Boini A, Grasso V, Taher H, Gumbs AA. Artificial intelligence and the impact of multiomics on the reporting of case reports. World J Clin Cases 2025; 13(15): 101188 [DOI: 10.12998/wjcc.v13.i15.101188]
Corresponding Author of This Article
Andrew A Gumbs, MD, Department of Minimally Invasive Digestive Surgery, Hospital Antoine Beclère, Assistance Publique-Hospitals of Paris, No. 157 Rue de la Porte de Trivaux, Clamart 92140, France. aagumbs@gmail.com
Research Domain of This Article
Surgery
Article-Type of This Article
Editorial
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Clin Cases. May 26, 2025; 13(15): 101188 Published online May 26, 2025. doi: 10.12998/wjcc.v13.i15.101188
Artificial intelligence and the impact of multiomics on the reporting of case reports
Aishwarya Boini, Vincent Grasso, Heba Taher, Andrew A Gumbs
Aishwarya Boini, Davao Medical School Foundation, Davao Medical School Foundation, Davao 8000, Philippines
Vincent Grasso, Department of Computer Engineering, Department of Electrical and Computer Engineering University of New Mexico, Albuquerque, NM 87106, United States
Heba Taher, Department of Pediatric Surgery, Cairo University Hospital, Cairo 11441, Egypt
Andrew A Gumbs, Department of Minimally Invasive Digestive Surgery, Hospital Antoine Beclère, Assistance Publique-Hospitals of Paris, Clamart 92140, France
Andrew A Gumbs, Department of Surgery, University of Magdeburg, Magdeburg 39130, Saxony-Anhalt, Germany
Author contributions: Boini A, Grasso V, and Gumbs AA contributed to the drafting the manuscript; Gumbs AA contributed to the conceptualization of the manuscript; Boini A, Grasso V, Taher H, and Gumbs AA edited the manuscript; and all authors thoroughly reviewed and endorsed the final manuscript.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Andrew A Gumbs, MD, Department of Minimally Invasive Digestive Surgery, Hospital Antoine Beclère, Assistance Publique-Hospitals of Paris, No. 157 Rue de la Porte de Trivaux, Clamart 92140, France. aagumbs@gmail.com
Received: September 6, 2024 Revised: December 31, 2024 Accepted: January 11, 2025 Published online: May 26, 2025 Processing time: 136 Days and 16.5 Hours
Abstract
The integration of artificial intelligence (AI) and multiomics has transformed clinical and life sciences, enabling precision medicine and redefining disease understanding. Scientific publications grew significantly from 2.1 million in 2012 to 3.3 million in 2022, with AI research tripling during this period. Multiomics fields, including genomics and proteomics, also advanced, exemplified by the Human Proteome Project achieving a 90% complete blueprint by 2021. This growth highlights opportunities and challenges in integrating AI and multiomics into clinical reporting. A review of studies and case reports was conducted to evaluate AI and multiomics integration. Key areas analyzed included diagnostic accuracy, predictive modeling, and personalized treatment approaches driven by AI tools. Case examples were studied to assess impacts on clinical decision-making. AI and multiomics enhanced data integration, predictive insights, and treatment personalization. Fields like radiomics, genomics, and proteomics improved diagnostics and guided therapy. For instance, the “AI radiomics, genomics, oncopathomics, and surgomics project” combined radiomics and genomics for surgical decision-making, enabling preoperative, intraoperative, and postoperative interventions. AI applications in case reports predicted conditions like postoperative delirium and monitored cancer progression using genomic and imaging data. AI and multiomics enable standardized data analysis, dynamic updates, and predictive modeling in case reports. Traditional reports often lack objectivity, but AI enhances reproducibility and decision-making by processing large datasets. Challenges include data standardization, biases, and ethical concerns. Overcoming these barriers is vital for optimizing AI applications and advancing personalized medicine. AI and multiomics integration is revolutionizing clinical research and practice. Standardizing data reporting and addressing challenges in ethics and data quality will unlock their full potential. Emphasizing collaboration and transparency is essential for leveraging these tools to improve patient care and scientific communication.
Core Tip: The integration of artificial intelligence with multiomics is redefining case reporting by enabling comprehensive molecular profiling, predictive analytics, and real-time updates. Artificial intelligence-driven analysis of genomics, proteomics, and metabolomics enhances diagnostic precision, treatment personalization, and disease prediction. This transformative approach addresses limitations of traditional case reports by standardizing data interpretation and uncovering actionable insights. Despite challenges like data integration and ethical concerns, this paradigm shift is set to revolutionize case reporting, paving the way for precision medicine and improved patient outcomes.
