CONCERNS OF AUTONOMOUS AI IN MEDICAL IMAGING

As AI systems are developed and approved in the wider medical imaging space, challenges including but not limited to regulatory, privacy and ethical concerns will start to surface

- Inderpreet Kambo & Jaskarn Singh

Intelligent and autonomous algorithms are making long strides to make clinical and workflow improvements in medicine. And when we look deep within healthcare, one of the most promising areas of innovation is in the application of Artificial Intelligence (AI) in radiology and medical imaging. Over the past few years, there has been a rapid surge in AI adoption and automated algorithms within the healthcare and life science realm. While AI is on the path of maturing into a reliable, robust, and stable technology, many opponents caution against it, claiming society is far from using it as a part of the mainstream healthcare for providing and delivering care to the patients.

Radiology and medical imaging like other branches of medicine require a comprehensive medical context before the patients’ medical state could be accurately evaluated. AI and advanced computer-aided diagnosis have always been welcomed in the field of medicine as it has supported the physicians in clinical support, smart review of the medical literature, more discrete real-world outcome data points- ultimately leading physicians and care delivery team to dedicate more time to the actual treatment and delivery of care. However, lately, there has been a rather steep uptake in autonomous detection with minimal to no physician intervention, making the nascent technology come under the spotlight.