AI Medical Compendium

Interpretable Machine Learning to Understand Wildfire Toxicity: Bridging Chemicals, Omics, and Toxicological Outcomes via Symbolic Regression with Novel Feature Scoring.

Chemical research in toxicology Apr 3, 2026

Wildfire smoke exposures are increasingly common, consisting of complex mixtures of gases and particulates known to cause diverse pulmonary health effects. While health outcomes are regularly studied, quantitative links between smoke chemical composi... read more

Co-repression of Yap1 and Sox9 Abrogates Established Cholangiocarcinoma by Eliminating Transcriptional Compensation.

Clinical and molecular hepatology Apr 3, 2026

BACKGROUND/AIMS: Intrahepatic cholangiocarcinoma (iCCA) represents an unmet clinical need due to its increasing incidence, aggressive biology, and limited treatment options. The extremely low-response rates to current systemic regimens and the emerge... read more

Use of natural language processing tools in musculoskeletal disability assessment: generating reports and calculating impairment percentages in Turkish health commission settings.

Disability and rehabilitation. Assistive technology Apr 3, 2026

PURPOSE: This study explores the potential of Natural Language Processing (NLP) tools, specifically ChatGPT-4o and Data Analyst, in supporting health commissions with disability assessments. METHODS: Nine realistic patient scenarios were created to r... read more

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures.

Advanced materials (Deerfield Beach, Fla.) Apr 3, 2026

Unprecedented advances in Artificial Intelligence (AI)-assisted automation continue to drive the demand for hardware that is significantly more scalable, compact, and energy-efficient. Neuromorphic electronics, which offers event-driven and massively... read more

Artificial Intelligence as Cognitive Support in Emergency Medicine.

Clinical and experimental emergency medicine Apr 3, 2026

Integrating the interpretable machine learning Score For Emergency Risk Prediction (SERP) with emergency department triage to better predict 30-Day mortality.

Clinical and experimental emergency medicine Apr 3, 2026

OBJECTIVE: This study integrates a machine learning (ML) based Score for Emergency Risk Prediction (SERP), developed using objective mortality endpoints with the Patient Acuity Category Scale (PACS) and evaluated its effectiveness in clinical use. ME... read more

Adherence to the 5A and 5R smoking cessation counselling models among Turkish family physicians: a multicenter cross-sectional study.

Journal of addictive diseases Apr 3, 2026

BACKGROUND: The 5A and 5R counselling models are widely recommended frameworks for smoking cessation; however, their implementation in primary care remains inconsistent. OBJECTIVE: This multicenter cross-sectional study assessed the use of these mode... read more

Evaluating the Artificial Intelligence Driven Monitoring System Notifications: Clear Aligner and Oral Hygiene Perspectives.

Orthodontics & craniofacial research Apr 3, 2026

INTRODUCTION: The widespread use of smartphones presents a remarkable opportunity for real-time management of orthodontic treatment. The development of orthodontic smartphone applications, such as Dental Monitoring (DM), epitomises the use of Artific... read more

CLIMBS: Assessing Carbohydrate-Protein Interactions through a Graph Neural Network Classifier Using Synthetic Negative Data.

Journal of chemical information and modeling Apr 3, 2026

Carbohydrate-protein interactions are essential for biological processes, such as cellular signaling and metabolism, and represent a large pool of untapped targets for diagnostics and therapeutics. However, current design and prediction methods fail ... read more

EXPRESS: EARLY TARGET OBJECT PREDICTION IN ACTION OBSERVATION.

Quarterly journal of experimental psychology (2006) Apr 3, 2026

Previous research has shown that observers can predict the target object of a grasping action from early hand preshaping cues. However, two critical questions remain unexplored: how predictions adapt to the available kinematic information and evolve ... read more

Artificial Intelligence Medical Compendium