
A Review on Navigating Ethical Challenges in Modern Radiology: Balancing Artificial Intelligence Integration and Patient Privacy
Correspondence Address :
Saraswathula Bharadwaj,
Ragobaji PG Hostel, Jawaharlal Nehru Medical College, Sawangi, Wardha-442001, Maharashtra, India.
E-mail: slgvrbharadwaj@gmail.com
Artificial Intelligence (AI) in modern radiology has increased efficiency and accuracy, but it has also raised ethical questions regarding privacy and equitable healthcare delivery. AI systems rely on enormous databases containing sensitive information, making it crucial to ensure data anonymisation and compliance to maintain patient confidentiality. Nonetheless, genuine anonymisation remains challenging, especially with the rising complexity of data reidentification tools. Furthermore, AI systems may unintentionally perpetuate biases present in training datasets, raising concerns about the fairness and veracity of diagnostic results. The opacity and interpretability of AI models hamper ethical decision-making. The present review emphasises the importance of a multidisciplinary approach to addressing these ethical challenges, urging collaboration among radiologists, ethicists, technologists, and lawmakers. Strategies like robust regulatory frameworks, ongoing education, and the development of explainable AI systems are essential for ensuring the responsible integration of AI. By combining innovation with ethical responsibility, radiology can realise AI’s transformative potential while prioritising patient-centred care.
Algorithmic bias, Governance frameworks, Healthcare ethics
DOI: 10.7860/JCDR/2025/75655.21095
Date of Submission: Sep 16, 2024
Date of Peer Review: Nov 15, 2024
Date of Acceptance: Feb 24, 2025
Date of Publishing: Jun 01, 2025
AUTHOR DECLARATION:
• Financial or Other Competing Interests: None
• Was informed consent obtained from the subjects involved in the study? NA
• For any images presented appropriate consent has been obtained from the subjects. NA
PLAGIARISM CHECKING METHODS:
• Plagiarism X-checker: Sep 20, 2024
• Manual Googling: Feb 20, 2025
• iThenticate Software: Feb 22, 2025 (15%)
ETYMOLOGY: Author Origin
EMENDATIONS: 7
- Emerging Sources Citation Index (Web of Science, thomsonreuters)
- Index Copernicus ICV 2017: 134.54
- Academic Search Complete Database
- Directory of Open Access Journals (DOAJ)
- Embase
- EBSCOhost
- Google Scholar
- HINARI Access to Research in Health Programme
- Indian Science Abstracts (ISA)
- Journal seek Database
- Popline (reproductive health literature)
- www.omnimedicalsearch.com