Latest AI and machine learning research in clinical trials for healthcare professionals.
Artificial intelligence (AI), particularly machine learning (ML), is increasingly influencing pharmacovigilance (PV) by improving case triage and signal detection. Several studies have reported encouraging performance, with high F1 scores and alignment with expert assessments, suggesting that AI tools can help prioritize reports and identify potential safety issues faster than manual review. Howev...
BACKGROUND: Tunneled central venous catheters (tCVCs) are essential in hemodialysis when arteriovenous access is not feasible. Their correct positioning is crucial to ensure efficient dialysis and prevent complications such as stenosis and thrombosis. METHODS: This retrospective, non-randomized study reviewed all tCVC placements performed from January 2017 to December 2024 at the Nephrology Depart...
Fungicides are essential agrochemicals for the prevention and control of plant diseases. Counterfeit products, often lacking enough active ingredients...
Barrett esophagus (BE) is the only known histological precursor to esophageal adenocarcinoma (EAC). The incidence of EAC has risen significantly over ...
Medical devices are indispensable in modern healthcare. They enable the prevention, diagnosis, and treatment of diseases while enhancing patient outco...
BACKGROUND: Artificial intelligence (AI) applications for pediatric fracture diagnosis using radiographs have demonstrated growing potential in clinic...
BACKGROUND & AIMS: The multicenter, randomized, control trial was conducted to evaluate whether computer-aided diagnosis (CADx) improves the optical d...
Water exchange and artificial intelligence-based computer-aided detection (CADe) separately improve the adenoma detection rate (ADR) and number of ade...
Embryo implantation centrally involves the maternal immune system's specific acceptance of the semi-allogeneic embryo. Despite advances in assisted re...
WHAT WAS THE EDUCATIONAL CHALLENGE?: The Script Concordance Test (SCT) assesses clinical reasoning by evaluating responses to uncertain scenarios agai...
BACKGROUND: Closure of a patent foramen ovale (PFO) is an effective strategy in the prevention of recurrent stroke after cryptogenic stroke. Residual ...
The role of data-driven analyses is becoming more prominent in football. These have the potential to impact decision-making processes for team perform...
BACKGROUND: Robot-assisted gait training is becoming an effective alternative to therapist-assisted gait training in stroke rehabilitation. This metho...
Artificial intelligence (AI) integrated with robotic systems is transforming oncologic surgery by significantly improving precision, safety, and perso...
The rapid and accurate detection of COVID-19 (coronavirus disease 2019) from normal and pneumonia chest x-ray images is essential for timely diagnosis...
BACKGROUNDS: Traditional methods of teaching history-taking in medical education are limited by scalability and resource intensity. This study aims to...
Proinflammatory peptides (PIPs) play a crucial role in immune response modulation by orchestrating cytokine release and leukocyte recruitment. Accurat...
WHAT WAS THE EDUCATIONAL CHALLENGE?: Health professions educators grapple with profound emotional burdens-technology-related distress, gnawing self-do...
The development of efficient and accurate methods for detecting contamination in agri-foods is critical for ensuring food safety. Terahertz time-domai...
Non-nucleic acid targets (non-NATs), such as heavy metals, toxins, and pesticide residues, pose critical threats to food safety. Although CRISPR/Cas s...