AIMC Topic: Sensitivity and Specificity
Clear Filters Showing 1301 to 1310 of 2879 articles
Machine learning volumetry of ischemic brain lesions on CT after thrombectomy-prospective diagnostic accuracy study in ischemic stroke patients.
Neuroradiology
Apr 22, 2020
PURPOSE: Ischemic lesion volume (ILV) is an important radiological predictor of functional outcome in patients with anterior circulation stroke. Our aim was to assess the agreement between automated ILV measurements on NCCT using the Brainomix softwa...
Should We Ignore, Follow, or Biopsy? Impact of Artificial Intelligence Decision Support on Breast Ultrasound Lesion Assessment.
AJR. American journal of roentgenology
Apr 22, 2020
The objective of this study was to assess the impact of artificial intelligence (AI)-based decision support (DS) on breast ultrasound (US) lesion assessment. A multicenter retrospective review of 900 breast lesions (470/900 [52.2%] benign; 430/900 ...
Perioperative margin detection in basal cell carcinoma using a deep learning framework: a feasibility study.
International journal of computer assisted radiology and surgery
Apr 22, 2020
PURPOSE: Basal cell carcinoma (BCC) is the most commonly diagnosed cancer and the number of diagnosis is growing worldwide due to increased exposure to solar radiation and the aging population. Reduction of positive margin rates when removing BCC lea...
Detection and identification of Cannabis sativa L. using near infrared hyperspectral imaging and machine learning methods. A feasibility study.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Apr 21, 2020
Remote identification of illegal plantations of Cannabis sativa Linnaeus is an important task for the Brazilian Federal Police. The current analytical methodology is expensive and strongly dependent on the expertise of the forensic investigator. A fa...
Deep convolutional neural networks for automated segmentation of brain metastases trained on clinical data.
Radiation oncology (London, England)
Apr 20, 2020
INTRODUCTION: Deep learning-based algorithms have demonstrated enormous performance in segmentation of medical images. We collected a dataset of multiparametric MRI and contour data acquired for use in radiosurgery, to evaluate the performance of dee...
Deep learning with diffusion basis spectrum imaging for classification of multiple sclerosis lesions.
Annals of clinical and translational neurology
Apr 18, 2020
OBJECTIVE: Multiple sclerosis (MS) lesions are heterogeneous with regard to inflammation, demyelination, axonal injury, and neuronal loss. We previously developed a diffusion basis spectrum imaging (DBSI) technique to better address MS lesion heterog...
Artificial Intelligence to Detect Papilledema from Ocular Fundus Photographs.
The New England journal of medicine
Apr 14, 2020
BACKGROUND: Nonophthalmologist physicians do not confidently perform direct ophthalmoscopy. The use of artificial intelligence to detect papilledema and other optic-disk abnormalities from fundus photographs has not been well studied.
FF-QuantSC: accurate quantification of fetal fraction by a neural network model.
Molecular genetics & genomic medicine
Apr 13, 2020
BACKGROUND: Noninvasive prenatal testing (NIPT) is one of the most commonly employed clinical measures for screening of fetal aneuploidy. Fetal Fraction (ff) has been demonstrated to be one of the key factors affecting the performance of NIPT. Accura...
Disease prediction via Bayesian hyperparameter optimization and ensemble learning.
BMC research notes
Apr 10, 2020
OBJECTIVE: Early disease screening and diagnosis are important for improving patient survival. Thus, identifying early predictive features of disease is necessary. This paper presents a comprehensive comparative analysis of different Machine Learning...
Automatic diagnosis of the 12-lead ECG using a deep neural network.
Nature communications
Apr 9, 2020
The role of automatic electrocardiogram (ECG) analysis in clinical practice is limited by the accuracy of existing models. Deep Neural Networks (DNNs) are models composed of stacked transformations that learn tasks by examples. This technology has re...
Don't Miss the Future of Medicine
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 31322
- Neural Networks, Computer 29842
- Algorithms 26996
- Deep Learning 26518
- Artificial Intelligence 24441
- Robotics 13334
- Image Processing, Computer-Assisted 9593
- Retrospective Studies 9169
- Magnetic Resonance Imaging 6217
- Reproducibility of Results 5616
- Tomography, X-Ray Computed 4796
- Support Vector Machine 4712
- Computational Biology 4277
- Brain 4060
- Computer Simulation 3895
Recent Journals
- Scientific reports 6215
- Sensors (Basel, Switzerland) 4794
- PloS one 4077
- Neural networks : the official journal of the International Neural Network Society 2930
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1868
- 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 1278
- IEEE journal of biomedical and health informatics 1144
- Journal of chemical information and modeling 1019
- Nature communications 971
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 863
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 831