Latest AI and machine learning research in preventive care for healthcare professionals.
Conventional prediction models incorporating genetic and clinical factors including breast density underperform in non-European populations. We investigated an artificial intelligence-derived mammogram risk score (MRS), a summary of texture features that captures intrinsic breast-tissue characteristics-the substrate for cancer development. This study leveraged data from two North American screenin...
BACKGROUND: Tobacco smoking is a leading cause for lung cancer, even for non-smokers. Assessing exposure, particularly to passive or secondhand smoke, is challenging due to reliance on self-reporting and the invasiveness of traditional biomarker tests. Exhaled breath analysis via Proton Transfer Reaction Time-of-Flight Mass Spectrometry (PTR-TOF-MS) provides a non-invasive approach for detecting r...
This scoping review examines the existing literature on the application of artificial intelligence (AI) in screening for eye diseases, with a focus on...
PURPOSE: Periodontitis is a common chronic disease associated with systemic conditions such as diabetes and cardiovascular disease. Diagnosis typicall...
PURPOSE: Large language models (LLMs) are a form of artificial intelligence (AI) that have emerged as potential tools to augment systematic review wor...
Persistent viruses like Influenza, HIV, and Coronavirus exemplify the challenge of viral escape, significantly hindering the development of long-lasti...
Early detection of tumors constitutes a cornerstone of cancer prevention and control. Medical assessments alongside emerging screening modalities prov...
Breast cancer is highly heterogeneous,and different molecular subtypes exhibit significant variations in their response to immunotherapy.While signifi...
Artificial Intelligence (AI) has become a cornerstone of modern drug discovery. Yet, its widespread adoption is often hindered by the steep learning c...
BACKGROUND: Systemic lupus erythematosus (SLE) patients face a 5-tenfold increased risk of atherosclerosis (AS), with subclinical lesions often progre...
BACKGROUND: Dyslipidemia is a multifactorial and complex condition that warrants investigation through advanced analytical approaches such as machine ...
Synonymous mutations, long regarded as evolutionarily neutral, are increasingly recognized as important determinants of viral evolution and adaptation...
With the rapid advancement of the internet, social media has become an integral part of human life. It provides a soothing platform for people to shar...
BACKGROUND: Colorectal cancer (CRC) leads to heavy disease and economic burdens globally. Early screening such as colonoscopy has been demonstrated to...
PURPOSE: Nuclear emergency medical rescue is a critical component of the nuclear emergency response system, playing a vital role in safeguarding publi...
BACKGROUND: Conventional age-based breast cancer screening ignores substantial inter-individual risk variation, contributing to overdiagnosis, false p...
INTRODUCTION: Current CALR mutation screening in myeloproliferative neoplasms (MPNs) faces a trade-off between coverage and cost: allele-specific qPCR...
Pathologic diagnosis is a critical phase in deciding the optimal treatment procedure for dealing with colorectal cancer (CRC). Colonic polyps, precurs...
OBJECTIVE: To develop an efficient and domain-adapted system to process colonoscopy and pathology reports using knowledge distillation techniques. PAT...
UNLABELLED: Osteoporosis is a major and growing health concern in the Asia-Pacific region, y et it remains widely underdiagnosed and undertreated due ...