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Application of Artificial Intelligence in Symptom Monitoring in Adult Cancer Survivorship: A Systematic Review
11
Zitationen
28
Autoren
2024
Jahr
Abstract
AI is being used to enhance symptom monitoring in various cancer settings. When considering integration into clinical practice, standardization of data capture, the use of analytics, investing in infrastructure, and the end-user experience should be considered for successful implementation and monitoring the improvement of patient outcomes.
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Autoren
- Sanam Tabataba Vakili
- Darren Haywood
- Deborah Walker
- Aalaa Abdou
- Ragisha Gopalakrishnan
- Sarina Sadeghi
- Helena Karolyne Arruda Guedes
- Chia Jie Tan
- Carla Thamm
- Rhys Bernard
- Henry C. Y. Wong
- Elaine P. Kuhn
- Jennifer Kwan
- Shing Fung Lee
- Nicolas H. Hart
- Catherine F Paterson
- Deepti Chopra
- Amanda Drury
- Elwyn Zhang
- Shayan Raeisi Dehkordi
- Fredrick D. Ashbury
- Grigorios Kotronoulas
- Edward Chow
- Michael Jefford
- Raymond J. Chan
- Rouhi Fazelzad
- Srinivas Raman
- Muna Alkhaifi
Institutionen
- Sunnybrook Health Science Centre(CA)
- University of Technology Sydney(AU)
- Edith Cowan University(AU)
- La Trobe University(AU)
- Ministry of Health and Population(EG)
- Columbia University Irving Medical Center(US)
- Mount Sinai Medical Center(US)
- Administração Regional de Saúde de Lisboa e Vale do Tejo(PT)
- University of Utah(US)
- Flinders University(AU)
- McMaster University(CA)
- Hospital Authority(CN)
- Dartmouth College(US)
- Dartmouth–Hitchcock Medical Center(US)
- University of Toronto(CA)
- National University Cancer Institute, Singapore(SG)
- National University Hospital(SG)
- The University of Texas MD Anderson Cancer Center(US)
- Dublin City University(IE)
- Queen's University(CA)
- The Ohio State University(US)
- University of Calgary(CA)
- University of Glasgow(GB)
- Peter MacCallum Cancer Centre(AU)
- Princess Margaret Cancer Centre(CA)
- University Health Network(CA)