Artificial Intelligence in Healthcare
AI, Machine Learning, and Deep and Intelligent Medicine Simplified for Everyone
Academic Edition, Chapter 34 - References/Further Reading
General Edition, Chapter 16 - References/Further Reading
- Lee P. Microsoft’s focus on transforming healthcare: Intelligent health through AI and the cloud [Internet]. Microsoft.com. 2018 [cited 2021 Jan 22]. Available from: https://blogs.microsoft.com/blog/2018/02/28/microsofts-focus-transforming-healthcare-intelligent-health-ai-cloud/
- Microsoft AI Network for Cardiology with Apollo Hospitals to bring new insights in predicting population-based heart diseases [Internet]. Microsoft.com. 2018 [cited 2021 Jan 22]. Available from: https://news.microsoft.com/en-in/features/microsoft-ai-network-healthcare-apollo-hospitals-cardiac-disease-prediction/
- Vincent J. Google’s new AI algorithm predicts heart disease by looking at your eyes [Internet]. The Verge. 2018 [cited 2021 Jan 22]. Available from: https://www.theverge.com/2018/2/19/17027902/google-verily-ai-algorithm-eye-scan-heart-disease-cardiovascular-risk
- Tison GH, Sanchez JM, Ballinger B, Singh A, Olgin JE, Pletcher MJ, Vittinghoff E, Lee ES, Fan SM, Gladstone RA, Mikell C. Passive detection of atrial fibrillation using a commercially available smartwatch. JAMA cardiology. 2018 May 1;3(5):409-16.
- Artificial intelligence can accurately predict future heart disease and strokes, study finds [Internet]. Nottingham.ac.uk. [cited 2021 Jan 22]. Available from: https://www.nottingham.ac.uk/news/pressreleases/2017/april/artificial-intelligence-can-accurately-predict-future-heart-disease-and-strokes-study-finds.aspx
- Arterys marketplace [Internet]. [cited 2021 Jan 22]. Available from: https://marketplace.arterys.com/clinicalApp/cardioapp
- Bay labs announces new data that evaluates accuracy, efficiency and reproducibility of echogpsTM and autoef ai software [Internet]. 2019 [cited 2021 Jan 22]. Available from: https://www.businesswire.com/news/home/20190313005246/en/Bay-Labs-Announces-New-Data-that-Evaluates-Accuracy-Efficiency-and-Reproducibility-of-EchoGPS%E2%84%A2-and-AutoEF-AI-Software
- Schneider M, Bartko P, Geller W, Dannenberg V, König A, Binder C, Goliasch G, Hengstenberg C, Binder T. A machine learning algorithm supports ultrasound-naïve novices in the acquisition of diagnostic echocardiography loops and provides accurate estimation of LVEF. The International Journal of Cardiovascular Imaging. 2020 Oct 8:1-0.
- Kusunose K, Abe T, Haga A, Fukuda D, Yamada H, Harada M, Sata M. A deep learning approach for assessment of regional wall motion abnormality from echocardiographic images. JACC: Cardiovascular Imaging. 2020 Feb 1;13(2 Part 1):374-81.
- Ai is quicker, more effective than humans in analyzing heart scans [Internet]. AI is Quicker, More Effective Than Humans in Analyzing Heart Scans | UC San Francisco. [cited 2021 Jan 22]. Available from: https://www.ucsf.edu/news/2018/03/410071/ai-quicker-more-effective-humans-analyzing-heart-scans
- Admin A. Analytics 4 life® expands its medical advisory board with global experts in cardiology - CorVista health [Internet]. Corvista.com. 2018 [cited 2021 Feb 19]. Available from: https://www.corvista.com/press-release/analytics-4-life-expands-its-medical-advisory-board-with-global-experts-in-cardiology/
- Weissler EH, Zhang J, Lippmann S, Rusincovitch S, Henao R, Jones WS. Use of natural language processing to improve identification of patients with peripheral artery disease. Circ Cardiovasc Interv. 2020;13(10):e009447.
- Wang Y, Wang L, Rastegar-Mojarad M, Moon S, Shen F, Afzal N, Liu S, Zeng Y, Mehrabi S, Sohn S, Liu H. Clinical information extraction applications: a literature review. Journal of biomedical informatics. 2018 Jan 1;77:34-49.