AI Medical Compendium

A BiLSTM-Based Framework for Sleep Spindle and K-complex Detection with Enhanced Segment-Level Learning.

IEEE transactions on bio-medical engineering Apr 1, 2026

Sleep spindles and K-complexes in electroencephalo gram (EEG) signals are brief yet physiologically essential signatures of the sleeping brain, supporting memory consolidation, arousal regulation, and neurological assessment. However, existing detect... read more

Sonogenetics for Precision Medicine: A Focus on Immunoengineering and Genome Engineering.

IEEE reviews in biomedical engineering Apr 1, 2026

Ultrasound can penetrate centimetres of soft tissue, focus energy with millimetre precision, and operate safely under real-time image guidance. Leveraging these advantages, sonogenetics combines therapeutic ultrasound with genetic, cellular, and mole... read more

Tuning Immersion and Performance with Adaptive Generative Music in VR.

IEEE transactions on visualization and computer graphics Apr 1, 2026

Music in virtual environments has long been treated as a temporal evolving element, enhancing atmosphere and game pace but rarely considered as a performance adaptive element. Recent advances in artificial intelligence (AI) and procedural audio make ... read more

DiffPC: Diffusion-Based Projector Photometric Compensation.

IEEE transactions on visualization and computer graphics Apr 1, 2026

Projector photometric compensation corrects color distortions introduced by surface texture, reflection, and ambient lighting. Existing deep learning-based methods usually require professional scene-specific data collection and lack consideration for... read more

Performance of Large Language Models vs Conventional Machine Learning for Predicting Clinical Outcomes With Limited Data: Comparative Study.

JMIR AI Apr 1, 2026

BACKGROUND: Machine learning (ML) can be used to predict clinical outcomes. Training predictive models typically requires data for hundreds or thousands of patients. Lowering this requirement to a few tens of patients would enable new applications in... read more

Training an AI Chatbot to Manage Health in Underserved Populations: Methodological Approach.

JMIR AI Apr 1, 2026

BACKGROUND: Health disparities such as morbidity and mortality among childbearing women remain high in the United States, especially among those with risks associated with criminal legal system involvement. These underserved women are often managed t... read more

A lightweight and explainable cardiac signal framework for screening-oriented cardiometabolic risk assessment.

Computers in biology and medicine Apr 1, 2026

Early identification of cardiometabolic and autonomic dysfunction using electrocardiogram (ECG) signals is essential for preventive cardiovascular screening, especially in resource-constrained settings. This paper presents a lightweight and interpret... read more

Standard audiogram classification from loudness scaling data using unsupervised, supervised, and explainable machine learning techniques.

International journal of audiology Apr 1, 2026

OBJECTIVE: To address the calibration and procedural challenges inherent in remote audiogram assessment for rehabilitative audiology, this study investigated whether calibration-independent adaptive categorical loudness scaling (ACALOS) data can be u... read more

Machine Learning-Based Phenotypes Combined with Comorbidity Burden in Cardiogenic Shock.

European journal of heart failure Apr 1, 2026

Yield Prediction of Organic Reactions in Biased Data Sets via Positive-Unlabeled Learning.

Journal of the American Chemical Society Apr 1, 2026

The vast reaction data within scientific literature represents a rich resource for training predictive machine learning models. However, this resource is fundamentally compromised by a pervasive selection and reporting bias, resulting in imbalanced d... read more

Artificial Intelligence Medical Compendium