Latest AI and machine learning research in surveillance for healthcare professionals.
Timely activation of massive hemorrhage protocols (MHP) is critical to prevent exsanguination and im...
Antimicrobial resistance (AMR) and antibiotic resistance (ABR) represent one of the most pressing gl...
OBJECTIVE: To synthesise how studies evaluating AI-based caries detection on bitewing radiographs re...
BACKGROUND: Melanoma is the fifth most common cancer in the USA and the UK, with global incidence on...
Chronic wasting disease (CWD) and scrapie are transmissible spongiform encephalopathy diseases cause...
BACKGROUND: Artificial intelligence (AI)-based conversational tools are rapidly expanding within men...
Respiratory disease outbreaks burden American healthcare systems with over one million hospitalizati...
Chemotherapy-induced cardiotoxicity (CIC) is a leading cause of morbidity in cancer survivors, as co...
Glaesserella parasuis is a respiratory pathogen of swine and the causative agent of Glässer's diseas...
UNLABELLED: Osteoporosis is a major and growing health concern in the Asia-Pacific region, y et it r...
BACKGROUND: Individuals with bipolar disorder (BD) are at increased risk for major adverse cardiovas...
SCOPE: The 2017 European Committee on Antimicrobial Susceptibility Testing (EUCAST) subcommittee rep...
BACKGROUND: Heart failure (HF) decompensation is the leading cause of hospitalisations in developed ...
BACKGROUND: People who are incarcerated face significantly higher health risks than the general popu...
BACKGROUND AND OBJECTIVES: Transparent and complete reporting in scientific papers is important for ...
IMPORTANCE: Soccer is associated with a substantial global injury burden, particularly involving low...
BACKGROUND: Artificial intelligence (AI), including large language models (LLMs), is increasingly in...
BACKGROUND: Artificial intelligence and machine learning (ML) are transforming nutritional epidemiol...
OBJECTIVES: To develop and externally validate an interpretable fusion model combining multi-time-po...
This study aimed to optimise the balance between participant burden and algorithm performance for pr...
AimsDiabetes mellitus is a global health challenge requiring innovative solutions for early diagnosi...