Artificial Intelligence in Healthcare

AI, Machine Learning, and Deep and Intelligent Medicine Simplified for Everyone

Academic Edition, Chapter 14 - References/Further Reading

 

  1. 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
  2. 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
  3. Swayamsiddha S, Mohanty C. Application of cognitive Internet of Medical Things for COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2020 Jun 11.
  4. 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.
  5. 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
  6. May 8, 2002 Issue of JAMA [Internet]. [cited 2021 Jan 20]. Available from: https://jamanetwork.com/journals/jama/issue/287/18
  7. 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.
  8. Smith KP, Kirby JE. Image analysis and artificial intelligence in infectious disease diagnostics. Clinical Microbiology and Infection. 2020 Mar 22.
  9. Pathai [Internet]. [cited 2021 Jan 20]. Available from: https://www.pathai.com/what-we-do/
  10. 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
  11. About us [Internet]. [cited 2021 Jan 20]. Available from: https://www.cellavision.com/en/about-us
  12. Athelas [Internet]. [cited 2021 Jan 20]. Available from: https://athelas.com/technology/
  13. Resources [Internet]. Genalyte. [cited 2021 Jan 20]. Available from: https://www.genalyte.com/clinical/
  14. 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.
  15. 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
  16. Garuda platform [Internet]. Garuda Platform. [cited 2021 Jan 20]. Available from: http://54.95.52.79/GetGaruda/index.html
  17. 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.
  18. 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.