Objective To examine the associations between the number of days per week achieving various daily step thresholds and all-cause mortality and cardiovascular disease (CVD) incidence in older women.Methods We conducted a prospective cohort study of 13 547 women free of CVD and cancer (mean age 71.8 years). We included participants who wore an ActiGraph GT3X+ accelerometer for… Continue reading Association between frequency of meeting daily step thresholds and all-cause #mortality and #cardiovascular disease in older women
Comparative efficacy and safety of #exercise modalities in #knee #osteoarthritis: systematic review and network meta-analysis
Objective To assess the efficacy and safety of various exercise modalities as therapeutic interventions for managing knee osteoarthritis.Design Systematic review with network meta-analysis.Data sources PubMed, Embase, Cochrane Library, Web of Science, CINAHL, PsycINFO, AMED, PEDro, Scopus, ClinicalTrials.gov, ICTRP, and ClinicalTrialsRegister.eu from database inception to August 2024.Eligibility criteria for selecting studies Randomised controlled trials comparing different… Continue reading Comparative efficacy and safety of #exercise modalities in #knee #osteoarthritis: systematic review and network meta-analysis
MRI markers of #cerebrospinal fluid dynamics predict #dementia and mediate the impact of #cardiovascular risk
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
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