Latest AI and machine learning research in menopause for healthcare professionals.
Sarcoidosis-related uveitis is the most common manifestation of ocular sarcoidosis. It can occur at any age but preferentially affects adults aged 30 to 60 years, with a female predominance, especially in forms with late onset. Suggestive semiological features are: granulomatous anterior uveitis defined by thick retro-descemetal precipitates (so-called "mutton-fat" keratic precipitates) or iris no...
This paper presents a field-based performance evaluation of the rooftop photovoltaic (PV) systems operating under hot-arid coastal industrial environmental conditions. Two identical 5-kilowatt (kW) grid-connected PV systems were installed and commissioned for continuous monitoring of system parameters using a high-resolution data-acquisition system to quantify the effects of soiling, humidity, tem...
INTRODUCTION: The scarcity of donor organs necessitates the development of refined prognostic tools to optimize candidate selection and survival outco...
BackgroundPosttraumatic stress disorder (PTSD) is common yet frequently underdiagnosed, in part due to barriers to systematic screening and the relian...
BACKGROUND: Endometriosis is a chronic, estrogen-dependent inflammatory disorder characterized by the ectopic implantation of endometrial-like tissue....
INTRODUCTION: On average, women now spend more than one-third of their lives in the post-reproductive period, yet menopause care across Europe remains...
BACKGROUND: Artificial intelligence (AI) is increasingly encountered in clinical care and medical education, but medical students' attitudes, percepti...
Endometriosis is one of the most common causes of chronic pelvic or lower-abdominal pain, yet mechanisms, predictors, and patient-centered treatment p...
UNLABELLED: This review evaluates the sensitivity, specificity, and predictive values of seven osteoporosis screening tools in populations such as pos...
Osteoporosis is a chronic skeletal disorder characterized by progressive bone mineral density (BMD) loss and structural deterioration, significantly i...
OBJECTIVE: To develop and internally validate an interpretable prognostic model for cumulative clinical pregnancy in women with diminished ovarian res...
OBJECTIVES: Rheumatoid arthritis (RA) significantly increases the risk of osteoporosis (OP) and fractures, yet dual-energy X-ray absorptiometry (DXA) ...
Estrogen receptor 1 (ESR1) is an established oncogenic transcription factor in breast and endometrial cancer; however, more is known about the mechani...
The future of pediatric gene therapy is being fundamentally reshaped by the convergence of CRISPR-Cas9 genome editing, artificial intelligence (AI), a...
Studies of ovarian health and aging rely on estimates of the ovarian reserve, i.e. the number of healthy ovarian follicles. We present a machine learn...
Analytical tools may revolutionize healthcare by enabling accessible, rapid, and decentralized testing. Wearable (bio)sensors, in particular, provide ...
OBJECTIVES: To evaluate an AI tool for opportunistic osteoporosis screening using chest radiographs (CXRs), focusing on its diagnostic accuracy agains...
OBJECTIVES: Great saphenous vein (GSV) incompetence is common, but numerous treatment options complicate patient-treatment matching. This narrative re...
BACKGROUND: Otitis externa (OE) is common in dogs, yet accurate otoscopic diagnosis remains challenging. Artificial intelligence (AI) may augment clin...
Our goal was to improve growth monitoring in children by developing and evaluating an artificial intelligence (AI) algorithm that can detect abnormal ...