Artificial Intelligence in Oncology
Search for other papers by David Liebovitz in
Current site
Google Scholar
PubMed
Search for other papers by Randa M. Perkins in
Current site
Google Scholar
PubMed
Search for other papers by Irbaz Riaz in
Current site
Google Scholar
PubMed
Search for other papers by Peter D. Stetson in
Current site
Google Scholar
PubMed
A panel of experts in artificial intelligence (AI) and clinical informatics discussed the current applications and future potential of AI in oncology. The panelists shared insights into ongoing AI projects at their respective institutions, ranging from drug design and patient education to clinical decision support and administrative tasks. Key areas of focus included the use of AI for radiology and pathology, ambient listening during patient visits, and patient engagement through intelligent interfaces. The speakers also addressed the challenges of regulatory oversight, data quality, and the need for ethical and responsible AI design. The panel concluded that although AI has the potential to transform various aspects of oncology care, careful consideration must be given to patient preferences, clinical workflows, and validation of AI models in oncology-specific settings.
Disclosures: The presenters have disclosed no relevant financial relationships.
© 2019-2024 National Comprehensive Cancer Network