Artificial Intelligence: A Revolution for Cancer Screening & Detection скачать в хорошем качестве

Artificial Intelligence: A Revolution for Cancer Screening & Detection

This video presents the current use of artificial intelligence in cancer screening and detection. It gives an explanation of what cancer is briefly, followed by how artificial intelligence works, how it is being used in cancer therapy, current research in the area, and ethical factors to take into consideration. This video is aimed at a highschool and undergraduate student audience. Subscribe to the McMaster Demystifying Medicine YouTube channel:    / demystifyingmedicine   This video is provided for general and educational information only. Please consult your health care provider for Information about your health. This video was made by McMaster University students Maha Saleem, Julia Labricciosa, Kevin Park & Zain Daudi in collaboration with the McMaster Demystifying Medicine Program Copyright McMaster University 2022. References: 1. National Cancer Institute. What is Cancer? Available from: https://www.cancer.gov/about-cancer/u... [Accessed 22 November, 2021]. 2. Bhinder B, Gilvary C, Madhukar NS, Elemento O. Artificial Intelligence in Cancer Research and Precision Medicine. Cancer Discovery. 2021;11(4):900–15. 3. Dercle L, Fronheiser M, Lu L, Du S, Hayes W, Leung D, et al. Identification of non–small cell lung cancer sensitive to systemic cancer therapies using radiomics. Clinical Cancer Research. 2020;26(9): 2151-2162. 4. Svoboda E. Deep learning delivers early detection. Nature. 2020;587. 5. Khosravan, N., Celik, H., Turkbey, B., Jones, E. C., Wood, B., & Bagci, U. (2019). A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning. Medical Image Analysis, 51, 101–115. https://doi.org/10.1016/j.media.2018.... 6. National Cancer Institute. Artificial Intelligence - Opportunities in Cancer Research. Available from: https://www.cancer.gov/research/areas... [Accessed 22 November, 2021]. 7. Javed Z, Sadia H, Qureshi IA, Irshad A, Ahmed R, Malik K, et al. Clinical applications of Artificial Intelligence and machine learning in cancer diagnosis: Looking into the future [Internet]. Cancer Cell International. Cancer Cell Int. 2021;21. 8. Savage N. Another set of eyes for cancer diagnoses. Nature. 2020;579. 9. Coudray N, Ocampo PS, Sakellaropoulos T, Narula N, Snuderl M, Fenyö D, et al. Classification and mutation prediction from non–small cell lung cancer histopathology images using Deep Learning. Nature Medicine. 2018;24(10):1559–67. 10. Akbar S, Peikari M, Salama S, Panah AY, Nofech-Mozes S, Martel AL. Automated and manual quantification of tumour cellularity in digital slides for tumour burden assessment. Scientific Reports. 2019;9(1). 11. Liang G, Fan W, Luo H, Zhu X. The emerging roles of artificial intelligence in cancer drug development and precision therapy. Biomed Pharmacother. 2020;128(110255): 110255. 12. Carter SM, Rogers W, Win KT, Frazer H, Richards B, Houssami N. The ethical, legal and social implications of using artificial intelligence systems in breast cancer care. The Breast. 2020;1(49): 25-32.