AI Medical Compendium

AI-enabled digital wound monitoring after cardiac surgery: a randomised controlled feasibility, safety, and acceptability trial.

The Journal of hospital infection May 4, 2026

BACKGROUND: Surgical site infection after cardiac surgery is a common cause of morbidity and unplanned healthcare use, with most infections developing after hospital discharge. Remote wound monitoring using smartphone technology and artificial intell... read more

Artificial intelligence for detection of root canal fillings and evaluation of obturation quality on dental radiographs: A systematic review.

Journal of dentistry May 4, 2026

OBJECTIVES: To systematically evaluate evidence on artificial intelligence (AI) for root canal filling (RCF) detection and radiographic assessment of obturation quality. DATA: Eligible studies assessed AI-based models for RCF detection and/or obturat... read more

Scaling, performance, and quality: Machine-Learning evidence for how WWTP and compost processes shape microplastics.

Environmental research May 4, 2026

Composting is a key pathway for microplastics (MPs) to enter soils via organic waste. Based on 635 records from 99 studies, MP abundance was higher in sludge-based and mixed composts than in plant-derived materials. Meta-analysis of wastewater treatm... read more

Overcoming measurement challenges in clinical practice: a deep learning-based approach to monocular surface area measurement.

Skin health and disease May 4, 2026

BACKGROUND: Precise area measurement of body surfaces is essential in clinical trials and clinical practice, particularly for the clinician, to monitor lesion size, assess skin condition severity and determine precise treatment dosage. The inherent d... read more

Decoding the neural mechanisms of salty peptide perception via electroencephalography and machine learning.

Food chemistry May 3, 2026

Excessive sodium intake poses major public health risks, driving the search for salt substitutes that preserve desirable flavor. Salty peptides have emerged as promising low-sodium alternatives, yet their neural perception, distinct from the ion-depe... read more

Temperature robustness of sulfur and hydrogen autotrophic reduction systems for antimonate detoxification: Experiment and machine learning-driven evaluation.

Journal of hazardous materials May 3, 2026

This study, for the first time, revealed the temperature robustness of elemental sulfur (S0) (SAR) and hydrogen (H2) (HAR), and a combination of S0 and H2 autotrophic reduction (SHAR) systems for Sb(V) removal from water. SHAR system demonstrated sup... read more

Support vector Regression-Optimized Ultrasonic-Assisted alkaline extraction of Chroogomphus rutilus Polysaccharides: Enhanced yield and preservation of helical conformations.

Ultrasonics sonochemistry May 3, 2026

Polysaccharides from Chroogomphus rutilus (CRPs) exhibit promising bioactivities; however, conventional alkaline extraction (CAE) often results in low yields and structural disruption. In this study, a support vector regression (SVR)-optimized ultras... read more

How improper dataset split hinders model generalizability: a systematic comparison in Human activity recognition and exercise evaluation tasks.

International journal of medical informatics May 3, 2026

BACKGROUND: Human Activity Recognition (HAR) and exercise assessment models are increasingly used in healthcare to support clinical evaluation, rehabilitation, and remote monitoring. However, their real-world applicability critically depends on the a... read more

Artificial intelligence predictions of knee kinematics, kinetics, and internal biomechanics during walking in people with knee osteoarthritis: A systematic review and meta-analysis.

Clinical biomechanics (Bristol, Avon) May 3, 2026

This review synthesizes current literature on the use of artificial intelligence (AI) to predict knee biomechanics during walking in people with knee osteoarthritis (OA). Four databases were searched from inception to 22/01/2025. Risk of bias was ass... read more

Integrating human and nonhuman intelligence to reduce tobacco's public-health burden.

Current opinion in psychiatry May 3, 2026

PURPOSE OF REVIEW: Tobacco use remains the leading preventable cause of death worldwide, while the rise of electronic nicotine products has sparked a new wave of initiation. The urgent need for scalable, multilevel tobacco-control interventions conve... read more

Artificial Intelligence Medical Compendium