[SUB EN/FR] Introduction to Artificial Intelligence for Health | Master Course AI4OneHealth скачать в хорошем качестве

[SUB EN/FR] Introduction to Artificial Intelligence for Health | Master Course AI4OneHealth

This video presents an introductory course to artificial intelligence, in particular, to AI approaches for analysis of biomedical data, of the Master Course AI4OneHealth of the University of Grenoble Alps. https://www.masterai4onehealth.eu/ Presented by: Ekaterina Flin, EpiMed group, Institute for Advanced Biosciences (IAB), University of Grenoble Alps (UGA) #artificial_intelligence #healthcare #ai4onehealth Timeline 00:00 Introduction and outline 01:06 Definitions of Intelligence and AI 02:16 History of AI 04:19 Examples of recent AI advances in health 06:50 Challenges of AI in medicine 08:21 Why AI is boosted right now? 09:38 AI, Machine Learning and Deep Learning 11:21 Statistics versus Machine Learning 13:41 Types of machine learning algorithms 16:13 Generalization, underfitting and overfitting 18:41 Use case: diagnosis in breast cancer References McCulloch, W.S., Pitts, W. A logical calculus of the ideas immanent in nervous activity. Bulletin of Mathematical Biophysics 5, 115–133 (1943). https://doi.org/10.1007/BF02478259 David Rumelhart, James L. McClelland, and the PDP Research Group (eds., 1986): Parallel Distributed Processing: explorations in the microstructure of cognition. MIT Press, Cambridge Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard and L. D. Jackel: Backpropagation Applied to Handwritten Zip Code Recognition, Neural Computation, 1(4):541-551, Winter 1989 Cortes, C., Vapnik, V. Support-vector networks. Mach Learn 20, 273–297 (1995). https://doi.org/10.1007/BF00994018 Hinton, G. E. & Roweis, S. T. Stochastic Neighbor Embedding. In Proceedings of Neural Information Processing Systems (NIPS), pages 833-840, 2002. McKinney, S.M., Sieniek, M., Godbole, V. et al. International evaluation of an AI system for breast cancer screening. Nature 577, 89–94 (2020). https://doi.org/10.1038/s41586-019-17... Zeineldin, R.A., Karar, M.E., Coburger, J. et al. DeepSeg: deep neural network framework for automatic brain tumor segmentation using magnetic resonance FLAIR images. Int J CARS 15, 909–920 (2020). https://doi.org/10.1007/s11548-020-02... Gunasekaran H, Ramalakshmi K, Rex Macedo Arokiaraj A, Deepa Kanmani S, Venkatesan C, Suresh Gnana Dhas C. Analysis of DNA Sequence Classification Using CNN and Hybrid Models. Comput Math Methods Med. 2021 Jul 15;2021:1835056. doi: 10.1155/2021/1835056. PMID: 34306171; PMCID: PMC8285202. Lei Xing, Maryellen L. Giger and James K. Min. Artificial Intelligence in Medicine: Technical Basis and Clinical Applications. Academic Press, 2020, ISBN 978-0-12-821259-2. Lidströmer, N., Aresu, F., Ashrafian, H. (2022). Basic Concepts of Artificial Intelligence: Primed for Clinicians. In: Lidströmer, N., Ashrafian, H. (eds) Artificial Intelligence in Medicine. Springer, Cham. https://doi.org/10.1007/978-3-030-645... Lehmann, L.S. (2022). Ethical Challenges of Integrating AI into Healthcare. In: Lidströmer, N., Ashrafian, H. (eds) Artificial Intelligence in Medicine. Springer, Cham. https://doi.org/10.1007/978-3-030-645... Isabel Straw (2020). The automation of bias in medical Artificial Intelligence (AI): Decoding the past to create a better future, Artificial Intelligence in Medicine, Volume 110, 2020, 101965, ISSN 0933-3657, https://doi.org/10.1016/j.artmed.2020.... Corentin Blanc, Alexandre Bailly, Élie Francis, Thierry Guillotin, Fadi Jamal, Béchara Wakim, Pascal Roy, FlauBERT vs. CamemBERT: Understanding patient's answers by a French medical chatbot, Artificial Intelligence in Medicine, Volume 127, 2022, 102264, ISSN 0933-3657, https://doi.org/10.1016/j.artmed.2022.... Yoav Mintz & Ronit Brodie (2019): Introduction to artificial intelligence in medicine, Minimally Invasive Therapy & Allied Technologies, DOI:10.1080/13645706.2019.1575882 Sagar Kulkarni, Nuran Seneviratne, Mirza Shaheer Baig, Ameer Hamid Ahmed Khan, Artificial Intelligence in Medicine: Where Are We Now?, Academic Radiology, Volume 27, Issue 1, 2020, Pages 62-70, ISSN 1076-6332, https://doi.org/10.1016/j.acra.2019.1.... The Cancer Genome Atlas (TCGA) data: https://portal.gdc.cancer.gov FIDLE Course “Introduction to Deep Learning”:    / cnrsformationfidle   Alexander Amini, MIT Course 6.S191 Introduction to Deep Learning :    / zan560