Latest AI and machine learning research in surveillance for healthcare professionals.
INTRODUCTION: Antimicrobial resistance (AMR) represents one of the greatest global public health challenges and is intensified by inappropriate antimicrobial use, mobility, and limited availability of novel therapeutic options. Digital health technologies have emerged as strategies to improve surveillance, prevention, clinical decision-making, and antimicrobial stewardship in hospital settings. AR...
PURPOSE: To evaluate and compare the clinical accuracy, reliability, comprehensiveness and readability of three prominent Large Language Models (LLMs) (ChatGPT, Gemini, and Copilot) in the management of pediatric ureteropelvic junction obstruction. METHODS: A total of 125 unique clinical scenarios representing various stages and complexities of pediatric ureteropelvic junction obstruction(UPJO) we...
The large amount of high-throughput sequencing data generated in ecology, medicine, and pharmacology has increased the complexity of data analysis and...
BACKGROUND: Video-algorithmic patient monitoring (VAPM) combines remote, noncontact sensors and algorithmic analysis and is increasingly trialed in ac...
BACKGROUND: Brain metastases (BM) are the most common intracranial tumors in adults, and stereotactic radiosurgery (SRS) has become a mainstay of mana...
BACKGROUND: There has been an increase in the availability and use of artificial intelligence (AI) across many professional domains, and there are tra...
The rapid spread of acute respiratory infections (ARIs) poses a major challenge to global public health, yet current surveillance systems relying on s...
Hepatocellular carcinoma (HCC) exhibits substantial interpatient heterogeneity, leading to markedly variable outcomes and survival even among patients...
BACKGROUND: Pediatric rare diseases are highly heterogeneous and are frequently associated with missed or delayed diagnosis, creating substantial burd...
Rare breast cancers represent a clinically important but underrepresented group of malignancies. In this Perspective, rare breast cancers are consider...
BACKGROUND: A persistent translational gap separates the high research-benchmark performance of artificial intelligence (AI) and advanced imaging in b...
BACKGROUND: Cardiovascular disease (CVD) is a leading cause of death worldwide, making early risk prediction essential for improving outcomes. Althoug...
BACKGROUND: Avoidable prostate biopsies remain a persistent weakness of prostate specific antigen (PSA)- and imaging-led prostate cancer (PCa) diagnos...
Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality worldwide, and the burden is particularly severe in low-income and ...
BACKGROUND: Coronary artery lesions (CAL) complicating Kawasaki disease (KD) are a central concern affecting the long-term cardiovascular health of af...
Artificial intelligence (AI) is increasingly being investigated and, in selected clinical settings, implemented to support diagnosis, triage, and work...
BACKGROUND: With growing interest in ART, fertility preservation, and postmenopausal health of women, reproductive medicine is increasingly focused on...
Fine-needle aspiration biopsy (FNAB) remains the cornerstone of preoperative evaluation of thyroid nodules and represents one of the most enduring and...
Gait classification and anomaly detection are non-intrusive approaches that can support healthcare surveillance and clinical gait analysis by identify...
Malaria affects almost 263 million people worldwide, most of whom live in sub-Saharan countries. In a strategy to reduce malaria-related mortality and...