Digital pathology implementation in cancer diagnostics: towards informed decision-making
- PMID: 38873358
- PMCID: PMC11169727
- DOI: 10.3389/fdgth.2024.1358305
Digital pathology implementation in cancer diagnostics: towards informed decision-making
Abstract
Digital pathology (DP) has become a part of the cancer healthcare system, creating additional value for cancer patients. DP implementation in clinical practice provides plenty of benefits but also harbors hidden ethical challenges affecting physician-patient relationships. This paper addresses the ethical obligation to transform the physician-patient relationship for informed and responsible decision-making when using artificial intelligence (AI)-based tools for cancer diagnostics. DP application allows to improve the performance of the Human-AI Team shifting focus from AI challenges towards the Augmented Human Intelligence (AHI) benefits. AHI enhances analytical sensitivity and empowers pathologists to deliver accurate diagnoses and assess predictive biomarkers for further personalized treatment of cancer patients. At the same time, patients' right to know about using AI tools, their accuracy, strengths and limitations, measures for privacy protection, acceptance of privacy concerns and legal protection defines the duty of physicians to provide the relevant information about AHI-based solutions to patients and the community for building transparency, understanding and trust, respecting patients' autonomy and empowering informed decision-making in oncology.
Keywords: Augmented Human Intelligence; bioethics; digital pathology; informed consent; physician-patient relationship.
© 2024 Sulaieva, Dudin, Koshyk, Panko and Kobyliak.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Similar articles
-
Artificial Intelligence and Decision-Making in Oncology: A Review of Ethical, Legal, and Informed Consent Challenges.Curr Oncol Rep. 2025 Jun 17. doi: 10.1007/s11912-025-01698-8. Online ahead of print. Curr Oncol Rep. 2025. PMID: 40526332 Review.
-
Empowering health care consumers & understanding patients' perspectives on AI integration in oncology and surgery: A perspective.Health Sci Rep. 2024 Jul 23;7(7):e2268. doi: 10.1002/hsr2.2268. eCollection 2024 Jul. Health Sci Rep. 2024. PMID: 39050906 Free PMC article.
-
Digital Natives' Preferences on Mobile Artificial Intelligence Apps for Skin Cancer Diagnostics: Survey Study.JMIR Mhealth Uhealth. 2021 Aug 27;9(8):e22909. doi: 10.2196/22909. JMIR Mhealth Uhealth. 2021. PMID: 34448722 Free PMC article.
-
Revolutionizing healthcare: the role of artificial intelligence in clinical practice.BMC Med Educ. 2023 Sep 22;23(1):689. doi: 10.1186/s12909-023-04698-z. BMC Med Educ. 2023. PMID: 37740191 Free PMC article. Review.
-
[The origin of informed consent].Acta Otorhinolaryngol Ital. 2005 Oct;25(5):312-27. Acta Otorhinolaryngol Ital. 2005. PMID: 16602332 Italian.
Cited by
-
Fogarty-Funded Research Ethics Training Programs in Eastern Europe.J Empir Res Hum Res Ethics. 2025 Apr 13:15562646251332709. doi: 10.1177/15562646251332709. Online ahead of print. J Empir Res Hum Res Ethics. 2025. PMID: 40221988 Free PMC article.
-
Ethical principles across countries: does 'ethical' mean the same everywhere?Front Public Health. 2025 Jun 11;13:1579778. doi: 10.3389/fpubh.2025.1579778. eCollection 2025. Front Public Health. 2025. PMID: 40567956 Free PMC article. Review.
-
Digital Pathology Tailored for Assessment of Liver Biopsies.Biomedicines. 2025 Apr 1;13(4):846. doi: 10.3390/biomedicines13040846. Biomedicines. 2025. PMID: 40299404 Free PMC article.
References
-
- OECD iLibrary. Collective action for responsible AI in health. OECD Artificial Intelligence Papers. Available online at: https://www.oecd-ilibrary.org/science-and-technology/collective-action-f... (accessed May 6, 2024).
Publication types
LinkOut - more resources
Full Text Sources