The Role of Artificial Intelligence on Tumor Boards: Perspectives from Surgeons, Medical Oncologists and Radiation Oncologists

Overview

Journal Curr Oncol

Publisher MDPI

Specialty Oncology

Date 2024 Sep 27

PMID 39329997

Authors

Valerio Nardone

Federica Marmorino

Marco Maria Germani

Natalia Cichowska-Cwalinska

Vittorio Salvatore Menditti

Paolo Gallo

Vittorio Studiale

Ada Taravella

Matteo Landi

Alfonso Reginelli

Salvatore Cappabianca

Sergii Girnyi

Tomasz Cwalinski

Virginia Boccardi

Aman Goyal

Jaroslaw Skokowski

Rodolfo J Oviedo

Adel Abou-Mrad

Luigi Marano

Affiliations

Soon will be listed here.

Abstract

The integration of multidisciplinary tumor boards (MTBs) is fundamental in delivering state-of-the-art cancer treatment, facilitating collaborative diagnosis and management by a diverse team of specialists. Despite the clear benefits in personalized patient care and improved outcomes, the increasing burden on MTBs due to rising cancer incidence and financial constraints necessitates innovative solutions. The advent of artificial intelligence (AI) in the medical field offers a promising avenue to support clinical decision-making. This review explores the perspectives of clinicians dedicated to the care of cancer patients-surgeons, medical oncologists, and radiation oncologists-on the application of AI within MTBs. Additionally, it examines the role of AI across various clinical specialties involved in cancer diagnosis and treatment. By analyzing both the potential and the challenges, this study underscores how AI can enhance multidisciplinary discussions and optimize treatment plans. The findings highlight the transformative role that AI may play in refining oncology care and sustaining the efficacy of MTBs amidst growing clinical demands.

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