AIMC Topic: Male

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MEFFNet: Forecasting Myoelectric Indices of Muscle Fatigue in Healthy and Post-Stroke During Voluntary and FES-Induced Dynamic Contractions.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 26, 2024
Myoelectric indices forecasting is important for muscle fatigue monitoring in wearable technologies, adaptive control of assistive devices like exoskeletons and prostheses, functional electrical stimulation (FES)-based Neuroprostheses, and more. Non-...
Muscle Contraction Humans Muscle Fatigue Neural Networks, Computer Electric Stimulation Therapy Algorithms Stroke Rehabilitation Forecasting Elbow Joint Male Electromyography Female Middle Aged Stroke Aged Deep Learning Healthy Volunteers Young Adult Muscle, Skeletal Adult Elbow
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Reduced response to regadenoson with increased weight: An artificial intelligence-based quantitative myocardial perfusion study.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jul 25, 2024
BACKGROUND: There is conflicting evidence regarding the response to a fixed dose of regadenoson in patients with high body weight. The aim of this study was to evaluate the effectiveness of regadenoson in patients with varying body weights using nove...
Adenosine A2 Receptor Agonists Case-Control Studies Risk Factors Logistic Models Purines Aged Obesity Male Coronary Circulation Predictive Value of Tests Myocardial Perfusion Imaging Middle Aged Coronary Artery Disease Adenosine Humans Body Weight Image Interpretation, Computer-Assisted Artificial Intelligence Pyrazoles Algorithms Vasodilator Agents Female
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Deep Learning Model Using Stool Pictures for Predicting Endoscopic Mucosal Inflammation in Patients With Ulcerative Colitis.

The American journal of gastroenterology Jul 25, 2024
INTRODUCTION: Stool characteristics may change depending on the endoscopic activity of ulcerative colitis (UC). We developed a deep learning model using stool photographs of patients with UC (DLSUC) to predict endoscopic mucosal inflammation.
Aged Adult Male Middle Aged Colonoscopy Humans Prospective Studies Female Colitis, Ulcerative Intestinal Mucosa Predictive Value of Tests Leukocyte L1 Antigen Complex Photography Severity of Illness Index Deep Learning Feces ROC Curve
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Identification of and as novel diagnostic biomarkers for latent tuberculosis infection using machine learning strategies and experimental verification.

Annals of medicine Jul 25, 2024
BACKGROUND: Current diagnostic methods cannot effectively distinguish between latent tuberculosis infection (LTBI) and active tuberculosis (ATB). This study aims to explore novel non-invasive diagnostic biomarkers for LTBI and to elucidate possible m...
ROC Curve Latent Tuberculosis Female Adult Male Gene Expression Profiling Humans Machine Learning Biomarkers
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Machine learning models including preoperative and postoperative albumin-bilirubin score: short-term outcomes among patients with hepatocellular carcinoma.

HPB : the official journal of the International Hepato Pancreato Biliary Association Jul 25, 2024
BACKGROUND: We sought to assess the impact of various perioperative factors on the risk of severe complications and post-surgical mortality using a novel maching learning technique.
Bilirubin Hepatectomy Serum Albumin, Human Serum Albumin Middle Aged Retrospective Studies Humans Risk Assessment Hospital Mortality Female Machine Learning Postoperative Complications Risk Factors Liver Neoplasms Databases, Factual Time Factors Aged Carcinoma, Hepatocellular Male Treatment Outcome Predictive Value of Tests
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Integrating multi-task and cost-sensitive learning for predicting mortality risk of chronic diseases in the elderly using real-world data.

International journal of medical informatics Jul 25, 2024
BACKGROUND AND OBJECTIVE: Real-world data encompass population diversity, enabling insights into chronic disease mortality risk among the elderly. Deep learning excels on large datasets, offering promise for real-world data. However, current models f...
Male Risk Assessment Comorbidity Deep Learning China Chronic Disease Humans Neural Networks, Computer Female Aged Aged, 80 and over
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Influence of believed AI involvement on the perception of digital medical advice.

Nature medicine Jul 25, 2024
Large language models offer novel opportunities to seek digital medical advice. While previous research primarily addressed the performance of such artificial intelligence (AI)-based tools, public perception of these advancements received little atte...
Humans Artificial Intelligence Female Adolescent Perception Young Adult Adult Male Middle Aged
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Artificial intelligence-assisted grading for tear trough deformity.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS Jul 25, 2024
BACKGROUND: Various classification systems for tear trough deformity (TTD) have been published; however, their complexity can pose challenges in clinical use, especially for less experienced surgeons. It is believed that artificial intelligence (AI) ...
Artificial Intelligence Female Adult Sensitivity and Specificity Male Middle Aged Deep Learning Smartphone Photography Humans Eyelids
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Development and Validation of an Explainable Machine Learning Model for Identification of Hyper-Functioning Parathyroid Glands from High-Frequency Ultrasonographic Images.

Ultrasound in medicine & biology Jul 25, 2024
OBJECTIVE: To develop and validate a machine learning (ML) model based on high-frequency ultrasound (HFUS) images with the aim to identify the functional status of parathyroid glands (PTGs) in secondary hyper-parathyroidism (SHPT) patients.
Humans Machine Learning Computer Simulation Tomography, Emission-Computed, Single-Photon Parathyroid Diseases Ultrasonography Models, Statistical Predictive Value of Tests Random Forest Female Parathyroid Glands Adult Male Middle Aged
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Automatic robotic doppler sonography of leg arteries.

International journal of computer assisted radiology and surgery Jul 25, 2024
PURPOSE: Robot-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...
Leg Humans Male Imaging, Three-Dimensional Robotics Equipment Design Ultrasonography, Doppler Femoral Artery
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