Driving Knowledge to Action: Building a Better Future With Artificial Intelligence–Enabled Multidisciplinary Oncology DOI
Arturo Loaiza‐Bonilla, Nikhil G. Thaker, Caroline Chung

et al.

American Society of Clinical Oncology Educational Book, Journal Year: 2025, Volume and Issue: 45(3)

Published: May 2, 2025

Artificial intelligence (AI) is transforming multidisciplinary oncology at an unprecedented pace, redefining how clinicians detect, classify, and treat cancer. From earlier more accurate diagnoses to personalized treatment planning, AI's impact evident across radiology, pathology, radiation oncology, medical oncology. By leveraging vast diverse data—including imaging, genomic, clinical, real-world evidence—AI algorithms can uncover complex patterns, accelerate drug discovery, help identify optimal regimens for each patient. However, realizing the full potential of AI also necessitates addressing concerns regarding data quality, algorithmic bias, explainability, privacy, regulatory oversight—especially in low- middle-income countries (LMICs), where disparities cancer care are particularly pronounced. This study provides a comprehensive overview reshaping care, reviews its benefits challenges, outlines ethical policy implications line with ASCO's 2025 theme, Driving Knowledge Action. We offer concrete calls action clinicians, researchers, industry stakeholders, policymakers ensure that AI-driven, patient-centric accessible, equitable, sustainable worldwide.

Language: Английский

Artificial Intelligence in the Oncology Residency Training Curriculum DOI

Ana Romero-Alfaro

European Journal of Cancer, Journal Year: 2025, Volume and Issue: unknown, P. 115407 - 115407

Published: April 1, 2025

Language: Английский

Citations

0
Driving Knowledge to Action: Building a Better Future With Artificial Intelligence–Enabled Multidisciplinary Oncology DOI
Arturo Loaiza‐Bonilla, Nikhil G. Thaker, Caroline Chung

et al.

American Society of Clinical Oncology Educational Book, Journal Year: 2025, Volume and Issue: 45(3)

Published: May 2, 2025

Artificial intelligence (AI) is transforming multidisciplinary oncology at an unprecedented pace, redefining how clinicians detect, classify, and treat cancer. From earlier more accurate diagnoses to personalized treatment planning, AI's impact evident across radiology, pathology, radiation oncology, medical oncology. By leveraging vast diverse data—including imaging, genomic, clinical, real-world evidence—AI algorithms can uncover complex patterns, accelerate drug discovery, help identify optimal regimens for each patient. However, realizing the full potential of AI also necessitates addressing concerns regarding data quality, algorithmic bias, explainability, privacy, regulatory oversight—especially in low- middle-income countries (LMICs), where disparities cancer care are particularly pronounced. This study provides a comprehensive overview reshaping care, reviews its benefits challenges, outlines ethical policy implications line with ASCO's 2025 theme, Driving Knowledge Action. We offer concrete calls action clinicians, researchers, industry stakeholders, policymakers ensure that AI-driven, patient-centric accessible, equitable, sustainable worldwide.

Language: Английский

Citations

0