Last Posted: Dec 21, 2019
- Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study.
Commandeur Frederic et al. Cardiovascular research 2019 Dec - Artificial intelligence and neural networks in urology: current clinical applications.
Checcucci Enrico et al. Minerva urologica e nefrologica = The Italian journal of urology and nephrology 2019 Dec - Artificial intelligence applications for thoracic imaging.
Chassagnon Guillaume et al. European journal of radiology 2019 Dec 123108774 - Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges.
Huang Shigao et al. Cancer letters 2019 Dec 47161-71 - Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's Disease.
Rehman Rana Zia Ur et al. Sensors (Basel, Switzerland) 2019 Dec 19(24) - Data mining polycystic ovary morphology in electronic medical record ultrasound reports.
Cheng Jay Jojo et al. Fertility research and practice 2019 513 - Development and Validation of a Machine Learning Model to Aid Discharge Processes for Inpatient Surgical Care.
Safavi Kyan C et al. JAMA network open 2019 Dec 2(12) e1917221 - Eliminating biasing signals in lung cancer images for prognosis predictions with deep learning.
van Amsterdam W A C et al. NPJ digital medicine 2019 2122 - Ethical considerations about artificial intelligence for prognostication in intensive care.
Beil Michael et al. Intensive care medicine experimental 2019 Dec 7(1) 70 - Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries: A machine learning approach.
Bachli M Belen et al. NeuroImage 2019 Dec 116456
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