Artificial Intelligence in Healthcare
AI, Machine Learning, and Deep and Intelligent Medicine Simplified for Everyone
Academic Edition, Chapter 14 - References/Further Reading
- Cancer facts & figures 2014 [Internet]. [cited 2021 Jan 20]. Available from: https://www.cancer.org/research/cancer-facts-statistics/all-cancer-facts-figures/cancer-facts-figures-2014.html
- Bainbridge S, Cake R, Mike M, Furness P, Gordon B. Testing Times To Come ? An Evaluation of Pathology Capacity Across the Uk. Cancer Res UK [Internet]. 2016;(November). Available from: cancerresearchuk.org
- Swayamsiddha S, Mohanty C. Application of cognitive Internet of Medical Things for COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2020 Jun 11.
- Allam Z, Jones DS. On the coronavirus (COVID-19) outbreak and the smart city network: universal data sharing standards coupled with artificial intelligence (AI) to benefit urban health monitoring and management. InHealthcare 2020 Mar (Vol. 8, No. 1, p. 46). Multidisciplinary Digital Publishing Institute.
- Table-top robot uses ai to make blood draws, insert catheters | [Internet]. Medgadget. 2020 [cited 2021 Jan 20]. Available from: https://www.medgadget.com/2020/03/table-top-robot-uses-ai-to-make-blood-draws-insert-catheters.html
- May 8, 2002 Issue of JAMA [Internet]. [cited 2021 Jan 20]. Available from: https://jamanetwork.com/journals/jama/issue/287/18
- Gulavani MS, Kulkarni RV. A review of knowledge based systems in medical diagnosis. Int J Inform Technol Knowledge Manage. 2009 Jul;2(2):269-75.
- Smith KP, Kirby JE. Image analysis and artificial intelligence in infectious disease diagnostics. Clinical Microbiology and Infection. 2020 Mar 22.
- Pathai [Internet]. [cited 2021 Jan 20]. Available from: https://www.pathai.com/what-we-do/
- Philips intellisite pathology solution | philips healthcare [Internet]. Philips. [cited 2021 Jan 20]. Available from: https://www.usa.philips.com/healthcare/resources/landing/philips-intellisite-pathology-solution
- About us [Internet]. [cited 2021 Jan 20]. Available from: https://www.cellavision.com/en/about-us
- Athelas [Internet]. [cited 2021 Jan 20]. Available from: https://athelas.com/technology/
- Resources [Internet]. Genalyte. [cited 2021 Jan 20]. Available from: https://www.genalyte.com/clinical/
- Mejía-Salazar JR, Rodrigues Cruz K, Materón Vásques EM. Microfluidic Point-of-Care Devices: New Trends and Future Prospects for eHealth Diagnostics. Sensors. 2020 Jan;20(7):1951.
- Effect of artificial intelligence in the clinical laboratory [Internet]. Omnia Health Insights | News from the global healthcare community. 2020 [cited 2021 Jan 20]. Available from: https://insights.omnia-health.com/laboratory/effect-artificial-intelligence-clinical-laboratory
- Garuda platform [Internet]. Garuda Platform. [cited 2021 Jan 20]. Available from: http://54.95.52.79/GetGaruda/index.html
- Smith JA, Abhari RE, Hussain Z, Heneghan C, Collins GS, Carr AJ. Industry ties and evidence in public comments on the FDA framework for modifications to artificial intelligence/machine learning-based medical devices: a cross sectional study. BMJ open. 2020 Oct 1;10(10):e039969.
- Commissioner O. of the. Statement from FDA Commissioner Scott Gottlieb, MD on steps toward a new, tailored review framework for artificial intelligence-based medical devices. FDA. 2019.