AI and Machine Learning Transform Cancer Treatment

Screening for lung cancer--the second-most common type of cancer worldwide--is a complex process. Doctors use Low-Dose Computed Tomography (LDCT) to scan patients and produce hundreds of 2D images. Physicians review them to identify the location and volume of tumors, which they then evaluate in context of the patient's medical history, lab work, biopsies, and other information, all of which help determine the stage of the illness and the best course of treatment. LDCT is an essential tool in fighting the deadly disease, but it's also a slow, painstaking process that leaves room for manual error. A new approach uses edge processing, AI, and secure data sharing to help doctors arrive at an accurate diagnosis much faster and start treatment sooner.