The following corrections have been made to the published article:
“Al” was corrected to “AI”. A correction has been made to the section 2 Global perspective: the role of data scientists in tumor boards, 2.4 Challenges of integrating data science into medical practice on a global scale, first paragraph:
“AI is a promising innovation in medical imaging, with applications ranging from image acquisition and processing to reporting, follow-up planning, and data management.”
“United States Academy International Development” was corrected to “United States Agency for International Development”. A correction has been made to the section 3 The case for the global south: maximizing the impact of data scientists, 3.2. Leveraging AI and machine learning: how data scientists can address disparities and improve early diagnosis and treatment, second paragraph:
“Moreover, the United States Agency for International Development (USAID) has already been making efforts to address the gap by identifying the challenges to large-scale AI implementation in LMICs and highlighting the actions that can most effectively promote the appropriate use of AI to enhance health outcomes in these settings (36).”
The word “foundational” was corrected to “foundation”. A correction has been made to the title of subsection 4.7 Why a data scientist who stays current with foundational models is invaluable:
“4.7 Why a data scientist who stays current with foundation models is invaluable”
A closing parenthesis was erroneously included after the word “decisions”. A correction has been made to the section 4 Transdisciplinarity for improved patient care: the future of cancer treatment, 4.7 Why a data scientist who stays current with foundation models is invaluable, first paragraph:
“Data scientists who are familiar with the latest models—such as GPT, BERT, PaLM, and GNNs—can integrate insights from clinical, genomic, and lifestyle datasets to inform the tumor board's decisions.”
The word “arised” should have read “arisen”. A correction has been made to the section 5 Overcoming barriers to data science integration in the global south, 5.1 Identifying key barriers, 5.1.4 Risks of over-reliance on AI, first paragraph:
“Thus, skepticisms may have arisen from limited understanding and data privacy concerns (119).”
The words “Like in” and “, they” were removed, the word “fictional” was inserted before “story”. A correction has been made to the section 5 Overcoming barriers to data science integration in the global south, 5.1 Identifying key barriers, 5.1.4 Risks of over-reliance on AI, second paragraph:
“Many medical schools present a fictional story about a woman who visits her doctor to receive her biopsy results.”
The reference for 36 was erroneously written as “United States Academy International Development. Artificial intelligence in global health: defining a collective path forward. United States Academy International Development (2022). Available online at: https://www.usaid.gov/sites/default/files/2022-05/AI-in-Global-Health_webFinal_508.pdf (Accessed on: December 12, 2024”. It should be “United States Agency for International Development. Artificial Intelligence in Global Health: Defining a Collective Path Forward. United States Agency for International Development (2022). Available online at: https://digital.library.unt.edu/ark:/67531/metadc2289561/ (accessed December 12, 2024)”.
The original version of this article has been updated.
Statements
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
cancer care, data science, global south, low- and middle-income countries, medical artificial intelligence, personalized medicine, tumor board, transdisciplinarity
Citation
Tan MJT, Lichlyter DA, Maravilla NMAT, Schrock WJ, Ting FIL, Choa-Go JM, Francisco KK, Byers MC, Abdul Karim H and AlDahoul N (2026) Correction: The data scientist as a mainstay of the tumor board: global implications and opportunities for the global south. Front. Digit. Health 8:1775230. doi: 10.3389/fdgth.2026.1775230
Received
25 December 2025
Accepted
14 January 2026
Published
30 January 2026
Volume
8 - 2026
Edited and reviewed by
Yiannis Kyratsis, Erasmus University Rotterdam, Netherlands
Updates
Copyright
© 2026 Tan, Lichlyter, Maravilla, Schrock, Ting, Choa-Go, Francisco, Byers, Abdul Karim and AlDahoul.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Myles Joshua Toledo Tan mylesjoshua.tan@medicine.ufl.edu Hezerul Abdul Karim hezerul@mmu.edu.my
† These authors have contributed equally to this work
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.