- New Phenotypes for Sepsis: The Promise and Problem of Applying Machine Learning and Artificial Intelligence in Clinical Research.
Knaus William A et al. JAMA 2019 May - Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis.
Seymour Christopher W et al. JAMA 2019 May - Predictive analytics and machine learning in stroke and neurovascular medicine.
Saber Hamidreza et al. Neurological research 2019 Apr 1-10 - Connected Health Technology for Cardiovascular Disease Prevention and Management.
Wongvibulsin Shannon et al. Current treatment options in cardiovascular medicine 2019 May 21(6) 29 - A Contrarian View of Digital Health
J Mandrola, Quillette, May 17, 2019 - A new era: artificial intelligence and machine learning in prostate cancer.
Goldenberg S Larry et al. Nature reviews. Urology 2019 May - Big Data and the Intelligence Community - Lessons for Health Care.
Vigilante Kevin et al. The New England journal of medicine 2019 May 380(20) 1888-1890 - Recent technical development of artificial intelligence for diagnostic medical imaging.
Nakata Norio et al. Japanese journal of radiology 2019 Feb 37(2) 103-108 - The Role of Artificial Intelligence in Interventional Oncology: A Primer.
Letzen Brian et al. Journal of vascular and interventional radiology : JVIR 2019 30(1) 38-41.e1 - Systematic review of the use of big data to improve surgery in low- and middle-income countries.
Knight S R et al. The British journal of surgery 2019 106(2) e62-e72 - Natural Language Processing and Its Implications for the Future of Medication Safety: A Narrative Review of Recent Advances and Challenges.
Wong Adrian et al. Pharmacotherapy 2018 38(8) 822-841 - Leveraging electronic health records for clinical research.
Raman Sudha R et al. American heart journal 2018 20213-19 - Electronic Health Record-Enabled Big-Data Approaches to Nephrotoxin-Associated Acute Kidney Injury Risk Prediction.
Sutherland Scott M et al. Pharmacotherapy 2018 38(8) 804-812 - A prediction model of blood pressure for telemedicine.
Kwong Enid Wai-Yung et al. Health informatics journal 2018 24(3) 227-244 - Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.
Hannun Awni Y et al. Nature medicine 2019 25(1) 65-69 - Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study.
Kather Jakob Nikolas et al. PLoS medicine 2019 16(1) e1002730 - Medicine in the digital age.
et al. Nature medicine 2019 25(1) 1 - Toward a clearer picture of health.
Arnaout Rima et al. Nature medicine 2019 Jan 25(1) 12 - Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram.
Attia Zachi I et al. Nature medicine 2019 25(1) 70-74 - Guidelines for reinforcement learning in healthcare.
Gottesman Omer et al. Nature medicine 2019 Jan 25(1) 16-18
No hay comentarios:
Publicar un comentario