INTRODUCTIONImpaired cerebrospinal fluid (CSF) dynamics may contribute to dementia, but human evidence is limited. We examined associations between magnetic resonance imaging–based proxies of CSF dynamics and incident dementia, and whether CSF dysfunction mediates links between cardiovascular risk and dementia.METHODSUsing the UK Biobank, we measured CSF dynamics: perivascular space (PVS) volume, diffusion tensor image analysis along… Continue reading MRI markers of #cerebrospinal fluid dynamics predict #dementia and mediate the impact of #cardiovascular risk
AI in Hand #Surgery: Assessing Large Language Models in the Classification and Management of #Hand Injuries
AbstractBackground: OpenAI's ChatGPT (San Francisco, CA, USA) and Google's Gemini (Mountain View, CA, USA) are two large language models that show promise in improving and expediting medical decision making in hand surgery. Evaluating the applications of these models within the field of hand surgery is warranted. This study aims to evaluate ChatGPT-4 and Gemini in… Continue reading AI in Hand #Surgery: Assessing Large Language Models in the Classification and Management of #Hand Injuries
[Thermo- #electroacupuncture at #yaosanzhen for chronic #lumbar #muscle strain of cold dampness: a randomized controlled trial]
Objective: To compare the clinical efficacy between thermo-electroacupuncture at yaosanzhen and oral celecoxib in the treatment of chronic lumbar muscle strain with cold dampness.Methods: A total of 80 patients with chronic lumbar muscle strain of cold dampness were randomly divided into an observation group (40 cases, 1 case dropped out) and a control group (40… Continue reading [Thermo- #electroacupuncture at #yaosanzhen for chronic #lumbar #muscle strain of cold dampness: a randomized controlled trial]
Comparative efficacy of #Tai Chi versus #balance training on functional performance and #postural control during sit and stand transitions in individuals with #knee #osteoarthritis: A randomized trial
Objectives: This study evaluates the efficacy of Tai Chi versus balance training on functional performance and postural control during sit and stand transitions in individuals with knee osteoarthritis.Design: Single-blind randomized trial.Methods: Sixty-nine patients with knee osteoarthritis were assigned to Tai Chi (n = 35) or balance training (n = 34) for 12 weeks. Assessments were… Continue reading Comparative efficacy of #Tai Chi versus #balance training on functional performance and #postural control during sit and stand transitions in individuals with #knee #osteoarthritis: A randomized trial
The Future of #Artificial #Intelligence in Medical Education and Continuing #Medical Education
In this article, we explore the transformative potential of artificial intelligence (AI) in medical education and continuing medical education. We discuss the rapid evolution of AI technology, particularly generative AI and large language models, and their implications for teaching and learning. We emphasize the importance of AI literacy, ethical considerations, and evidence-based approaches to integrating… Continue reading The Future of #Artificial #Intelligence in Medical Education and Continuing #Medical Education
#Artificial #Intelligence and #Machine #Learning Applications in #Liver Disease
AbstractArtificial intelligence and machine learning are transforming hepatology by integrating clinical, laboratory, imaging, and wearable data for earlier diagnosis, risk prediction, and patient management. These technologies enable personalized care and noninvasive monitoring across metabolic dysfunction-associated steatotic liver disease, cirrhosis, hepatitis C, liver transplantation, and hepatocellular carcinoma. Ongoing advances in digital health and interpretability will enhance… Continue reading #Artificial #Intelligence and #Machine #Learning Applications in #Liver Disease
#Artificial #intelligence in #myeloid malignancies: Clinical applications of machine learning in myelodysplastic syndromes and acute myeloid #Leukemia
This review summarizes applications of machine learning (ML) in acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS), spanning diagnosis, prognostication, treatment prediction, and research tools. In diagnostics, deep learning applied to bone marrow smears, peripheral blood films, and flow cytometry has shown high sensitivity and specificity, outperforming conventional methods. ML-driven unsupervised clustering and consensus classification… Continue reading #Artificial #intelligence in #myeloid malignancies: Clinical applications of machine learning in myelodysplastic syndromes and acute myeloid #Leukemia
Automatic #robotic doppler #sonography of leg #arteries
PurposeRobot-assisted systems offer an opportunity to support the diagnostic and therapeutic treatment of vascular diseases to reduce radiation exposure and support the limited medical staff in vascular medicine. In the diagnosis and follow-up care of vascular pathologies, Doppler ultrasound has become the preferred diagnostic tool. The study presents a robotic system for automatic Doppler ultrasound… Continue reading Automatic #robotic doppler #sonography of leg #arteries
Timing and combinations of #cardiovascular diseases in survivors of childhood, adolescent, and young adulthood #cancer
Children, adolescents, and young adults with cancer (referred to as CAYAs) are at risk of long-term health complications, with cardiovascular disease (CVD) being a major concern. In addition, sociodemographic characteristics and traditional cardiovascular risk factors may also contribute to disparities in outcomes compared with those of the general population.The aim of this study was to… Continue reading Timing and combinations of #cardiovascular diseases in survivors of childhood, adolescent, and young adulthood #cancer
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