12‑lead electrocardiogram (ECG) represents the cornerstone of PPS, structural abno... read more 

Genetic algorithm-guided sample design enables efficient machine learning-driven optimization of tauroursodeoxycholic acid production in engineered Escherichia coli.

Bioresource technology Jul 17, 2026
Data-driven machine learning (ML) approaches offer powerful tools for modeling and optimizing complex fermentation processes, yet their application is often limited by the need for large experimental datasets, which is difficult to meet in low-throug... read more 
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