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AI versus human-generated multiple-choice questions for medical education: a cohort study in a high-stakes examination.
BMC medical education
Feb 8, 2025
BACKGROUND: The creation of high-quality multiple-choice questions (MCQs) is essential for medical education assessments but is resource-intensive and time-consuming when done by human experts. Large language models (LLMs) like ChatGPT-4o offer a pro...
Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients.
Scientific reports
Feb 8, 2025
Post-Liver transplantation (LT) survival rates stagnate, with biliary complications (BC) as a major cause of death. We analyzed longitudinal data with a median 19-month follow-up. BC was diagnosed with ultrasounds and MRCP. Missing data was imputed u...
Deep Learning Reconstruction Combined With Conventional Acceleration Improves Image Quality of 3 T Brain MRI and Does Not Impact Quantitative Diffusion Metrics.
Investigative radiology
Feb 7, 2025
OBJECTIVES: Deep learning reconstruction of magnetic resonance imaging (MRI) allows to either improve image quality of accelerated sequences or to generate high-resolution data. We evaluated the interaction of conventional acceleration and Deep Resol...
Developing approaches to incorporate donor-lung computed tomography images into machine learning models to predict severe primary graft dysfunction after lung transplantation.
American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons
Feb 7, 2025
Primary graft dysfunction (PGD) is a common complication after lung transplantation associated with poor outcomes. Although risk factors have been identified, the complex interactions between clinical variables affecting PGD risk are not well underst...
Characterizing drivers of change in intraoperative cerebral saturation using supervised machine learning.
Journal of clinical monitoring and computing
Feb 7, 2025
Regional cerebral oxygen saturation (rSO) is used to monitor cerebral perfusion with emerging evidence that optimization of rSO may improve neurological and non-neurological outcomes. To manipulate rSO an understanding of the variables that drive its...
Carbon Dioxide
Oxygen Saturation
Cerebrovascular Circulation
Oximetry
Male
Middle Aged
Spectroscopy, Near-Infrared
Hemodynamics
Female
Oxygen
Humans
Monitoring, Intraoperative
Reproducibility of Results
Signal Processing, Computer-Assisted
ROC Curve
Machine Learning
Aged
Supervised Machine Learning
Algorithms
Adult
Brain
Artificial Intelligence Job Substitution Risks, Digital Self-efficacy, and Mental Health Among Employees.
Journal of occupational and environmental medicine
Feb 7, 2025
OBJECTIVE: Artificial intelligence (AI) becomes increasingly integrated into the workplace, its associated job substitution risks for employees are more evident, resulting in significant repercussions for their well-being. This study tries to elucida...
Thessaly Graft Index: An Artificial Intelligence-Based Index for the Assessment of Graft Integrity in ACL-Reconstructed Knees.
The Journal of bone and joint surgery. American volume
Feb 7, 2025
BACKGROUND: Magnetic resonance imaging (MRI) has proven to be a valuable noninvasive tool to evaluate graft integrity after anterior cruciate ligament (ACL) reconstruction. However, MRI protocols and interpretation methodologies are quite diverse, pr...
Enhanced EEG-based cognitive workload detection using RADWT and machine learning.
Neuroscience
Feb 7, 2025
Understanding cognitive workload improves learning performance and provides insights into human cognitive processes. Estimating cognitive workload finds practical applications in adaptive learning systems, brain-computer interfaces, and cognitive mon...
Integration of radiomic and deep features to reliably differentiate benign renal lesions from renal cell carcinoma.
European journal of radiology
Feb 7, 2025
PURPOSE: Accurate differentiation of benign renal lesions from renal cell carcinoma (RCC) is crucial for optimized management, particularly for small renal lesions (≤4 cm in diameter). This study aimed to integrate clinical data, radiomic features, a...
Male
Middle Aged
Deep Learning
Humans
Diagnosis, Differential
Radiographic Image Interpretation, Computer-Assisted
Retrospective Studies
Female
Aged, 80 and over
Kidney Neoplasms
Tomography, X-Ray Computed
Reproducibility of Results
Carcinoma, Renal Cell
Adult
Aged
Sensitivity and Specificity
Radiomics
Diagnosis of Chronic Kidney Disease Using Retinal Imaging and Urine Dipstick Data: Multimodal Deep Learning Approach.
JMIR medical informatics
Feb 7, 2025
BACKGROUND: Chronic kidney disease (CKD) is a prevalent condition with significant global health implications. Early detection and management are critical to prevent disease progression and complications. Deep learning (DL) models using retinal image...
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