Latest AI and machine learning research in preventive care for healthcare professionals.
BACKGROUND AND STUDY AIMS: Polyp size is crucial for determining colonoscopy surveillance intervals. We present an artificial intelligence (AI) model for colorectal polyp size measurement without a reference object.
BACKGROUND: Biliary atresia (BA) is a rare condition that meets the criteria for neonatal screening. Taiwan province of China led the way in BA screening during the 1990s by introducing a neonatal stool color card (SCC), which proved effective in facilitating early BA diagnosis and improving outcomes. Another commonly studied BA screening approach is serum bilirubin measurement. Several European c...
Oral squamous cell carcinoma (OSCC) remains the most prevalent neoplasm of the head and neck. In recent decades, the incidence and prevalence of OSCC ...
BACKGROUND: The rapid development of COVID-19 vaccines highlighted the transformative potential of artificial intelligence (AI) in modern vaccinology,...
COVID-19 has not only changed the way people live but has also altered the way all organizations operate. The most effective precautionary measure aga...
Studies show that breast screening participants are open to artificial intelligence (AI) in breast screening, but hold concerns about AI performance, ...
Meningococcal meningitis poses a significant public health burden in the meningitis belt region of sub-Saharan Africa. The introduction of the meningo...
Chronic kidney disease is characterised by the progressive loss of kidney function. However, predicting who will progress to kidney failure is difficu...
The COVID-19 vaccine development, manufacturing, transportation, and administration proved an extreme logistics operation of global magnitude. Globa...
Objective: To develop a novel deep learning framework for the automated segmentation of colonic polyps in colonoscopy images, overcoming the limitat...
Depression is a global health concern with a critical need for increased patient screening. Speech technology offers advantages for remote screening...
Breast cancer detection based on pre-trained convolution neural network (CNN) has gained much interest among other conventional computer-based syste...
Colorectal cancer (CRC) remains a leading cause of cancer-related deaths worldwide, with polyp removal being an effective early screening method. Ho...
Intracranial hemorrhage (ICH) refers to the leakage or accumulation of blood within the skull, which occurs due to the rupture of blood vessels in o...
Breast cancer is a heterogeneous disease with different molecular subtypes, clinical behavior, treatment responses as well as survival outcomes. The...
Systematic reviews (SRs) are essential for evidence-based guidelines but are often limited by the time-consuming nature of literature screening. We ...
Polyp segmentation in colonoscopy is crucial for detecting colorectal cancer. However, it is challenging due to variations in the structure, color, ...
Ulcerative Colitis (UC) is an incurable inflammatory bowel disease that leads to ulcers along the large intestine and rectum. The increase in the pr...
Accurate medical image segmentation is essential for effective diagnosis and treatment planning but is often challenged by domain shifts caused by v...
Sudden Cardiac Arrest (SCA) is the leading cause of death among athletes of all age levels worldwide. Current prescreening methods for cardiac risk ...