Correction: The data scientist as a mainstay of the tumor board: global implications and opportunities for the global south
Year: 2026
Type: erratum
Abstract: Correction on: Tan MJT, Lichlyter DA, Maravilla NMAT, Schrock WJ, Ting FIL, Choa-Go JM, Francisco KK, Byers MC, Abdul Karim H and AlDahoul N (2025) The data scientist as a mainstay of the tumor board: global implications and opportunities for the global south. Front. Digit. Health 7:1535018. doi: 10.3389/fdgth.2025.1535018The following corrections have been made to the published article:1. "Al" was corrected to "AI" in 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:Original text:"Al is a promising innovation in medical imaging, with applications ranging from image acquisition and processing to reporting, follow-up planning, and data management.""AI is a promising innovation in medical imaging, with applications ranging from image acquisition and processing to reporting, follow-up planning, and data management."2. "United States Academy International Development" was corrected to "United States Agency for International Development" in 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:Original text:"Moreover, the United States Academy 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).""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)."3. The word "foundational" was corrected to "foundation" in the title of subsection 4.7 Why a data scientist who stays current with foundational models is invaluable Original text:"Why a data scientist who stays current with foundational models is invaluable""Why a data scientist who stays current with foundation models is invaluable"4. The closing parenthesis was removed after the word "decisions" in section 4 Transdisciplinarity for improved patient care: the future of cancer treatment, 4.7 Why a data scientist who stays current with foundational models is invaluable, first paragraph:Original text:"Data scientists who are familiar with the latest models-such as GPT, BERT, PaLM, and GNNscan integrate insights from clinical, genomic, and lifestyle datasets to inform the tumor board's decisions)."Corrected text:"Data scientists who are familiar with the latest models-such as GPT, BERT, PaLM, and GNNscan integrate insights from clinical, genomic, and lifestyle datasets to inform the tumor board's decisions."5. The word "arised" was corrected to "arisen" in section 5 Overcoming barriers to data science integration in the global south, 5.1 Identifying key barriers, 5.1.4 Risks of overreliance on AI, first paragraph:Original text:"Thus, skepticisms may have arised from limited understanding and data privacy concerns (119).""Thus, skepticisms may have arisen from limited understanding and data privacy concerns (119)."6. "Like in" and ", they" were deleted, and "fictional" was inserted before "story" in 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:Original text:"Like in many medical schools, they present a story about a woman who visits her doctor to receive her biopsy results.""Many medical schools present a fictional story about a woman who visits her doctor to receive her biopsy results."
Source: Frontiers in Digital Health
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,077
OpenAlex ID: W7126178137
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