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Published (Version of record)CC BY-NC-ND V4.0, Open Access
Conference paper
Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review: 2020 Summative Review
Pancreas, Vol.50(3), pp.251-279
2020 AI and Early Detection of Pancreatic Cancer Virtual Summit (virtual, 19/Oct/2020 - 20/Oct/2020)
Mar/2021
PMID: 33835956
Abstract
Despite considerable research efforts, pancreatic cancer is associated with a dire prognosis and a 5-year survival rate of only 10%. Early symptoms of the disease are mostly nonspecific. The premise of improved survival through early detection is that more individuals will benefit from potentially curative treatment. Artificial intelligence (AI) methodology has emerged as a successful tool for risk stratification and identification in general health care. In response to the maturity of AI, Kenner Family Research Fund conducted the 2020 AI and Early Detection of Pancreatic Cancer Virtual Summit (www.pdac-virtualsummit.org) in conjunction with the American Pancreatic Association, with a focus on the potential of AI to advance early detection efforts in this disease. This comprehensive presummit article was prepared based on information provided by each of the interdisciplinary participants on one of the 5 following topics: Progress, Problems, and Prospects for Early Detection; AI and Machine Learning; AI and Pancreatic Cancer—Current Efforts; Collaborative Opportunities; and Moving Forward—Reflections from Government, Industry, and Advocacy. The outcome from the robust Summit conversations, to be presented in a future white paper, indicate that significant progress must be the result of strategic collaboration among investigators and institutions from multidisciplinary backgrounds, supported by committed funders.
Details
- Title
- Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review; 2020 Summative Review
- Creators
- Barbara Kenner - From theSuresh T Chari - The University of Texas MD Anderson Cancer CenterDavid Kelsen - Edward S. Gordon Chair in Medical OncologyDavid S Klimstra - Memorial Sloan Kettering Cancer CenterStephen J Pandol - Cedars-Sinai Medical CenterMichael Rosenthal - Dana-Farber Cancer InstituteAnil K Rustgi - Columbia University Irving Medical CenterJames A Taylor - 972WIS_INST___GOOGLE_HEALTH_UNITED_STATES_SEATTLEAdam Yala - Department of Electrical Engineering and Computer ScienceNoura Abul-Husn - Division of Genomic Medicine, Department of Medicine, Icahn School of Medicine, Mount Sinai, New York, NYDana K Andersen - National Institute of Diabetes and Digestive and Kidney DiseasesDavid Bernstein - Stand Up To Cancer, New York, NYSøren Brunak - Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, DenmarkMarcia Irene Canto - Division of Gastroenterology, Johns Hopkins University School of Medicine, Baltimore, MDYonina C Eldar - Department of Math and Computer Science, Weizmann Institute of Science, Rehovot, IsraelElliot K Fishman - Department of Radiology and Radiological Science, Johns Hopkins Medicine, Baltimore, MDJulie Fleshman - Pancreatic Cancer Action NetworkVay Liang W Go - UCLA Center for Excellence in Pancreatic Diseases, University of California, Los Angeles, Los Angeles, CAJane M Holt - National Pancreas Foundation, Bethesda, MDBruce Field - From theAnn Goldberg - From theWilliam Hoos - 1440 Foundation, Chapel Hill, NCChristine Iacobuzio-Donahue - David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NYDebiao Li - Biomedical Research Institute, Cedars-Sinai Medical Center, Los Angeles, CAGraham Lidgard - Exact Sciences, Madison, WIAnirban Maitra - Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TXLynn M Matrisian - Pancreatic Cancer Action Network, Manhattan BeachSung Poblete - Stand Up To Cancer, Los Angeles, CALaura Rothschild - From theChris Sander - Sander Lab, Harvard Medical School, Boston, MALawrence H Schwartz - Department of Radiology, NewYork-Presbyterian Hospital/Columbia University Irving Medical Center, New York, NYUri Shalit - Technion – Israel Institute of TechnologySudhir Srivastava - Division of Cancer Prevention, National Cancer Institute, Bethesda, MDBrian Wolpin - Gastrointestinal Cancer Center, Dana-Farber Cancer Institute, Boston, MA
- Resource Type
- Conference paper
- Publication Details
- Pancreas, Vol.50(3), pp.251-279; Mar/2021
- Number of pages
- 29
- Publisher
- Lippincott Williams & Wilkins
- Language
- English
- DOI
- https://doi.org/10.1097/MPA.0000000000001762
- PMID
- 33835956
- Conference
- 2020 AI and Early Detection of Pancreatic Cancer Virtual Summit (virtual, 19/Oct/2020 - 20/Oct/2020)
- Grant note
- This article was prepared for the AI and Early Detection of Pancreatic Cancer 2020 Virtual Summit through the support of Kenner Family Research Fund.
- Record Identifier
- 993271449503596
Metrics
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