This paper is in the following e-collection/theme issue:

Digital Health Reviews (1289) Artificial Intelligence (1371) Machine Learning (1465) Clinical Information and Decision Making (1407) Reviews (100)

Published on in Vol 24, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39748, first published .
The Impact of Artificial Intelligence on Health Equity in Oncology: Scoping Review

The Impact of Artificial Intelligence on Health Equity in Oncology: Scoping Review

The Impact of Artificial Intelligence on Health Equity in Oncology: Scoping Review

Authors of this article:

Paul Istasy1, 2 Author Orcid Image ;   Wen Shen Lee3 Author Orcid Image ;   Alla Iansavichene4 Author Orcid Image ;   Ross Upshur5, 6 Author Orcid Image ;   Bishal Gyawali7, 8 Author Orcid Image ;   Jacquelyn Burkell9 Author Orcid Image ;   Bekim Sadikovic3 Author Orcid Image ;   Alejandro Lazo-Langner10 Author Orcid Image ;   Benjamin Chin-Yee2, 10, 11 Author Orcid Image
Article Authors Cited by (23) Tweetations (14) Metrics

Journals

  1. Davis M, Lim N, Jordan J, Yee J, Gichoya J, Lee R. Imaging Artificial Intelligence: A Framework for Radiologists to Address Health Equity, From the AJR Special Series on DEI. American Journal of Roentgenology 2023;221(3):302 View
  2. Mali S, Dahivelkar S, Pradeep G. Artificial intelligence in head neck cancer full of potential BUT filled with landmines. Oral Oncology Reports 2023;6:100035 View
  3. Coss N, Gaitán J, Adans-Dester C, Carruthers J, Fanarjian M, Sassano C, Manuel S, Perakslis E. Does clinical research account for diversity in deploying digital health technologies?. npj Digital Medicine 2023;6(1) View
  4. Chen K, Kirchoff K, Butler L, Holloway A, Kapadia M, Kuzmiak C, Downs-Canner S, Spanheimer P, Gallagher K, Gomez S. Analysis of Specimen Mammography with Artificial Intelligence to Predict Margin Status. Annals of Surgical Oncology 2023;30(12):7107 View
  5. Chen K, Goffredo P, Hu D, Joisa C, Guillem J, Gomez S, Kapadia M. Estimating Risk of Locoregional Failure and Overall Survival in Anal Cancer Following Chemoradiation: A Machine Learning Approach. Journal of Gastrointestinal Surgery 2023;27(9):1925 View
  6. Dee E, Ho F, Yee K, Lin V. Survivorship Care for People With Cancer in the Indo-Pacific: The Imperative to Harness Political Determinants, International Exchange, and Technological Innovation. JCO Global Oncology 2023;(9) View
  7. Jeyaraman M, Balaji S, Jeyaraman N, Yadav S. Unraveling the Ethical Enigma: Artificial Intelligence in Healthcare. Cureus 2023 View
  8. S. Alshuhri M, Al-Musawi S, Al-Alwany A, Uinarni H, Rasulova I, Rodrigues P, Alkhafaji A, Alshanberi A, Alawadi A, Abbas A. Artificial intelligence in cancer diagnosis: Opportunities and challenges. Pathology - Research and Practice 2024;253:154996 View
  9. Umer F, Adnan S, Lal A. Research and application of artificial intelligence in dentistry from lower-middle income countries – a scoping review. BMC Oral Health 2024;24(1) View
  10. Kolla L, Parikh R. Uses and limitations of artificial intelligence for oncology. Cancer 2024;130(12):2101 View
  11. Huyghebaert T, Wallner C, Montemurro P. Implementation of a Machine Learning Approach Evaluating Risk Factors for Complications after Single-Stage Augmentation Mastopexy. Aesthetic Plastic Surgery 2024 View
  12. Stokes K, Piaggio D, De Micco F, Zarro M, De Benedictis A, Tambone V, Moon M, Maccaro A, Pecchia L. The Use of Contact Tracing Technologies for Infection Prevention and Control Purposes in Nosocomial Settings: A Systematic Literature Review. Infectious Disease Reports 2024;16(3):519 View
  13. Gwillim E, Azzawi S, Aigen A. Underserved populations and health equity in dermatology: Digital medicine and the role of artificial intelligence. Clinics in Dermatology 2024;42(5):498 View
  14. Awuah W, Aderinto N, Poornaselvan J, Tan J, Shah M, Ashinze P, Pujari A, Bharadwaj H, Abdul‐Rahman T, Atallah O. Empowering health care consumers & understanding patients' perspectives on AI integration in oncology and surgery: A perspective. Health Science Reports 2024;7(7) View
  15. Moncion A, Bryant A, Cardenas C, Dess K, Ditman M, Mayo C, Mierzwa M, Paradis K, Stanley D, Covington E. Quantifying the Risk of Technology-Driven Health Disparities in Radiation Oncology. Practical Radiation Oncology 2024;14(6):e522 View
  16. De Micco F, Tambone V, Frati P, Cingolani M, Scendoni R. Disability 4.0: bioethical considerations on the use of embodied artificial intelligence. Frontiers in Medicine 2024;11 View
  17. Fehrmann R, van Kruchten M, de Vries E. How to critically appraise and direct the trajectory of AI development and application in oncology. ESMO Real World Data and Digital Oncology 2024;5:100066 View
  18. Pham T, Teh M, Chatzopoulou D, Holmes S, Coulthard P. Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions. Current Oncology 2024;31(9):5255 View
  19. Manoel P, Dike I, Anis H, Yassin N, Wojtara M, Uwishema O. Cardiovascular Imaging in the Era of Precision Medicine: Insights from Advanced Technologies – A Narrative Review. Health Science Reports 2024;7(11) View
  20. Singh Y, Patel H, Vera-Garcia D, Hathaway Q, Sarkar D, Quaia E. Beyond the hype: Navigating bias in AI-driven cancer detection. Oncotarget 2024;15(1):764 View
  21. Bukke S, Komarla Kumarachari R, Komarla Rajasekhar E, Dudekula J, Kamati M. Computational intelligence techniques for achieving sustainable development goals in female cancer care. Discover Sustainability 2024;5(1) View

Books/Policy Documents

  1. Durrah O, Aldhmour F, El-Maghraby L, Chakir A. Engineering Applications of Artificial Intelligence. View
  2. Azoury N, Hajj C. The Evolution of Artificial Intelligence in Higher Education. View