AIMC Topic: Male

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A comparative vignette study: Evaluating the potential role of a generative AI model in enhancing clinical decision-making in nursing.

Journal of advanced nursing Feb 17, 2024
AIM: This study explores the potential of a generative artificial intelligence tool (ChatGPT) as clinical support for nurses. Specifically, we aim to assess whether ChatGPT can demonstrate clinical decision-making equivalent to that of expert nurses ...
Humans Artificial Intelligence Clinical Decision-Making Female Middle Aged Surveys and Questionnaires Clinical Competence Students, Nursing Young Adult Adult Cross-Sectional Studies Male
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Deep learning algorithm for automatically measuring Cobb angle in patients with idiopathic scoliosis.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Feb 17, 2024
PURPOSE: The Cobb angle is a standard measurement to qualify and track the progression of scoliosis. However, the Cobb angle has high inter- and intra-observer variability. Consequently, its measurement varies with vertebrae and may even differ when ...
Child Radiography Spine Scoliosis Reproducibility of Results Male Deep Learning Adolescent Humans Female
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Automated Detection of Pediatric Foreign Body Aspiration from Chest X-rays Using Machine Learning.

The Laryngoscope Feb 17, 2024
OBJECTIVE/HYPOTHESIS: Standard chest radiographs are a poor diagnostic tool for pediatric foreign body aspiration. Machine learning may improve upon the diagnostic capabilities of chest radiographs. The objective is to develop a machine learning algo...
Foreign Bodies Respiratory Aspiration Adolescent Child, Preschool Child Radiography, Thoracic Female Sensitivity and Specificity Male Infant Humans Machine Learning Algorithms Retrospective Studies
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OMERACT validation of a deep learning algorithm for automated absolute quantification of knee joint effusion versus manual semi-quantitative assessment.

Seminars in arthritis and rheumatism Feb 17, 2024
OBJECTIVE: To begin evaluating deep learning (DL)-automated quantification of knee joint effusion-synovitis via the OMERACT filter.
Reproducibility of Results Humans Deep Learning Aged Algorithms Magnetic Resonance Imaging Male Female Knee Joint Middle Aged Osteoarthritis, Knee
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Accuracy of automated segmentation and volumetry of acute intracerebral hemorrhage following minimally invasive surgery using a patch-based convolutional neural network in a small dataset.

Neuroradiology Feb 17, 2024
PURPOSE: In cases of acute intracerebral hemorrhage (ICH) volume estimation is of prognostic and therapeutic value following minimally invasive surgery (MIS). The ABC/2 method is widely used, but suffers from inaccuracies and is time consuming. Super...
Neural Networks, Computer Machine Learning Tomography, X-Ray Computed Aged Aged, 80 and over Male Middle Aged Image Processing, Computer-Assisted Humans Cerebral Hemorrhage Minimally Invasive Surgical Procedures
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Development and Validation of Interpretable Machine Learning Models for Clinically Significant Prostate Cancer Diagnosis in Patients With Lesions of PI-RADS v2.1 Score ≥3.

Journal of magnetic resonance imaging : JMRI Feb 16, 2024
BACKGROUND: For patients with PI-RADS v2.1 ≥ 3, prostate biopsy is strongly recommended. Due to the unsatisfactory positive rate of biopsy, improvements in clinically significant prostate cancer (csPCa) risk assessments are required.
Biopsy Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Male Echo-Planar Imaging Magnetic Resonance Imaging Machine Learning Prostatic Neoplasms Middle Aged Retrospective Studies Humans Prostate-Specific Antigen Risk Assessment Reproducibility of Results Prostate ROC Curve Aged
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Automated Patient Registration in Magnetic Resonance Imaging Using Deep Learning-Based Height and Weight Estimation with 3D Camera: A Feasibility Study.

Academic radiology Feb 16, 2024
RATIONALE AND OBJECTIVES: Accurate and efficient estimation of patient height and weight is crucial to ensure patient safety and optimize the quality of magnetic resonance imaging (MRI) procedures. Several height and weight estimation methods have be...
Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging Humans Algorithms Body Weight Aged Feasibility Studies Retrospective Studies Body Height Adult Female Male Middle Aged
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The Combined Effect of Robot-assisted Therapy and Activities of Daily Living Training on Upper Limb Recovery in Persons With Subacute Stroke: A Randomized Controlled Trial.

Archives of physical medicine and rehabilitation Feb 16, 2024
OBJECTIVES: To evaluate the effectiveness of robot-assisted therapy (RAT) followed by activities of daily living (ADL) training in comparison with conventional rehabilitation therapy (CRT) and ADL training in individuals with subacute stroke.
Activities of Daily Living Upper Extremity Stroke Rehabilitation India Recovery of Function Robotics Single-Blind Method Aged Humans Adult Female Male Middle Aged
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Deep Learning for Automated Detection and Localization of Traumatic Abdominal Solid Organ Injuries on CT Scans.

Journal of imaging informatics in medicine Feb 16, 2024
Computed tomography (CT) is the most commonly used diagnostic modality for blunt abdominal trauma (BAT), significantly influencing management approaches. Deep learning models (DLMs) have shown great promise in enhancing various aspects of clinical pr...
Deep Learning ROC Curve Kidney Liver Adult Sensitivity and Specificity Male Middle Aged Spleen Abdominal Injuries Humans Retrospective Studies Wounds, Nonpenetrating Tomography, X-Ray Computed Female Aged
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Machine learning developed an intratumor heterogeneity signature for predicting prognosis and immunotherapy benefits in skin cutaneous melanoma.

Melanoma research Feb 16, 2024
Intratumor heterogeneity (ITH) is defined as differences in molecular and phenotypic profiles between different tumor cells and immune cells within a tumor. ITH was involved in the cancer progression, aggressiveness, therapy resistance and cancer rec...
Prognosis Female Melanoma Skin Neoplasms Humans Machine Learning Male Immunotherapy Melanoma, Cutaneous Malignant
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