AI Medical Compendium

Development and validation of machine learning models for predicting operative duration in assisted reproductive technology procedures.

BMC medical research methodology Feb 4, 2026

BACKGROUND: Accurate prediction of operative duration is essential for efficient scheduling and resource allocation in surgical settings. In assisted reproductive technology (ART), procedures are brief yet highly time-sensitive, such that even small ... read more

Effects of Robot-Assisted Gait Therapy on Urodynamic Changes in the Subacute Phase After Spinal Cord Injury: A Prospective Study.

Medical science monitor : international medical journal of experimental and clinical research Feb 4, 2026

BACKGROUND Approximately 70% to 84% of patients with spinal cord injury (SCI) have varying degrees of bladder dysfunction, which can lead to upper urinary tract complications. Urodynamics is the standard method for evaluating bladder function after S... read more

Ultrasound-guided microwave ablation for breast tumors: current status and future perspectives.

Diagnostic and interventional radiology (Ankara, Turkey) Feb 4, 2026

Ultrasound (US)-guided microwave ablation (MWA) has emerged as a promising minimally invasive therapy for both benign and malignant breast tumors. This review comprehensively examines the current clinical status, technical principles, and therapeutic... read more

Spinal cord injury impact on skin temperature regulation during graded exercise: metaheuristic data mining-based predictions.

Computer methods in biomechanics and biomedical engineering Feb 4, 2026

People with spinal cord injury (SCI) show impaired thermoregulation during exercise, making skin temperature a noninvasive indicator. This study applies hybrid Extreme Learning Machine (ELM) models optimized with Ant Lion, Dragonfly, and Evolution St... read more

Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches.

Chemistry (Weinheim an der Bergstrasse, Germany) Feb 4, 2026

Machine learning (ML) models are increasingly used in quantum chemistry, but their reliability hinges on uncertainty quantification (UQ). In this study, we compare two prominent UQ paradigms-deep evidential regression (DER) and deep ensembles-on the ... read more

Improvement of salt stress tolerance in Salvia officinalis L. by co-culture with halophytic plants: comparative study with Aptenia cordifolia and Spergularia salina.

Journal of the science of food and agriculture Feb 4, 2026

BACKGROUND: Soil salinity is a major abiotic stress limiting crop productivity, particularly for glycophytic species such as sage (Salvia officinalis L.), a medicinal plant of high pharmacological and economic importance. Conventional tolerance mecha... read more

Research and Application of Artificial Intelligence in Food Flavour Analysis.

Critical reviews in analytical chemistry Feb 4, 2026

In recent years, the combination of food flavor and artificial intelligence has become increasingly frequent. The combination of food flavor and artificial intelligence has more advantages compared to traditional analytical methods. It can not only p... read more

Ear Size and Position Variations Rated by Casual Observers on Artificial Intelligence-Generated Models.

Facial plastic surgery & aesthetic medicine Feb 4, 2026

BACKGROUND: Auricular asymmetry affects facial aesthetics; yet, the degree of asymmetry discernible by a casual observer remains poorly defined. OBJECTIVE: To measure the casual observer's perception of auricular size, angulation, protrusion, and ver... read more

SlipChip: from principle to applications.

Lab on a chip Feb 4, 2026

The SlipChip is a versatile microfluidic platform that enables precise control of fluidic connections through the relative sliding of two microstructured plates, without requiring external pumps or valves. SlipChip facilitates fluid aliquoting, mixin... read more

Users' Trust Evolvement in Fully Driverless Robotaxis During First Ride: An On-Road Study.

Human factors Feb 4, 2026

ObjectiveThis study investigates how users' trust evolves during their first ride in a fully driverless robotaxi and how it can be affected by user characteristics, system design, and traffic scenarios.BackgroundAs driving automation technology matur... read more

Artificial Intelligence Medical Compendium