Latest AI and machine learning research in surveillance for healthcare professionals.
UNLABELLED: To systematically evaluate the accuracy, reliability, and clinical applicability of artificial intelligence and large language models (LLMs) in pediatric orthopedics, comparing their performance against established clinical guidelines and assessing their utility for patient education and clinical decision support. A search of PubMed and ScienceDirect (2020-2025) identified 2624 article...
PURPOSE OF REVIEW: Children with hereditary polyposis syndromes require long-term endoscopic surveillance to reduce risks of gastrointestinal complications: malignancy, bleeding, and obstruction, among others. However, surveillance remains challenging because of variable lesion distribution, subtle morphology, interobserver variability, and the burden of repeated procedures throughout the patient'...
Artificial intelligence-based culture reading tools can potentially accelerate reading, improving reporting consistency in image-based interpretation,...
BACKGROUND: The use of generative artificial intelligence (AI) by pharmaceutical companies and other organizations for preparing patient-facing docume...
Recent advances in machine learning (ML) have accelerated automated analysis of phonocardiogram (PCG) signals, yet prior surveys often narrow their sc...
Computational medicine uses mathematical modelling, high-performance computing, and the availability of large-scale biomedical data to study multiscal...
Robot-assisted surgery has become an important component of modern urologic practice, and the emergence of alternative robotic platforms has accelerat...
Haemoglobinopathies remain among the most common monogenic disorders worldwide, with sickle cell disease (SCD) and various forms of thalassemia posing...
INTRODUCTION: Emergency department overcrowding remains a critical global challenge, and artificial intelligence-driven clinical decision support syst...
Technology is transforming rehabilitative medicine by enhancing accessibility and personalisation. Robot-assisted rehabilitation uses robotic systems ...
Cervical cancer (CC) remains a major global health burden, particularly in low- and middle-income countries (LMICs), where access to timely diagnosis ...
Artificial intelligence medical devices are increasingly deployed in clinical practice, yet practical approaches to post-deployment monitoring remain ...
PSMA PET/CT is increasingly used for prostate cancer staging, restaging, treatment selection, and therapy response assessment. In parallel, several in...
Artificial intelligence (AI) is reshaping healthcare, and radiology is at the forefront for adoption. Increasing demand for imaging, complex protocols...
Intimate partner and sexual violence (IPV/SV) remain pervasive global public health issues. Prevention efforts typically occur at the primary level (p...
INTRODUCTION: Early childhood development (ECD) interventions support children aged 0-5 years, including those typically developing, at risk of delays...
BACKGROUND: Digital surgery technologies, including robotic systems, artificial intelligence (AI) algorithms, augmented reality platforms, and advance...
RATIONALE AND PURPOSE: Periodontitis is a chronic multifactorial inflammatory disease linked to systemic conditions including cardiovascular disease a...
BACKGROUND: Chest X-rays (CXRs) remain the first-line investigation in the lung cancer (LC) diagnostic pathway; however, the time from the original re...
AIMS: To compare the predictive accuracy of machine learning models versus traditional statistical models for predicting and detecting long-term compl...