Surveillance

AI-assisted cryo-dose estimation and tissue injury modeling for assessing side effects in MRI-guided prostate cryoablation: a retrospective study.

Focal therapy offers a middle ground between active surveillance and whole-gland treatment for patients with low- and intermediate-risk prostate cancer, aiming to eliminate tumor tissue while preserving surrounding structures. Among available focal therapy approaches, MRI-guided focal cryoablation offers some technical advantages, including real-time monitoring of iceball formation and intrao...

Automated Report Generation in Ophthalmology: Integrating Artificial Intelligence, Multimodal Imaging, and Clinical Data.

Artificial intelligence (AI) has emerged as a transformative force in ophthalmology, enabling automated, accurate, and efficient clinical reporting. This review summarizes recent advances in AI-driven report generation, emphasizing the integration of multimodal imaging and clinical data. Deep learning and natural language processing (NLP) models can synthesize information from diverse sources-incl...

Machine learning estimates for G20 subnational urban GHG emissions from 2000-2020.

Reliable, comparable greenhouse gas (GHG) emissions data at the subnational level remain scarce, despite growing expectations for cities and regions t...

Scurvy, an enduring mimicker and diagnostic dilemma in adults: A review of the 280 relevant published cases in the twenty-first century.

BACKGROUND: Scurvy persists as a significant adult medical condition, frequently overlooked due to its mimicry of more common diseases. This review ai...

A BEACON for Novel Disease Threats: Leveraging Artificial Intelligence for Informal Event-Based Outbreak Surveillance.

Event-based surveillance systems have proven critical for early detection of disease outbreaks by analyzing informal data sources, and the integration...

Insights on Recruitment, Implementation, and Movement Pattern Detection by Exploring the Feasibility of Sensor-Based Insole Technology in Long-Term Care: Mixed Methods Feasibility Study.

BACKGROUND: Sensor-based footwear is increasingly discussed as a promising tool for mobility monitoring and fall-risk assessment, yet its applicabilit...

Framing the Convergence of One Health and Digital Health in the Global South With a Gender-Sensitive Foresight Perspective: Delphi Study Using Latent Semantic Analysis.

BACKGROUND: The convergence of digital health and One Health represents an emergent paradigm in global health governance. While widely discussed in hi...

Global research status in the treatment of glaucoma: a systematic bibliometric analysis.

AIM: To present an overview of the research on global glaucoma treatment in the last decade in terms of publication year, journals, countries/regions,...

Implantable bladder sensors for real-time urodynamics: A systematic review of preclinical and clinical evidence in neuro-urology.

BACKGROUND: Catheter-based urodynamic studies remain the standard for diagnosing lower urinary tract dysfunction, but are limited by discomfort, infec...

Healthcare practitioner involvement in data-driven clinical decision support development and evaluation: Critical narrative review of recommendations.

OBJECTIVE: While healthcare practitioner (HCP) involvement is widely acknowledged as essential for the development and evaluation of trustworthy data-...

Opportunities and challenges in leveraging multiomics and biobanks for vision science.

PURPOSE OF REVIEW: Emerging biobank resources allow large-scale integration of eye-specific phenotypes with clinical, genomic, and multiomic data. Thi...

Assessing the Impact of Sociodemographic Factors on Artificial Intelligence Models in Predicting Dementia: Retrospective Cohort Study.

BACKGROUND: Artificial intelligence (AI) is increasingly applied to health care, yet concerns about fairness persist, particularly in relation to soci...

Application of AI Models for Preventing Surgical Complications: Scoping Review of Clinical Readiness and Barriers to Implementation.

BACKGROUND: The impact of surgical complications is substantial and multifaceted, affecting patients and their families, surgeons, and health care sys...

A dataset of harmonized global air quality monitoring metadata.

This study addresses the gap in air quality monitoring metadata reporting by building a classifier for air quality station types and area characterist...

Machine learning-based cfDNA fragmentation profiling using automated capillary electrophoresis for early detection of hepatocellular carcinoma.

BACKGROUND: Early detection of hepatocellular carcinoma (HCC) remains a significant clinical challenge due to the limited sensitivity of current surve...

Assumption-Agnostic Deep Learning Framework for Holistic Clinical Trial Monitoring.

Recently developed machine learning-enabled approaches to quality tolerance limit (QTL) surveillance offer efficiencies over labour-intensive source d...

Radiomics for early detection of pancreatic cancer: a systematic review and meta-analysis.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is one of the lethal malignancies, in which accurate and faster detection is required in high-risk...

Comparable survival after lobectomy and total thyroidectomy for T3b differentiated thyroid carcinoma: A population-based study.

BACKGROUND: The 2025 American Thyroid Association guidelines recommend total thyroidectomy for all T3b differentiated thyroid carcinoma (DTC). However...

Prediction of SARS-CoV-2 transmission dynamics based on population-level cycle threshold values: An epidemic transmission and machine learning modeling study.

Polymerase chain reaction (PCR) cycle threshold (Ct) values can be used to estimate the viral burden of Severe Acute Respiratory Syndrome Coronavirus ...

Approach to Optimizing Tranexamic Acid Use in Trauma: Potential Utilization of Trauma Phenotypes.

Tranexamic acid (TXA) reduces mortality in patients with trauma; however, optimal patient selection remains unclear. This study aimed to identify trau...