Surveillance

Hypotension Prediction Index-Guided Hemodynamic Management on Postoperative Organ Outcome: A Systematic Review and Meta-Analysis of Randomized Clinical Trials.

Intraoperative hypotension (IOH) is a frequent occurrence during noncardiac surgery. Hypotensive episodes can compromise tissue perfusion, and cumulative exposure has been associated with adverse outcomes such as acute kidney injury (AKI), myocardial injury, and increased mortality. The Hypotension Prediction Index (HPI) is an artificial intelligence tool designed to predict hypotensive events bef...

Development and Validation of a Web Calculator for Predicting the Risk of Lower Limb Varicose Veins.

The aims of the present study were to develop and validate a predictive model for lower limb Varicose Veins, and to visualize the results using a web calculator for assessing the probability of patients developing Lower Limb Varicose Veins. A convenience sampling method was employed to select 421 patients from December 2023 to April 2024 at the health check-up center and vascular surgery outpatien...

Diagnostic accuracy and deployment readiness of AI for burn depth assessment across imaging modalities: a PRISMA-DTA systematic review and meta-analysis.

BACKGROUND: AI-based burn depth assessment is rapidly emerging, yet evidence for diagnostic accuracy, generalizability, and deployment readiness remai...

Automated scout-image-based estimation of contrast agent dosing: a deep learning approach.

BACKGROUND: Optimal contrast agent dosing in computed tomography (CT) depends on accurate patient weight, yet manual measurements increase workload an...

Artificial intelligence in microbiology: implications for metagenomics, diagnostics, and AMR surveillance.

Artificial intelligence (AI) is now a key player in modern microbiology, as it enables high-resolution analyses of genomic, metagenomic, and clinical ...

Artificial intelligence at the frontlines: Emerging infectious and parasitic diseases in the digital era.

Emerging infectious diseases are one of the most significant threats to global health, driven by many factors such as zoonotic spillovers, climate cha...

AI in Oral Health Surveillance: Critical Review.

Artificial intelligence (AI) holds transformative potential for advancing oral health surveillance by streamlining data collection, integration, and d...

The emergence of superficial dermatophytosis due to Trichophyton indotineae and Trichophyton mentagrophytes genotypes VII and II* in New York: a need for comprehensive testing approaches.

We report a rapid increase in dermatophyte infections in New York City and surrounding counties from 2022 to 2024. Reported cases include 135 of Trich...

Views of People With Psychosis About Algorithm-Based Relapse Prediction and Data Sharing: Qualitative Study.

BACKGROUND: Preventing relapses of psychosis is difficult and important. Digital remote monitoring (DRM) systems are being developed and tested to sup...

Dynamic Surveillance of the Cardiovascular Risk and Identification of Treatment Responders in Type 2 Diabetes Using A Machine Learning-Based Model.

AIMS: To establish a model to predict cardiovascular risk and identify treatment response for patients with type 2 diabetes. METHODS: Data from 11677 ...

Electronic health record-based prediction models for dementia detection: a systematic review of model performance and quality.

OBJECTIVES: Leveraging routine electronic health records (EHR) for dementia detection is a growing field, but quality and clinical utility of existing...

'Malnutrition Receives High Priority': Nurses' Experiences in Providing Nutritional Support in Hospitalized Patients-A Qualitative Study.

AIMS: To describe nurses' experiences in managing malnutrition in hospitalized adults and providing support along an interprofessional nutritional sta...

AI-Derived LA Volume Index, LA/RA and LA/LV Volume Ratios From Coronary Artery Calcium Scans Predict Long-Term Atrial Fibrillation and Stroke.

BACKGROUND: The AI-CVD initiative aims to extract actionable insights from coronary artery calcium (CAC) scans beyond the traditional CAC score. Altho...

A multicenter, video-EEG-based validation of a multimodal wearable device for focal seizure detection in adults: The SeizeIT2 study.

OBJECTIVE: Currently available wearable devices for detecting focal seizures primarily target major motor seizures or involve semi-invasive subscalp i...

The Alberta Quality Assessment Tool: Risk of Bias (AQAT:RoB) for the Evaluation of Medical Large Language Model Question-Answer Studies: Development and Pilot Validation.

BACKGROUND: Despite the transformative potential of large language models (LLMs) in health care, the rapid development of these tools has outpaced the...

Bias, fairness, and equity in artificial intelligence systems used in dental imaging: A systematic review.

BACKGROUND: Artificial intelligence (AI) is increasingly used in dental imaging for automated interpretation of dental images and as a clinical decisi...

Finding Holes: Pathologist-Level Performance Using AI for Cribriform Morphology Detection in Prostate Cancer.

BACKGROUND: Cribriform morphology in prostate cancer is a histological feature that indicates poor prognosis and contraindicates active surveillance. ...

Neural Network Machine Learning for Determining Surgical Appropriateness in Head and Neck Subspecialty Referrals.

OBJECTIVE: Timely, accurate referrals to head and neck cancer surgery are essential for survival but are often delayed or misrouted, contributing to l...

Carotid Imaging: Current Concepts and Advanced Imaging.

Carotid atherosclerosis is a major cause of ischemic stroke, historically managed according to luminal stenosis severity. However, stenosis alone fail...

The CAMUS Initiative: A Multiphase, Multicentre International Collaboration to Redefine Risk Stratification, Reporting, and Grading of Surgical Complications in Urology.

Surgical complications remain a major source of preventable morbidity, mortality, and health care expenditure, but existing frameworks such as the Cla...