Artificial intelligence (AI) is poised to transform radiology and patient care, according to Harsha Chadaga, Head of Radiology at Manipal Hospitals Radiology Group, Bengaluru. 

Speaking at the national conference organised by Ramachandra Imaging Technology Education, Dr. Chadaga highlighted AI’s potential to improve radiology workflows, from image acquisition to diagnosis and treatment prognosis, said a press release.

Dr. Chadaga said AI could address key challenges in the field, such as the growing volume of medical images, human errors due to fatigue, and the demand for faster, more accurate diagnoses. However, he also pointed out the potential drawbacks, including high costs, job displacement concerns, environmental impact, and security risks from hacking.

In his inaugural address, T.S. Swaminathan, head of radiology at Kamakshi Memorial Hospital, Chennai, praised the crucial role of radiographers in healthcare and their responsibility for producing high-quality images. Uma Sekar, vice-chancellor of Sri Ramachandra Institute of Higher Education and Research (SRIHER), said radiology was now one of the most sought-after courses in allied health sciences.

The event was also attended by K. Balaji Singh, dean of SRIHER, R. Rajeswaran, head of radiology, T. Ramakrishnan, head of allied health sciences, and Sheila Elangovan, organising secretary of the conference.