AIMC Topic: Humans
Showing 64941 to 64950 of 95995 articles
Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging.
Clinical cancer research : an official journal of the American Association for Cancer Research
Apr 22, 2019
PURPOSE: Tumors are continuously evolving biological systems, and medical imaging is uniquely positioned to monitor changes throughout treatment. Although qualitatively tracking lesions over space and time may be trivial, the development of clinicall...
Machine-Learning-Based Predictor of Human-Bacteria Protein-Protein Interactions by Incorporating Comprehensive Host-Network Properties.
Journal of proteome research
Apr 22, 2019
The large-scale identification of protein-protein interactions (PPIs) between humans and bacteria remains a crucial step in systematically understanding the underlying molecular mechanisms of bacterial infection. Computational prediction approaches a...
Accuracy of American College of Surgeons National Surgical Quality Improvement Program Universal Surgical Risk Calculator in Predicting Complications Following Robot-Assisted Radical Cystectomy at a National Comprehensive Cancer Center.
Journal of endourology
Apr 22, 2019
There is paucity of literature about the validation of the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) surgical risk calculator for prediction of outcomes after robot-assisted radical cystectomy (RARC). We ...
mACPpred: A Support Vector Machine-Based Meta-Predictor for Identification of Anticancer Peptides.
International journal of molecular sciences
Apr 22, 2019
Anticancer peptides (ACPs) are promising therapeutic agents for targeting and killing cancer cells. The accurate prediction of ACPs from given peptide sequences remains as an open problem in the field of immunoinformatics. Recently, machine learning ...
A quantitative SVM approach potentially improves the accuracy of magnetic resonance spectroscopy in the preoperative evaluation of the grades of diffuse gliomas.
NeuroImage. Clinical
Apr 22, 2019
OBJECTIVES: To investigate the association between proton magnetic resonance spectroscopy (H-MRS) metabolic features and the grade of gliomas, and to establish a machine-learning model to predict the glioma grade.
Predicting childhood obesity using electronic health records and publicly available data.
PloS one
Apr 22, 2019
BACKGROUND: Because of the strong link between childhood obesity and adulthood obesity comorbidities, and the difficulty in decreasing body mass index (BMI) later in life, effective strategies are needed to address this condition in early childhood. ...
Artificial intelligence in medical education.
Medical teacher
Apr 21, 2019
Artificial intelligence (AI) is a growing phenomenon, and will soon facilitate wide-scale changes in many professions, including medical education. In order for medical educators to be properly prepared for AI, they will need to have at least a funda...
Novel pediatric-automated respiratory score using physiologic data and machine learning in asthma.
Pediatric pulmonology
Apr 21, 2019
OBJECTIVES: Manual clinical scoring systems are the current standard used for acute asthma clinical care pathways. No automated system exists that assesses disease severity, time course, and treatment impact in pediatric acute severe asthma exacerbat...
In silico prediction of drug-induced rhabdomyolysis with machine-learning models and structural alerts.
Journal of applied toxicology : JAT
Apr 21, 2019
Drug-induced rhabdomyolysis (DIR) is a serious adverse reaction and can be fatal. In the present study, we focused on the modeling and understanding of the molecular basis of DIR of small molecule drugs. A series of machine-learning models were devel...
Advanced atherosclerosis imaging by CT: Radiomics, machine learning and deep learning.
Journal of cardiovascular computed tomography
Apr 21, 2019
In the last decade, technical advances in the field of medical imaging significantly improved and broadened the application of coronary CT angiography (CCTA) for the non-invasive assessment of coronary artery disease. Recently, similar breakthroughs ...
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 32655
- Neural Networks, Computer 30545
- Algorithms 27797
- Deep Learning 27357
- Artificial Intelligence 25287
- Robotics 13443
- Image Processing, Computer-Assisted 9910
- Retrospective Studies 9561
- Magnetic Resonance Imaging 6493
- Reproducibility of Results 5753
- Tomography, X-Ray Computed 4970
- Support Vector Machine 4827
- Computational Biology 4407
- Brain 4196
- Computer Simulation 3970
Recent Journals
- Scientific reports 9611
- PloS one 4878
- Sensors (Basel, Switzerland) 4794
- Neural networks : the official journal of the International Neural Network Society 3053
- Computers in biology and medicine 2084
- 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
- Nature communications 1331
- IEEE journal of biomedical and health informatics 1311
- Journal of chemical information and modeling 1280
- Journal of medical Internet research 1009
- IEEE transactions on neural networks and learning systems 927
- Bioinformatics (Oxford, England) 911
- Computer methods and programs in biomedicine 896