The Role of Artificial Intelligence on Tumor Boards: Perspectives from Surgeons, Medical Oncologists and Radiation Oncologists.
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...
| Publicado en: | Current Oncology Vol. 31; no. 9; pp. 4984 - 5008 |
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| Autores principales: | , , , , , , , , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
MDPI
Sep2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=179965614&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 179965614 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11980052 5EKK jtl: Current Oncology issn: 11980052 maglogo: N pubinfo: dt: Sep2024 vid: 31 iid: 9 pid: 97109 pub: MDPI artinfo: ui: 179965614 10.3390/curroncol31090369 179965614 ppf: 4984 ppct: 24 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: The Role of Artificial Intelligence on Tumor Boards: Perspectives from Surgeons, Medical Oncologists and Radiation Oncologists. aug: au: Nardone, Valerio Marmorino, Federica Germani, Marco Maria Cichowska-Cwalińska, Natalia Menditti, Vittorio Salvatore Gallo, Paolo Studiale, Vittorio Taravella, Ada Landi, Matteo Reginelli, Alfonso Cappabianca, Salvatore Girnyi, Sergii Cwalinski, Tomasz Boccardi, Virginia Goyal, Aman Skokowski, Jaroslaw Oviedo, Rodolfo J. Abou-Mrad, Adel Marano, Luigi affil: Department of Precision Medicine, University of Campania "L. Vanvitelli", 80131 Naples, Italy sug: ab: 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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