AIMC Topic: Young Adult
Clear Filters Showing 631 to 640 of 4807 articles
Effect of feedback-integrated reflection, on deep learning of undergraduate medical students in a clinical setting.
BMC medical education
Jan 14, 2025
BACKGROUND: Reflection fosters self-regulated learning by enabling learners to critically evaluate their performance, identify gaps, and make plans to improve. Feedback, in turn, provides external insights that complement reflection, helping learners...
Recruiting Young People for Digital Mental Health Research: Lessons From an AI-Driven Adaptive Trial.
Journal of medical Internet research
Jan 14, 2025
BACKGROUND: With increasing adoption of remote clinical trials in digital mental health, identifying cost-effective and time-efficient recruitment methodologies is crucial for the success of such trials. Evidence on whether web-based recruitment meth...
Exploring the role of moxibustion robots in teaching: a cross-sectional study.
BMC medical education
Jan 13, 2025
BACKGROUND: Artificial intelligence has gradually been used into various fields of medical education at present. Under the background of moxibustion robot teaching assistance, the study aims to explore the relationship and the internal mechanism betw...
Comparative diagnostic accuracy of ChatGPT-4 and machine learning in differentiating spinal tuberculosis and spinal tumors.
The spine journal : official journal of the North American Spine Society
Jan 11, 2025
BACKGROUND: In clinical practice, distinguishing between spinal tuberculosis (STB) and spinal tumors (ST) poses a significant diagnostic challenge. The application of AI-driven large language models (LLMs) shows great potential for improving the accu...
Using supervised machine learning and ICD10 to identify non-accidental trauma in pediatric trauma patients in the Maryland Health Services Cost Review Commission dataset.
Child abuse & neglect
Jan 11, 2025
BACKGROUND: Identifying non-accidental trauma (NAT) in pediatric trauma patients is challenging. We developed a machine learning model that uses demographic characteristics and ICD10 codes to detect the first diagnosis of NAT.
Deep Neural Network Analysis of the 12-Lead Electrocardiogram Distinguishes Patients With Congenital Long QT Syndrome From Patients With Acquired QT Prolongation.
Mayo Clinic proceedings
Jan 11, 2025
OBJECTIVE: To test whether an artificial intelligence (AI) deep neural network (DNN)-derived analysis of the 12-lead electrocardiogram (ECG) can distinguish patients with long QT syndrome (LQTS) from those with acquired QT prolongation.
Prediction of p-phenylenediamine antioxidant concentrations in human urine using machine learning models.
Journal of hazardous materials
Jan 10, 2025
p-phenylenediamine antioxidants (PPDs) are extensively used in rubber manufacturing for their potent antioxidative properties, but PPDs and 2-anilino-5-[(4-methylpentan-2yl)amino]cyclohexa-2,5-diene-1,4-dione (6PPDQ) pose potential environmental and ...
Multi-center brain age prediction via dual-modality fusion convolutional network.
Medical image analysis
Jan 10, 2025
Accurate prediction of brain age is crucial for identifying deviations between typical individual brain development trajectories and neuropsychiatric disease progression. Although current research has made progress, the effective application of brain...
Unraveling the Differential Efficiency of Dorsal and Ventral Pathways in Visual Semantic Decoding.
International journal of neural systems
Jan 10, 2025
Visual semantic decoding aims to extract perceived semantic information from the visual responses of the human brain and convert it into interpretable semantic labels. Although significant progress has been made in semantic decoding across individual...
Machine learning in the prediction of human wellbeing.
Scientific reports
Jan 10, 2025
Subjective wellbeing data are increasingly used across the social sciences. Yet, despite the widespread use of such data, the predictive power of approaches commonly used to model wellbeing is only limited. In response, we here use tree-based Machine...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32091
- Neural Networks, Computer 30255
- Algorithms 27448
- Deep Learning 26951
- Artificial Intelligence 24880
- Robotics 13397
- Image Processing, Computer-Assisted 9750
- Retrospective Studies 9368
- Magnetic Resonance Imaging 6357
- Reproducibility of Results 5674
- Tomography, X-Ray Computed 4872
- Support Vector Machine 4776
- Computational Biology 4347
- Brain 4135
- Computer Simulation 3937
Recent Journals
- Scientific reports 6908
- Sensors (Basel, Switzerland) 4794
- PloS one 4228
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1920
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1378
- IEEE journal of biomedical and health informatics 1181
- Journal of chemical information and modeling 1072
- Nature communications 1055
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 879
- Journal of medical Internet research 871
- IEEE transactions on neural networks and learning systems 857