AIMC Topic: Male

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Graph convolutional network with attention mechanism improve major depressive depression diagnosis based on plasma biomarkers and neuroimaging data.

Journal of affective disorders May 31, 2024
BACKGROUND: The absence of clinically-validated biomarkers or objective protocols hinders effective major depressive disorder (MDD) diagnosis. Compared to healthy control (HC), MDD exhibits anomalies in plasma protein levels and neuroimaging presenta...
Humans Algorithms Cytokines Biomarkers Neural Networks, Computer Machine Learning Neuroimaging Depressive Disorder, Major Gray Matter Case-Control Studies Orexins Magnetic Resonance Imaging Attention Female Adult Male Middle Aged
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Deep Learning-Based Segmentation and Risk Stratification for Gastrointestinal Stromal Tumors in Transabdominal Ultrasound Imaging.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine May 31, 2024
PURPOSE: To develop a deep neural network system for the automatic segmentation and risk stratification prediction of gastrointestinal stromal tumors (GISTs).
Risk Assessment Deep Learning Ultrasonography Abdomen Young Adult Adult Male Middle Aged Gastrointestinal Neoplasms Gastrointestinal Stromal Tumors Humans Prospective Studies Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over
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Fully Automatic Quantitative Measurement of Equilibrium Radionuclide Angiocardiography Using a Convolutional Neural Network.

Clinical nuclear medicine May 31, 2024
PURPOSE: The aim of this study was to generate deep learning-based regions of interest (ROIs) from equilibrium radionuclide angiography datasets for left ventricular ejection fraction (LVEF) measurement.
Image Processing, Computer-Assisted Male Humans Automation Stroke Volume Angiocardiography Middle Aged Neural Networks, Computer Gated Blood-Pool Imaging Deep Learning Female Aged
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No code machine learning: validating the approach on use-case for classifying clavicle fractures.

Clinical imaging May 31, 2024
PURPOSE: We created an infrastructure for no code machine learning (NML) platform for non-programming physicians to create NML model. We tested the platform by creating an NML model for classifying radiographs for the presence and absence of clavicle...
Fractures, Bone Radiography Clavicle Humans Adult Sensitivity and Specificity Machine Learning Male Retrospective Studies Middle Aged Female
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Deciphering the environmental chemical basis of muscle quality decline by interpretable machine learning models.

The American journal of clinical nutrition May 31, 2024
BACKGROUND: Sarcopenia is known as a decline in skeletal muscle quality and function that is associated with age. Sarcopenia is linked to diverse health problems, including endocrine-related diseases. Environmental chemicals (ECs), a broad class of c...
Environmental Pollutants Environmental Exposure Humans Male Machine Learning Nutrition Surveys Female Middle Aged Sarcopenia Aged Muscle, Skeletal Adult
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Development and Validation of a Machine Learning Model for Bone Metastasis in Prostate Cancer: Based on Inflammatory and Nutritional Indicators.

Urology May 31, 2024
OBJECTIVE: To establish a predictive model for prostate cancer bone metastasis utilizing multiple machine learning algorithms.
Bone Neoplasms Decision Trees Prostatic Neoplasms Retrospective Studies Aged Male Middle Aged Humans Machine Learning
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Predicting treatment resistance in schizophrenia patients: Machine learning highlights the role of early pathophysiologic features.

Schizophrenia research May 31, 2024
Detecting patients with a high-risk profile for treatment-resistant schizophrenia (TRS) can be beneficial for implementing individually adapted therapeutic strategies and better understanding the TRS etiology. The aim of this study was to explore, wi...
Antipsychotic Agents Adolescent Medication Adherence Schizophrenia Schizophrenia, Treatment-Resistant Young Adult Adult Male Middle Aged Humans Retrospective Studies Female Risk Factors Machine Learning Prognosis
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Deep learning-based magnetic resonance imaging analysis for chronic cerebral hypoperfusion risk.

Medical physics May 31, 2024
BACKGROUND: Chronic cerebral hypoperfusion (CCH) is a frequently encountered clinical condition that poses a diagnostic challenge due to its nonspecific symptoms.
Female Aged Adult Male Middle Aged Humans Retrospective Studies Cerebrovascular Disorders Cerebrovascular Circulation Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Chronic Disease
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Development of a machine learning-based prediction model for clinical pregnancy of intrauterine insemination in a large Chinese population.

Journal of assisted reproduction and genetics May 31, 2024
PURPOSE: This study aimed to evaluate the effectiveness of a random forest (RF) model in predicting clinical pregnancy outcomes from intrauterine insemination (IUI) and identifying significant factors affecting IUI pregnancy in a large Chinese popula...
Infertility Anti-Mullerian Hormone Follicle Stimulating Hormone Luteinizing Hormone Insemination, Artificial Pregnancy Female Adult Humans Male China Machine Learning Pregnancy Rate ROC Curve Pregnancy Outcome East Asian People
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Development of a diagnostic support system for the fibrosis of nonalcoholic fatty liver disease using artificial intelligence and deep learning.

The Kaohsiung journal of medical sciences May 31, 2024
Liver fibrosis is a pathological condition characterized by the abnormal proliferation of liver tissue, subsequently able to progress to cirrhosis or possibly hepatocellular carcinoma. The development of artificial intelligence and deep learning have...
Humans Artificial Intelligence Female Deep Learning Liver Cirrhosis Liver Biopsy Aged Non-alcoholic Fatty Liver Disease Adult Male Middle Aged
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