Medical imaging is a powerful tool that has revolutionized the way doctors diagnose and treat patients. From the invention of the compound microscope in the late 16th century to the use of sophisticated computer-aided classification and machine learning today, medical imaging has come a long way. It is now used to monitor a patient's progress over time, providing doctors with invaluable information about their condition and treatment options. X-rays, computed tomography (CT), magnetic resonance imaging (MRI) and ultrasounds are all examples of medical imaging techniques used to capture anatomical features. These technologies provide doctors with an additional context that is crucial for diagnosing and treating patients more quickly.
Automating the reading of images as much as possible saves radiologists valuable time, and machine learning is becoming a powerful way to monitor patients and track even the smallest changes in their conditions. A patient tracking system is implemented to monitor the movements of patients during their stay in the hospital. Over the years, doctors have used many different ways to track their patients, such as pen and paper, spreadsheets and, now, with the use of RFID technology and the Internet of Things (IoT). Requests for the emergency department and for hospitalized patients are faxed directly to the DI department and are scheduled after the DI employee enters them into the system. The imaging process is monitored from the moment an outpatient enters the department to register until they take him to an X-ray room for examination. The “start time” is when the technician first takes the patient to the examination room and the “stop time” is when the patient leaves the examination room, once the images have been considered diagnostic. This new imaging feature will transform the types of treatments that patients receive and will greatly improve the information that doctors obtain about their effectiveness, so that they can make better decisions about treatment options.
Medical imaging has come a long way in a single century, from Ramón y Cajal's neurons on a slide to a three-dimensional image of a living brain seen through MRI. It's hard to overstate how far this field has advanced.
