AIMC Topic: Prospective Studies
Clear Filters Showing 411 to 420 of 2401 articles
Artificial T1-Weighted Postcontrast Brain MRI: A Deep Learning Method for Contrast Signal Extraction.
Investigative radiology
Jul 30, 2024
OBJECTIVES: Reducing gadolinium-based contrast agents to lower costs, the environmental impact of gadolinium-containing wastewater, and patient exposure is still an unresolved issue. Published methods have never been compared. The purpose of this stu...
Automated detection of tonic seizures using wearable movement sensor and artificial neural network.
Epilepsia
Jul 30, 2024
Although several validated wearable devices are available for detection of generalized tonic-clonic seizures, automated detection of tonic seizures is still a challenge. In this phase 1 study, we report development and validation of an artificial neu...
Computer-aided prognosis of tuberculous meningitis combining imaging and non-imaging data.
Scientific reports
Jul 30, 2024
Tuberculous meningitis (TBM) is the most lethal form of tuberculosis. Clinical features, such as coma, can predict death, but they are insufficient for the accurate prognosis of other outcomes, especially when impacted by co-morbidities such as HIV i...
Clinical utility of a rapid two-dimensional balanced steady-state free precession sequence with deep learning reconstruction.
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
Jul 28, 2024
BACKGROUND: Cardiovascular magnetic resonance (CMR) cine imaging is still limited by long acquisition times. This study evaluated the clinical utility of an accelerated two-dimensional (2D) cine sequence with deep learning reconstruction (Sonic DL) t...
Heart Ventricles
Humans
Aged
Image Interpretation, Computer-Assisted
Prospective Studies
Adult
Observer Variation
Female
Male
Magnetic Resonance Imaging, Cine
Middle Aged
Reproducibility of Results
Ventricular Function, Left
Ventricular Function, Right
Stroke Volume
Deep Learning
Time Factors
Predictive Value of Tests
Deep learning-based automatic ASPECTS calculation can improve diagnosis efficiency in patients with acute ischemic stroke: a multicenter study.
European radiology
Jul 27, 2024
OBJECTIVES: The Alberta Stroke Program Early CT Score (ASPECTS), a systematic method for assessing ischemic changes in acute ischemic stroke using non-contrast computed tomography (NCCT), is often interpreted relying on expert experience and can vary...
Empowering Early Career Neurosurgeons in the Critical Appraisal of Artificial Intelligence and Machine Learning: The Design and Evaluation of a Pilot Course.
World neurosurgery
Jul 27, 2024
BACKGROUND: Artificial intelligence (AI) is expected to play a greater role in neurosurgery. There is a need for neurosurgeons capable of critically appraising AI literature to evaluate its implementation or communicate information to patients. Howev...
Development of Clinically Validated Artificial Intelligence Model for Detecting ST-segment Elevation Myocardial Infarction.
Annals of emergency medicine
Jul 26, 2024
STUDY OBJECTIVE: Although the importance of primary percutaneous coronary intervention has been emphasized for ST-segment elevation myocardial infarction (STEMI), the appropriateness of the cardiac catheterization laboratory activation remains subopt...
A multi-Task Learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery.
BMC women's health
Jul 26, 2024
PURPOSE: To build an Mult-Task Learning (MTL) based Artificial Intelligence(AI) model that can simultaneously predict clinical stage, histology, grade and LNM for cervical cancer before surgery.
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.
Development and External Validation of a Machine Learning-based Fall Prediction Model for Nursing Home Residents: A Prospective Cohort Study.
Journal of the American Medical Directors Association
Jul 24, 2024
OBJECTIVES: To develop and externally validate a machine learning-based fall prediction model for ambulatory nursing home residents. The focus is on predicting fall occurrences within 6 months after baseline assessment through a binary classification...
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 32531
- Neural Networks, Computer 30499
- Algorithms 27741
- Deep Learning 27298
- Artificial Intelligence 25221
- Robotics 13430
- Image Processing, Computer-Assisted 9890
- Retrospective Studies 9535
- Magnetic Resonance Imaging 6484
- Reproducibility of Results 5746
- Tomography, X-Ray Computed 4962
- Support Vector Machine 4812
- Computational Biology 4396
- Brain 4188
- Computer Simulation 3963
Recent Journals
- Scientific reports 7012
- Sensors (Basel, Switzerland) 4794
- PloS one 4314
- Neural networks : the official journal of the International Neural Network Society 3035
- Computers in biology and medicine 2040
- Computational intelligence and neuroscience 1931
- 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 1395
- IEEE journal of biomedical and health informatics 1197
- Journal of chemical information and modeling 1087
- Nature communications 1071
- Computer methods and programs in biomedicine 895
- Journal of medical Internet research 879
- Bioinformatics (Oxford, England) 879
- IEEE transactions on neural networks and learning systems 859