Artificial Intelligence in Healthcare
AI, Machine Learning, and Deep and Intelligent Medicine Simplified for Everyone
Academic Edition, Chapter 50 - References/Further Reading
- Parwani AV. Next generation diagnostic pathology: use of digital pathology and artificial intelligence tools to augment a pathological diagnosis. Diagn Pathol. 2019 Dec;14[1]:138, s13000-019-0921– [2]
- Artificial Intelligence [Internet]. Cancer.gov. 2020 [cited 2021 Feb 19]. Available from: https://www.cancer.gov/research/areas/diagnosis/artificial-intelligence
- Shimizu H, Nakayama KI. Artificial intelligence in oncology. Cancer Sci. 2020 May;111[5]:1452–60.
- Mahadevaiah G, Rv P, Bermejo I, Jaffray D, Dekker A, Wee L. Artificial intelligence-based clinical decision support in modern medical physics: Selection, acceptance, commissioning, and quality assurance. Medical Physics. 2020;47[5]: e228–3[5]
- Dias R, Torkamani A. Artificial intelligence in clinical and genomic diagnostics. Genome Medicine. 2019 Nov 19;11[1]:70.
- Schork NJ. Artificial intelligence and personalized medicine. Cancer Treat Res. 2019; 178:265–8[3]
- Artificial intelligence could increase clinical trial success rates [Internet]. Healthitanalytics.com. 2019 [cited 2021 Feb 19]. Available from: https://healthitanalytics.com/news/artificial-intelligence-could-increase-clinical-trial-success-rates
- Kann BH, Thompson R, Thomas CR, Dicker A, Aneja S. Artificial intelligence in oncology: current applications and future directions. Oncology (Williston Park). 2019 Feb 15;33[2]:46–5[3]