Latest AI and machine learning research in obesity for healthcare professionals.
BACKGROUND: This cross-sectional study aimed to determine attitudes toward the use of artificial intelligence tools, body appreciation, and e-healthy diet literacy (e-HDL) levels among university students, and to analytically evaluate the relationships among these variables. METHODS: This cross-sectional study was conducted among 440 undergraduate university students aged 18-30 years enrolled at G...
BACKGROUND: Patients increasingly rely on Large Language Models (LLMs) for health information, yet the accuracy and readability of AI-generated dental advice remain variable across different clinical domains and Artificial Intelligence (AI) models. This study therefore aimed to compare the readability, accuracy, and comprehensiveness of responses generated by four leading AI models (ChatGPT-4o Min...
BACKGROUND: Geriatric depression is a prevalent mental health condition whose risk profile may vary across age strata. This study examined whether dep...
Primary biliary cholangitis (PBC) is an immune-mediated cholestatic liver disease, and osteoporosis (OP) is a prevalent comorbidity that aggravates th...
BACKGROUND: Major depressive disorder (MDD) and treatment-resistant depression (TRD) are heterogeneous conditions in which key clinical details are sp...
BACKGROUND: Noncommunicable diseases are the leading cause of death worldwide. Cardiovascular and respiratory diseases, cancer, and type 2 diabetes sh...
BACKGROUND: Unplanned hospital readmissions represent a critical operational and financial challenge for health care systems in the United States, wit...
Diabetes is a common chronic disease that needs early diagnosis and proper management to avoid severe complications. While current Artificial Intellig...
BACKGROUND: Oxidative stress underlies both metabolic dysfunction-associated steatotic liver disease (MASLD) and cardiovascular disease (CVD). The oxi...
Sarcopenia is a progressive muscle disorder linked to aging, frailty, and increased healthcare burden. While ultrasound imaging offers a practical and...
Women with a history of gestational diabetes mellitus (GDM) are at elevated risk of developing type 2 diabetes mellitus (T2DM) postpartum. This study ...
This scoping review explores how machine learning (ML) has been applied to stroke research within the Earlier Medicine framework, which promotes proac...
We developed a machine learning model to estimate the personalized risk of cardiovascular (CV) death within 5-years among obese/overweight people with...
A qualitative study is presented aimed to explore how person-tailored stories generated by a storytelling system agent built on a combination of argum...
Prediabetes (PD), a reversible metabolic condition that precedes type 2 diabetes (T2DM), carries a high risk of progression to T2DM, but can be effect...
Postmenopausal females diagnosed with breast cancer who are undergoing aromatase inhibitor (AI) therapy often exhibit metabolic disturbances, which ma...
BACKGROUND: De-escalation after transoral surgery (TOS) for HPV-related oropharyngeal squamous cell carcinoma (OPSCC) requires accurate risk stratific...
BACKGROUND: Viral respiratory tract infections (vRTIs) are a leading cause of paediatric hospitalisation and healthcare utilisation. Existing syndromi...
INTRODUCTION: Obstructive sleep apnea syndrome (OSAS) is a highly prevalent condition, particularly among at-risk populations such as patients with ob...
Insulin resistance (IR) is a significant risk factor for arteriosclerosis. The triglyceride-glucose (TyG) index and its obesity-related derivatives (T...