Surveillance

Clinical Study on the Prevention of High-Risk Pulmonary Nodule Progression With Yifei Sanjie Pill: Protocol for a Multicenter Randomized Controlled Trial.

BACKGROUND: High-risk subsolid pulmonary nodules, especially mixed ground-glass nodules, can represe...

Insecticide Resistance Beyond Genetics: Integrating Microbiomes, Machine Learning, and Emerging Molecular Technologies.

Insecticide resistance has become a serious and escalating threat to global agriculture, undermining...

Enhanced deep learning model for anomaly object detection and tracking from surveillance videos.

Video anomaly detection plays a crucial role in video surveillance, which identifies suspicious intr...

Mapping the Global Research Landscape of Traumatic Dental Injuries in the Primary Dentition: A Bibliometric Analysis.

BACKGROUND/AIM: Traumatic dental injury (TDI) in the primary dentition represents a significant glob...

Integrating human and artificial intelligence for robust postmarketing safety surveillance systems: reflections from the FDA Sentinel Innovation Center.

OBJECTIVES: To describe considerations for integration of human and artificial intelligence for crea...

The Role of Artificial Intelligence in Equine Colic: A Scoping Review of Diagnostic, Prognostic, and Decision-Support Applications.

Equine colic remains one of the leading causes of mortality in horses, with timely diagnosis and acc...

Machine learning-based prognosis and early death prediction in de novo stage IV breast cancer patients with bone metastasis: a SEER database and multicentre retrospective study.

Bone is the most common site of distant metastasis in breast cancer (BC), and the development of bon...

Tree-based machine learning models recover rule-based flare labels from virtual symptom diaries in pediatric Behçet's disease: an in silico proof-of-concept study.

Behçet's disease (BD) in childhood is characterised by recurrent inflammatory flares that can result...

Transforming Pulmonary Arterial Hypertension: Key Milestones and Future Perspectives.

Pulmonary arterial hypertension (PAH) is a rare, progressive disease of the precapillary pulmonary a...

[Transformation of Epidemiology in the Age of Artificial Intelligence].

Epidemiology has been fundamental for analyzing health problems and supporting decision-making in he...

An AI-Assisted Tool to Predict Continuous Glucose Monitor Adherence in Children With Type 1 Diabetes in Oman: Protocol for a Multiphase Mixed Methods Translational Study.

BACKGROUND: Type 1 diabetes mellitus (T1DM) in children requires sustained self-management to achiev...

SymBOL: A General-Purpose Symbolic Learner for Scientific Discovery Using Bayesian Optimization-Enhanced Large Language Models.

Symbolic Regression (SR) is a core challenge in both physics and artificial intelligence, aiming to ...

Author Correction: The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence.

Prediction of Exercise Intolerance in the Recovery Period After Cardiovascular Surgery Using Perioperative Clinical Parameters.

OBJECTIVE: To develop and validate a machine learning model for predicting reduced exercise capacity...

[Chinese guideline for the diagnosis and treatment of hospital-acquired pneumonia and ventilator-associated pneumonia in adults (2026 edition): protocol].

This document serves as the protocol for the development of the Chinese Guideline for the Diagnosis ...

Disparities in severe infection risk associated with systemic lupus erythematosus: evidence from a causal forest analysis.

OBJECTIVES: Severe infections are a primary cause of morbidity and premature mortality in patients w...

A systematic map of generative AI guidelines and reporting in ecology and evolutionary biology: towards the framework of AI disclosure for Improved Transparency (AIdIT).

Generative artificial intelligence (AI) is rapidly becoming embedded across scientific workflows, ye...

Technology-enabled telerehabilitation for Parkinson's disease: a scoping review of digital rehabilitation systems, delivery architectures, and implementation challenges.

INTRODUCTION: Digital technologies are increasingly integrated into neurorehabilitation programs for...

Applications of traditional machine learning and deep learning algorithms in obesity prediction or classification: a systematic review of comparative performance.

This systematic review evaluated traditional machine learning (TML) and deep learning (DL) approache...

Deep learning-based malignancy probability estimation of pulmonary nodules in PET/CT imaging.

OBJECTIVE: The current BTS guidelines recommend evaluation of suspicious pulmonary nodules using [18...

Scaling AI-enabled imaging-based screening: lessons from reporting for the NHS England lung cancer screening programme.

Lung cancer is the leading cause of cancer death globally, and low-dose computed tomography (LDCT) s...