Latest AI and machine learning research in devices and vaccines for healthcare professionals.
Oropharyngeal cancer (OPC) is increasingly driven by human papillomavirus (HPV), particularly HPV16,...
BACKGROUND & AIMS: Malnutrition affects hospital care and disease treatment. The evaluation of food ...
BACKGROUND AND OBJECTIVE: Heart disease is still the top driver of death worldwide, and developing a...
BACKGROUND: Biliary stent placement during endoscopic retrograde cholangiopancreatography (ERCP) is ...
OBJECTIVES: To evaluate the performance of Claude 3.7 Sonnet in automating data extraction for syste...
Burn inhalation injury (BII) increases mortality and morbidity in burns patients. Accurate bronchosc...
AIM: To develop and validate models that use electronic health record (EHR) data to predict diabetic...
Digital twin technology, which enables the creation of patient-specific virtual models, is increasin...
OBJECTIVES: This in vitro study evaluated the influence of artificial intelligence-driven occlusal c...
OBJECTIVE: Maintaining robust surveillance programs for abdominal aortic aneurysms (AAAs) is importa...
PURPOSE: To synthesise the paradigm shift towards precision medicine in orthopaedics, where individu...
BACKGROUND: Identifying the brand of reverse shoulder arthroplasty (rTSA) implanted is key in the po...
With the exponential growth of information data, there is an urgent demand for emerging computing ar...
BACKGROUND CONTEXT: As the population ages, rates of lumbar spine disease have risen, and lumbar fus...
BACKGROUND: The automated segmentation of maxillary and mandibular bones in cone-beam computed tomog...
Early diagnosis of Alzheimer's disease (AD) requires blood biomarker tests sensitive to femtogram/mL...
OBJECTIVES: The aim of this study was to develop a machine-learning model to assist in treatment dec...
Chronic kidney disease (CKD) is an advancing disease which significantly impacts global healthcare, ...
PURPOSE: Stereotactic radiosurgery (SRS) is a nonsurgical method for treating brain abnormalities an...
PURPOSE: This systematic review evaluates the effectiveness of artificial intelligence (AI) models i...
OBJECTIVE: This study aimed to evaluate machine learning models for predicting the recurrence and ma...