Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND: Cardiovascular disease prevention relies on accurate risk assessment; however, existing scores are imprecise. Routine imaging may be opportunistically used to predict risk. OBJECTIVES: The authors tested whether computed tomography (CT)-derived cardiac and aortic structure predicts major adverse cardiac events (MACE) beyond standard-of-care scores. METHODS: The authors developed a leas...
Early identification of malignant ovarian tumors is critical for informing treatment decisions and enhancing patients' quality of life. As the third most prevalent gynecologic cancer globally, ovarian cancer remains challenging to diagnose due to the high cost, limited accessibility, and radiation exposure associated with current screening techniques. This study integrates surface-enhanced Raman s...
BACKGROUND: CRISPR-based genetic screening has become a central methodology in functional genomics, enabling systematic interrogation of gene function...
BACKGROUND: Health Technology Assessment (HTA) is a cornerstone of evidence for informing health policy and resource allocation globally. Rapid advanc...
Periodontology is entering a transformative era driven by advances in diagnostics, therapeutics, and digital integration. Emerging technologies and co...
A key challenge in medical decision making is learning treatment policies for patients with limited observational data. This challenge is particularly...
BACKGROUND: Diabetes is a chronic disease with a high global prevalence, increasing from 200 million people in 1990 to 830 million in 2022, with a hig...
BACKGROUND: Nephrolithiasis affects approximately 15% of the population and often remains undetected in asymptomatic individuals. Current diagnostic a...
BACKGROUND: The aging trend of people living with HIV or AIDS in China is increasing day by day. Frailty is a common condition among older adults livi...
BACKGROUND: The exponential growth of medical data and advancements in artificial intelligence (AI) have accelerated the development of data-driven he...
Traditional subjective measures are limited in the insight they provide into underlying behavioral differences associated with autism and, accordingly...
BACKGROUND: Pulmonary arterial hypertension (PAH) is a lethal vascular disorder characterized by irreversible remodeling of the pulmonary arteries, bu...
BACKGROUND: Accurately identifying older adults with chronic heart failure (CHF) at high risk of cognitive frailty is crucial for timely preventive in...
PURPOSE: To discover novel systemic associations that may lead to idiopathic epiretinal membrane (iERM) using interpretable machine learning models. D...
BACKGROUND: In Japan, secondary screening for developmental hip dysplasia has expanded. However, the capacity of screening programs has outpaced the a...
AIMS: The combined assessment of multiple abdominal imaging traits in relation to type 2 diabetes remains incompletely characterised. The study examin...
BACKGROUND: Diabetes distress is common in patients with type 1 diabetes mellitus (T1DM). The aim of this study was to construct and validate predicti...
An LLM-based AI tool significantly improved identification of potentially eligible patients and screening efficiency for IBD clinical trials, outperfo...
BACKGROUND: With prolonged waiting times for deceased-donor kidney transplantation (DDKT) in Japan, objective data on frailty among wait-listed patien...