One of the most crucial elements of the healthcare sector is medical imaging. Doctors and Radiologists around the world utilize imaging such as CT (Computed Tomography), MRI (Magnetic Resonance Imaging) and Ultrasound daily to collect vital information about their patients, enabling them to make correct diagnoses and treatment plans in critical situations. (1)

In recent decades, advances in medical imaging machines have revolutionized humanity’s ability to gather information about the inner workings of the human body (2). With access to this important information, medical professionals have been able to detect anomalies and provide better care to their patients at much earlier stages than ever before.

Whilst scans are valuable in content, they do not come without their challenges. A single scan can contain hundreds of individual images, with crucial patient data hidden in grayscale (3). The interpretation of such images requires a high level of expertise, and still the correct processing and analysis of the materials takes time. 

In many societies, this has led to long patient wait times, even backlogs of imaging (4). It also doesn’t help that, for example, cardiovascular diseases (diagnosed with medical imaging) show ever-increasing numbers in the statistics (5).