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Artificial intelligence across oncology specialties: current applications and emerging tools
11
Zitationen
9
Autoren
2024
Jahr
Abstract
Oncology is becoming increasingly personalised through advancements in precision in diagnostics and therapeutics, with more and more data available on both ends to create individualised plans. The depth and breadth of data are outpacing our natural ability to interpret it. Artificial intelligence (AI) provides a solution to ingest and digest this data deluge to improve detection, prediction and skill development. In this review, we provide multidisciplinary perspectives on oncology applications touched by AI-imaging, pathology, patient triage, radiotherapy, genomics-driven therapy and surgery-and integration with existing tools-natural language processing, digital twins and clinical informatics.
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Autoren
Institutionen
- University of Washington(US)
- Duke University(US)
- Brigham and Women's Hospital(US)
- Dana-Farber Cancer Institute(US)
- University of Toronto(CA)
- Garvan Institute of Medical Research(AU)
- UNSW Sydney(AU)
- Cooperative Trials Group for Neuro-Oncology(AU)
- St Vincent's Clinic(AU)
- National Health and Medical Research Council(AU)
- University of Leicester(GB)
- Microsoft (United States)(US)
- University of South Florida(US)