
A Review on Navigating Ethical Challenges in Modern Radiology: Balancing Artificial Intelligence Integration and Patient Privacy
TE01-TE04
Correspondence
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.