Valerio Nardone, Federica Marmorino, Marco Maria Germani, Natalia Cichowska-Cwalińska, 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
{"title":"The Role of Artificial Intelligence on Tumor Boards: Perspectives from Surgeons, Medical Oncologists and Radiation Oncologists","authors":"Valerio Nardone, Federica Marmorino, Marco Maria Germani, Natalia Cichowska-Cwalińska, 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","doi":"10.3390/curroncol31090369","DOIUrl":null,"url":null,"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.","PeriodicalId":11012,"journal":{"name":"Current oncology","volume":null,"pages":null},"PeriodicalIF":2.8000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3390/curroncol31090369","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Current Oncology is a peer-reviewed, Canadian-based and internationally respected journal. Current Oncology represents a multidisciplinary medium encompassing health care workers in the field of cancer therapy in Canada to report upon and to review progress in the management of this disease.
We encourage submissions from all fields of cancer medicine, including radiation oncology, surgical oncology, medical oncology, pediatric oncology, pathology, and cancer rehabilitation and survivorship. Articles published in the journal typically contain information that is relevant directly to clinical oncology practice, and have clear potential for application to the current or future practice of cancer medicine.