Last Posted: Mar 23, 2020
- Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness.
Vollmer Sebastian et al. BMJ (Clinical research ed.) 2020 Mar l6927 - A machine-learning approach to predicting hypotensive events in ICU settings.
Moghadam Mina Chookhachizadeh et al. Computers in biology and medicine 2020 Mar 118103626 - Artificial intelligence and radiomics enhance the positive predictive value of digital chest tomosynthesis for lung cancer detection within SOS clinical trial.
Chauvie Stéphane et al. European radiology 2020 Mar - Artificial Intelligence in the Management of Intracranial Aneurysms: Current Status and Future Perspectives.
Shi Z et al. AJNR. American journal of neuroradiology 2020 Mar - Classification of Voice Disorders Using a One-Dimensional Convolutional Neural Network.
Fujimura Shintaro et al. Journal of voice : official journal of the Voice Foundation 2020 Mar - Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence.
Abderrahmane Nassim et al. Neural networks : the official journal of the International Neural Network Society 2020 Jan 121366-386 - Detecting heart failure using wearables: a pilot study.
Shah Amit J et al. Physiological measurement 2020 Mar - Differentiation combined hepatocellular and cholangiocarcinoma from intrahepatic cholangiocarcinoma based on radiomics machine learning.
Zhang Jun et al. Annals of translational medicine 2020 Feb 8(4) 119 - From Compressed-Sensing to Artificial Intelligence-Based Cardiac MRI Reconstruction.
Bustin Aurélien et al. Frontiers in cardiovascular medicine 2020 717 - Identification of a novel gene signature for the prediction of recurrence in HCC patients by machine learning of genome-wide databases.
Shen Jie et al. Scientific reports 2020 Mar 10(1) 4435
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