Shing Fung Lee: The growing role of AI in symptom monitoring for adult cancer survivors
Shing Fung Lee, Radiation Oncologist at NUHS, Singapore, posted on LinkedIn about recent paper by him as co-author, titled “Application of Artificial Intelligence in Symptom Monitoring in Adult Cancer Survivorship: A Systematic Review” published on JCO Clinical Cancer Informatics.
Authors: Sanam Tabataba Vakili, Darren Haywood, Deborah Kirk, Aalaa M. Abdou, Ragisha Gopalakrishnan, Sarina Sadeghi, Helena Guedes, Chia Jie Tan, Carla Thamm, Rhys Bernard, Henry C.Y. Wong, Elaine P. Kuhn, Jennifer Y.Y. Kwan, Shing Fung Lee, Nicolas H. Hart, Catherine Paterson, Deepti A. 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.
“Excited to share our latest publication in JCO Clinical Cancer Informatics! Our systematic review explores the growing role of artificial intelligence (AI) in symptom monitoring for adult cancer survivors. AI’s potential to personalize care is evident, with applications ranging from machine learning algorithms to AI-driven chatbots for tracking symptoms like pain, fatigue, and nausea.
This collaborative effort highlights the importance of standardizing data, improving infrastructure, and focusing on end-user experience to integrate AI into clinical practice effectively.
A big thank you to my co-authors and collaborators for this impactful work. Let’s continue advancing personalized cancer care!”
-
ESMO 2024 Congress
September 13-17, 2024
-
ASCO Annual Meeting
May 30 - June 4, 2024
-
Yvonne Award 2024
May 31, 2024
-
OncoThon 2024, Online
Feb. 15, 2024
-
Global Summit on War & Cancer 2023, Online
Dec. 14-16, 2023