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In IEEE journal of biomedical and health informatics
Serra Ginalber L O, Gomes Daiana Caroline Dos Santos
Automation of Quantifying Axonal Loss in Patients with Peripheral Neuropathies through Deep Learning Derived Muscle Fat Fraction.
In Journal of magnetic resonance imaging : JMRI
STUDY TYPE :
FIELD STRENGTH/SEQUENCES :
STATISTICAL TESTS :
DATA CONCLUSION :
LEVEL OF EVIDENCE :
Chen Yongsheng, Moiseev Daniel, Kong Wan Yee, Bezanovski Alexandar, Li Jun
Dixon magnetic resonance imaging, axonal loss, convolutional neural network, fat fraction, muscle, peripheral neuropathy
In Drug delivery and translational research
Sharma Richa, Singh Dhirendra, Gaur Prerna, Joshi Deepak
Biological systems, Cancer treatment, Cardiac ailments, Closed-loop control, Control system, Drug delivery, GI tract, Insulin therapy, Neurological disorders
Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics.
In European radiology ; h5-index 62.0
KEY POINTS :
Mao Bing, Ma Jingdong, Duan Shaobo, Xia Yuwei, Tao Yaru, Zhang Lianzhong
Liver neoplasms, Machine learning, Radiomics, Ultrasonography
Recommendations for the safe, effective use of adaptive CDS in the US healthcare system: an AMIA position paper.
In Journal of the American Medical Informatics Association : JAMIA
Petersen Carolyn, Smith Jeffery, Freimuth Robert R, Goodman Kenneth W, Jackson Gretchen Purcell, Kannry Joseph, Liu Hongfang, Madhavan Subha, Madhavan Subha, Sittig Dean F, Wright Adam
artificial intelligence, clinical decision support, health policy, machine learning, software as a medical device
In International Journal of Cardiology. Hypertension
Methods and results :
Amaratunga Dhammika, Cabrera Javier, Sargsyan Davit, Kostis John B, Zinonos Stavros, Kostis William J
AMI, Acute Myocardial Infarction, CART, Classification and Regression Trees, CNN, Convolution Neural Net, CS/E, Computer Sciences/Engineering, DBP, Diastolic Blood Pressure, Deep neural networks, Disease management, EHR, Electronic Health Record, HF, Heart Failure, Hypertension, ICD, International Classification of Diseases, MIDAS, Myocardial Infarction Data Acquisition System, Machine learning, NPV, Negative Predictive Value, PDN, Personalized Disease Network, PPG, photoplethysmography, PPV, Positive Predictive Value, Personalized disease network, SBP, Systolic Blood Pressure, SVM, Support Vector Machine