A massive change among healthcare providers to move from traditional pen-and-paper to electronic health records (EHR) has spurred the advent of digital healthcare revolution. The benefit of having patients’ entire health records available in real time, which can be accessed from anywhere, has drastically improved the overall clinical process. However, it has also created a plethora of data that now calls for a greater need for analysis and interpretation. This is where AI comes in and plays a key role. With its deeper branches that include machine learning and deep learning, whose algorithms are based on pattern and data recognition, AI technology has enormous potential in the field of medical imaging. AI can read and review hundreds, even thousands of medical reports and rare case studies from archives; identify patterns and provide a proper diagnosis. AI also enhances the ability of clinicians and doctors to interpret the data needed to care for a patient better and present it in a concise, easily comprehensible format.
For example, AI can read the computed tomography (CT) scan of a particular part of the body, review the report and then by combing through the patient’s history related to the specific anatomy scanned, identify potential problems. Philips Healthcare uses AI in its new Illumeo software to automatically pull in related prior exams of different patients for radiology. Illumeo, with adaptive intelligence, is a clinically intelligent software that is designed to empower radiologists and work for them, by providing the technology and tools that enhance their expertise and efficiency—all within a single workspace. The system is also anatomy-aware and provides relevant tools that help radiologists focus on the diagnosis
In oncology imaging, using AI, automated quantification of a tumor image can also be carried out. This method presents a side-by-side comparison of tumor assessment, significantly reducing the time involved in tracking the assessment and speeds up the workflow.
Medical imaging industry’s paradigm shift toward AI is something to be embraced; its enhanced potential is an essential ingredient for the future of value-based care. AI will be an asset to the radiologists when it comes to workflow and diagnostic efficiency, and an essential tool that fosters a paradigm shift in predictive healthcare.