Latest AI and machine learning research in geriatrics for healthcare professionals.
➢ Romanian orthopaedic practice has demonstrated a growing uptake of digital infrastructure, including the implementation of robotic-assisted surgical workflows and emerging applications of artificial intelligence.➢ Romania ranks among the European countries with the highest hospital bed capacity per capita, supporting the provision of sustained care for elderly patients, including those with frag...
BACKGROUND: Older survivors of cancer face heightened risk of depression and anxiety related to cancer experiences, fear of recurrence, and aging-related difficulties. Conventional mental health monitoring approaches, such as clinical assessments and even electronic patient-reported outcomes, are limited by recall bias, patient burden, and infrequent data collection. Emerging patient-generated hea...
BACKGROUND: Accurate clinical outcome prediction using electronic health records (EHRs) is crucial for patient care and resource allocation. EHRs incl...
With the rapid growth of the use of computed tomography, advances in artificial intelligence enable opportunistic screening, the systematic extraction...
Brain age prediction has gained significant attention due to its strong correlation with neurological and cognitive disorders. The discrepancy between...
BACKGROUND: Estrogen-deficient osteoporosis demands safe and effective therapies. Psoralea corylifolia fruit (PCF), a phytoestrogenic herbal medicine ...
Genotoxin exposure leads to DNA adduct formation, potentially causing mutations if unrepaired. Current DNA adductomics platforms or analytical workflo...
Alzheimer's disease-cancer research (ADCR) has gained increasing attention due to paradoxical epidemiological associations and shared yet oppositely r...
Traditional radiomic studies build texture matrices using single-voxel increments. However, useful information may emerge when radiomic features are i...
INTRODUCTION: Postmenopausal osteoporosis (PMOP) involves bone loss and fracture risk, driven by estrogen deficiency, oxidative stress, immune dysregu...
BACKGROUND: Digital literacy has become a core competence for nursing faculty to adapt to the digital transformation of education, improve teaching qu...
BACKGROUND: Predicting successful heart donation after circulatory death (DCD) remains a challenge. We developed a model to predict progression to cir...
Large language models can synthesize biomedical knowledge, parse vast amounts of data, and generate code, positioning them as promising tools for biom...
Pathological myopia has become one of the leading causes of irreversible blinding eye disease in China, yet its early diagnosis, especially in childre...
BACKGROUND: After total hip arthroplasty (THA), regular follow-up X-rays are required to evaluate the position of the prosthesis. However, measuring t...
BACKGROUND: Greenspace has been associated with lower dementia risk but most studies have used satellite-derived measures that cannot distinguish vege...
OBJECTIVE: This study aimed to clarify the incidence and influencing factors of delirium in ICU patients after brain tumor surgery, construct and vali...
Generative artificial intelligence has undergone rapid development in recent years, and its integration into health research is transforming the ways ...
BACKGROUND: Large language models (LLMs) excel in text-based medical exams, but their ability to integrate multimodal data, critical for ophthalmology...
Opportunistic findings at imaging (iOFs), such as osteoporosis, liver steatosis, or coronary artery calcifications, are clinically relevant abnormalit...