Anh Luu - Department of Radiology
With Artificial Intelligence (AI) advancing, radiology – a heavily technology-based field – is finding ways to incorporate this technology into the field. AI represents a novel solution to acquiring better images and diagnostics tests, potentially improving patient outcomes. Today, AI technology can be found in various facets of radiology, such as molecular imaging and detection computers for cancer. In particular, molecular imaging can greatly help physicians examine the complexities of a patient’s condition on a cellular and molecular level. With such accurate information, AI is an important tool that physicians can use to identify the severity of any disease, cultivate the most effective treatments, and evaluate the progression of the disease which ultimately gives more options and time for the patient and the healthcare team to address the disease effectively.
Taking into account the benefits of AI to radiology, there seems to be a lack of radiologist involvement in developing this technology — instead, data scientists and engineers are pioneering the AI technology for healthcare. These developers commonly lack the healthcare background to effectively implement AI technology in radiology, so radiologists must play a more decisive role in shaping the future of AI within their field. In other words, health professionals should play an active role in the development of medical technology and foresee potential advancements or drawbacks of using AI. Overall, AI technology is rapidly advancing and has the potential to increase the efficiency and effectiveness of healthcare services and to reshape not only radiology but also healthcare and medicine as a whole.
Reference:
Dreaguero. (2022, October 27). What is the future of radiology in the next 20 years? Intelerad. https://www.intelerad.com/en/2022/05/13/what-is-the-future-of-radiology/
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