Latest AI and machine learning research in surveillance for healthcare professionals.
BACKGROUND: Acute kidney injury (AKI) is a common complication following pediatric cardiac surgery, frequently leading to poor outcomes and even death in severe cases. Early prevention remains the primary intervention strategy. Studies have developed prediction models to identify at-risk children at an early stage. This study systematically evaluate existing AKI prediction models to support their ...
Postoperative recurrence (POR) is a major challenge in the long-term management of Crohn's disease (CD), affecting up to 70% of patients within the first year after surgical resection. The multifactorial pathogenesis of POR complicates prevention, while evolving surgical techniques and different anastomotic configurations further hinder accurate prediction and monitoring.Current surveillance strat...
Diagnostic stewardship-performing the right test for the right patient at the right time-improves diagnostic accuracy and reduces healthcare resource ...
BACKGROUND: Global rehabilitation needs far exceed capacity, and artificial intelligence (AI) is proposed to extend access, personalise therapy, and s...
The convergence of Big Data and Artificial Intelligence (AI) is redefining animal nutrition by enabling precision feeding systems that are individuali...
Single-cell mechanical profiling of deformations has become a promising method of identifying a functional biomarker in patients with blood cancers. B...
Real-world evidence (RWE) has emerged as an essential complement to randomized controlled trial data, providing insights into the effectiveness, safet...
BACKGROUND: There is a recent surge in interest in the application of artificial intelligence (AI) in prostate cancer (PCa). When evaluating PSMA PET ...
BACKGROUND: Paediatric content in undergraduate nursing education is typically delivered through lectures, simulation, and clinical placements. Constr...
Computational pathology datasets are commonly described using inconsistent and locally defined terminology, often conflating biological units (patient...
BACKGROUND: Periprosthetic joint infection (PJI) remains one of the most serious complications after joint arthroplasty, and accurate diagnosis contin...
This study investigated the antimicrobial resistance (AMR) profile of Salmonella enterica (n = 446) of poultry origin (n = 1020) collected from West B...
BACKGROUND: With the aging of the global population, preventing the onset of mobility limitations is considered a worldwide public health priority. OB...
The rapid integration of generative artificial intelligence (Gen AI) into academic writing has outpaced the establishment of consistent norms for resp...
PURPOSE: Oral leukoplakia (OL), the most common oral potentially malignant disorder (OPMD), poses a significant risk for transformation to oral squamo...
BACKGROUND: Artificial intelligence (AI) is rapidly transforming surgical practice, with applications spanning preoperative planning, intraoperative g...
BACKGROUND: Prognostic evaluation of pediatric hepatoblastoma (HB) remains challenging due to the low accuracy of traditional risk stratification mode...
BACKGROUND: Skin infections have been described as the primary cause for veterinary small animal practice visits, frequently requiring topical and sys...
OBJECTIVES: The automation of medical report generation using large language models (LLMs) could significantly reduce physicians' documentation burden...
PURPOSE OF REVIEW: Multidrug-resistant Gram-negative bloodstream infections (MDR-GNBSI) are increasingly frequent in immunocompromised hosts, particul...