Integrating AI and Human Expertise: Exploring the Role of Radiomics in Multidisciplinary Tumor Boards

This review article discusses the relationship between artificial intelligence (AI) and radiomics in oncology decision-making, exploring the fundamentals of AI-powered radiomics, its workflow, and the role of radiomic features. The article also describes the integration of AI in radiology, radiation oncology, and medical oncology, particularly its impact on multidisciplinary tumor board (MDT) decision-making, treatment planning, and predicting treatment responses, prognosis, and disease progression. Additional highlights include the role of machine learning algorithms and their impact on MDT decision-making, as well as challenges and implications of AI-driven radiomics in MDTs regarding ethical, financial, and regulatory aspects.

Upon completing this activity:

1. Clinicians will understand how AI-driven radiomics and advancements in oncology have the potential to personalize treatment, reduce diagnostic variability, and improve treatment plans.

2. Clinicians will be better prepared to enhance MDT decision-making by learning how radiomic analyses can help provide precise, quantitative data for noninvasive, tailored treatments, with combined radiogenomics enhancing predictive accuracy.

Suhana Fatim Shahid¹; Tooba Ali, MBBS²; Agha Muhammad Hammad Khan, MBBS, FCPS³; Nabeel Ashfaque Sheikh, MBBS⁴; Ahmed Nadeem Abbasi, FFR, RCSI²

Affiliations: ¹Medical College, Karachi Medical and Dental College, Karachi, Pakistan; ²Department of Oncology, Section - Radiation Oncology, Aga Khan University Hospital, Karachi, Pakistan; ³Department of Oncology, McGill University, Montreal, Canada; ⁴Department of Medical Oncology, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Karachi, Pakistan.

1. Radiation oncologists

2. Related oncology professionals

None

This activity has been planned and implemented in accordance with the accreditation requirements and policies of the Accreditation Council for Continuing Medical Education (ACCME) through the joint providership of the Institute for Advanced Medical Education (IAME) and Anderson Publishing. IAME is accredited by the ACCME to provide continuing medical education for physicians. IAME designates this activity for a maximum of 1 AMA PRA Category 1 Credit^™ . Physicians should claim only the credit commensurate with the extent of their participation in the activity.

1. Review this article in its entirety.

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The authors disclose no relationships with ineligible companies.

IAME has assessed conflicts of interest with its faculty, authors, editors, and any individuals who were in a position to control the content of this CME activity. Any relevant financial relationships were mitigated with an independent peer review of this activity, and no conflicts or commercial bias were detected. IAME’s planners, content reviewers, and editorial staff disclose no relationships with ineligible entities.