AI Medical Compendium

Predictive modeling of fluid status in hemodialysis: model development and internal validation using the MONitoring dialysis outcomes (MONDO) global database.

Renal failure Jul 19, 2026

BACKGROUND: Optimized fluid management is crucial in dialysis care because extracellular volume overload drives adverse cardiovascular outcomes. At the same time, comorbidities such as inflammation and protein energy wasting lead to decreased muscle ... read more

Advancing sustainable agriculture through multi-parameter fuzzy soft set-based plant disease classification.

Scientific reports Jul 19, 2026

Plant diseases significantly affect agricultural productivity and global food security, while accurate disease identification remains challenging because of uncertain and overlapping visual symptoms in leaf images. Existing deep learning approaches o... read more

Vehicle lane change prediction with explainable soft mask attention mechanism and heterogeneous information encoder.

Scientific reports Jul 19, 2026

Lane-change intention prediction is critical for intelligent vehicles, and driver decisions depend on the perception and processing of driving context information. Despite advances in deep learning in this domain, further exploration of the driving c... read more

Age-Related Brain Atrophy Mediates a Composite Outcome of One-Year Ischemic Stroke Recurrence and All-Cause Mortality Through YKL-40-Related Inflammatory Pathways: A Structural Equation Model.

Translational stroke research Jul 18, 2026

Chronological age is a strong predictor of poor outcomes after ischemic stroke but may not fully capture underlying biological vulnerability. This study investigated whether age-related brain atrophy and plasma YKL-40, a marker of astroglial inflamma... read more

The Role and Impact of Artificial Intelligence in Preventive Dentistry: A Scoping Review.

International dental journal Jul 18, 2026

OBJECTIVE: This scoping review aims to identify the current applications of artificial intelligence (AI) in preventive dentistry for primary disease prevention and synthesises evidence regarding their impact on oral disease prevention. METHODS: A com... read more

Random Forest Modeling to Predict Small Molecule Accumulation in Gram-Negative Bacteria.

ACS infectious diseases Jul 18, 2026

Despite extensive efforts over the past ∼60 years to discover new classes of Gram-negative-active antibiotics, the development pipeline remains relatively dry. These failures can be largely ascribed to the complexity of the Gram-negative membranes an... read more

Interpretable Machine Learning Framework for Gas Adsorption Prediction and Screening on Transition Metal Dichalcogenides.

Langmuir : the ACS journal of surfaces and colloids Jul 18, 2026

Two-dimensional transition metal dichalcogenides (TMDs) are promising gas-sensing materials, but adsorption behavior across doped host-dopant-gas spaces remains difficult to predict and interpret. Here, we develop a descriptor-informed machine-learni... read more

Predicting local control of brain metastases after Gamma Knife radiosurgery: a multimodal deep learning-radiomics approach.

BMC medical imaging Jul 18, 2026

BACKGROUND: Accurate prediction of local control (LC) following Gamma Knife radiosurgery (GKRS) remains clinically challenging for patients with brain metastases (BMs) secondary to breast or lung cancer. The scarcity of validated pre-therapeutic biom... read more

Comparing the effects of GenAI-assisted and facilitator-led debriefing on knowledge and non-technical skills in immersive virtual reality simulation in nursing education: A quasi-experimental study.

Nurse education today Jul 18, 2026

BACKGROUND: Immersive virtual reality (IVR) simulation is increasingly used in nursing education to support experiential learning and the development of non-technical skills. Debriefing is integral to simulation-based education; however, shortages of... read more

Controllable Panoramic Radiograph Synthesis Using a Generative Model.

Journal of dental research Jul 18, 2026

Panoramic radiography (PR) is the one of the most widely prescribed diagnostic imaging modalities in dentistry. Achieving clinical-level automated interpretation of PR is critical for improving diagnostic efficiency, reducing radiologist workload, an... read more

Artificial Intelligence Medical Compendium