AIMC Topic: Middle Aged

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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-...
Forecasting Female Aged Young Adult Muscle Fatigue Adult Electric Stimulation Therapy Stroke Rehabilitation Humans Neural Networks, Computer Algorithms Elbow Joint Electromyography Stroke Healthy Volunteers Muscle Contraction Male Middle Aged Deep Learning Muscle, Skeletal 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 Adenosine A2 Receptor Agonists Obesity Humans Aged Predictive Value of Tests Pyrazoles Artificial Intelligence Male Coronary Artery Disease Algorithms Vasodilator Agents Middle Aged Body Weight Female Purines Case-Control Studies Image Interpretation, Computer-Assisted Risk Factors Coronary Circulation Logistic Models Myocardial Perfusion Imaging
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Impact of Downsampling Size and Interpretation Methods on Diagnostic Accuracy in Deep Learning Model for Breast Cancer Using Digital Breast Tomosynthesis Images.

The Tohoku journal of experimental medicine Jul 25, 2024
While deep learning (DL) models have shown promise in breast cancer diagnosis using digital breast tomosynthesis (DBT) images, the impact of varying matrix sizes and image interpolation methods on diagnostic accuracy remains unclear. Understanding th...
Adult Humans Breast Neoplasms Retrospective Studies Deep Learning Female Image Processing, Computer-Assisted Middle Aged Aged Mammography Aged, 80 and over
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Enabling AI-Generated Content for Gadolinium-Free Contrast-Enhanced Breast Magnetic Resonance Imaging.

Journal of magnetic resonance imaging : JMRI Jul 25, 2024
BACKGROUND: There is increasing interest in utilizing AI-generated content for gadolinium-free contrast-enhanced breast MRI.
Sensitivity and Specificity Breast Neoplasms Middle Aged Imaging, Three-Dimensional Image Processing, Computer-Assisted Retrospective Studies Female Reproducibility of Results Aged Adult Image Enhancement Diffusion Magnetic Resonance Imaging Contrast Media Magnetic Resonance Imaging Breast Image Interpretation, Computer-Assisted Gadolinium Humans Artificial Intelligence Algorithms
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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.
Colitis, Ulcerative Intestinal Mucosa Predictive Value of Tests Leukocyte L1 Antigen Complex Photography Colonoscopy Severity of Illness Index Deep Learning Feces Humans ROC Curve Prospective Studies Female Aged Adult Male Middle Aged
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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.
Humans Machine Learning Databases, Factual Predictive Value of Tests Retrospective Studies Time Factors Aged Bilirubin Female Hospital Mortality Male Hepatectomy Risk Factors Liver Neoplasms Middle Aged Serum Albumin, Human Carcinoma, Hepatocellular Risk Assessment Serum Albumin Treatment Outcome Postoperative Complications
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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...
Middle Aged Adolescent Perception Young Adult Adult Humans Male Artificial Intelligence Female
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Comparison of Explainable Artificial Intelligence Model and Radiologist Review Performances to Detect Breast Cancer in 752 Patients.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Jul 25, 2024
OBJECTIVES: Breast cancer is a type of cancer caused by the uncontrolled growth of cells in the breast tissue. In a few cases, erroneous diagnosis of breast cancer by specialists and unnecessary biopsies can lead to various negative consequences. In ...
Humans Artificial Intelligence Female Reproducibility of Results Ultrasonography, Mammary Breast Image Interpretation, Computer-Assisted Breast Neoplasms Aged Middle Aged Aged, 80 and over Adolescent Young Adult Diagnosis, Differential Adult Radiologists Sensitivity and Specificity
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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) ...
Deep Learning Smartphone Photography Eyelids Female Adult Sensitivity and Specificity Male Middle Aged Humans Artificial Intelligence
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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.
Ultrasonography Models, Statistical Predictive Value of Tests Random Forest Parathyroid Glands Tomography, Emission-Computed, Single-Photon Parathyroid Diseases Computer Simulation Female Adult Male Middle Aged Humans Machine Learning
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