AI Medical Compendium

Impact of continuing renin-angiotensin-aldosterone system inhibitors before surgery on intraoperative hypotensive events: a secondary analysis of the STOP-or-NOT Trial.

British journal of anaesthesia Jan 9, 2026

BACKGROUND: The multicentre STOP-or-NOT trial has shown that continuation of renin-angiotensin-aldosterone inhibitors (RAASis) before major noncardiac surgery did not increase the rate of postoperative complications, but led to a higher incidence of ... read more

Challenges in improving the equation for estimating 24-h urinary sodium excretion from casual urine in hypertensive patients taking antihypertensive drugs: addressing overestimation, especially at low sodium excretion levels.

Hypertension research : official journal of the Japanese Society of Hypertension Jan 9, 2026

The estimation formula by Tanaka et al. for predicting the 24-h urinary sodium (Na) excretion (24Na) from a single causal urine sample is widely used. However, it overestimates values in the low 24Na range. We aimed to develop a formula to improve th... read more

Unlocking Insights from Postictal EEGs: Investigating Predictive Markers of Seizure Recurrence.

Annals of biomedical engineering Jan 9, 2026

PURPOSE: Seizure recurrence, often presenting as clusters, is a major clinical concern linked to increased morbidity. The immediate postictal period is a critical yet understudied window where recurrence frequently arises. This study evaluates whethe... read more

Urban waste management inequities in New York city: a case study on spatial patterns of controlled and uncontrolled street waste and their associated factors.

Waste management (New York, N.Y.) Jan 9, 2026

Comprehensive urban waste management systems, addressing municipal waste collection and construction waste disposal, are essential for maintaining livable and sustainable cities. Understanding the spatial distribution patterns of controlled and uncon... read more

Psychological factors in consumer intentions toward smartwatches: A study on technology adoption and behavior.

Acta psychologica Jan 9, 2026

This research examines the psychological factors that contribute to consumer intentions toward smartwatches, with a particular focus on technology adoption and consumer behavior. It incorporates motivational and decision-making psychological theories... read more

Advancing real-time coastal data monitoring: Bio-optical property analysis (chlorophyll-a and TSM) in the Northern Bay of Bengal using Sentinel-3 OLCI, IRS Oceansat-3, and artificial neural networks.

Marine pollution bulletin Jan 9, 2026

Monitoring bio-optical attributes in estuarine environments is crucial for understanding ecosystem productivity, sediment dynamics, and climate-induced hydrological changes. This research introduces an integrated multi-sensor and machine learning app... read more

In silico design of stable single-domain antibodies with high affinity.

Structure (London, England : 1993) Jan 9, 2026

Designing antibodies is complex and resource intensive. While deep learning and generative approaches have shown promise in the design of protein binders, achieving high affinity and stability remains challenging. We introduce EvolveX, a structure-ba... read more

Artificial intelligence and machine learning in antimicrobial discovery, resistance prediction, and precision therapy.

International journal of antimicrobial agents Jan 9, 2026

OBJECTIVES: The global crisis of antimicrobial resistance (AMR) demands a paradigm shift in traditional drug discovery, and artificial intelligence (AI) is uniquely positioned to lead this transformation. METHODS: We highlight how AI and machine lear... read more

K-means++ guided multi-view CNN with channel attention for EEG emotion recognition.

Brain research Jan 9, 2026

The use of artificial intelligence for emotion recognition is the focus of improving human-computer interaction. Recently, deep learning has been widely used in the study of emotion recognition. However, how to correctly identify emotions still faces... read more

An artificial intelligence-assisted automated quantitative evaluation system for condylar morphological changes of temporomandibular joint.

Journal of dentistry Jan 9, 2026

OBJECTIVES: To develop an artificial intelligence (AI)-assisted system for the automated quantitative evaluation of temporomandibular joint (TMJ) condylar morphological changes. METHODS: This study utilized 212 cone-beam computed tomography (CBCT) sc... read more

Artificial Intelligence Medical Compendium