The Future Of Radiology

Every technology is subject to change. Similarly, the field of radiology is going through rapid changes to shape the future of medical imaging. The goal of these advancements is to enable this technology to get even better at identifying and treating diseases via medical imaging of the body.

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The Future Of Radiology

Medical 3D Printing

Radiologists and other clinicians are working on 3D printing to bring the previous studies to life, which were based on MRI, CT, or 3D modalities. The term “3D laboratory” was coined by academic radiologists who used software tools to work on diagnosing diseases.

A 2D monitor on which volume rendering is displayed has helped to visualise pathologic and anatomy conditions in a 3D manner. This has helped radiologists to provide relevant conclusions to health care teams.

Previously, a dedicated workstation processed Digital Imaging and Communications in Medicine (DICOM) images. Now, software is incorporated in an institution’s picture archiving and communication system (PACS). The reformatted pictures are a part of the medical record of the patient.

Remote Viewing Systems

Radiology started to advance rapidly after X-rays were discovered in 1985. However, unfortunately, almost 65 % of the world’s population cannot access basic radiologic procedures. Many countries have a limited number of radiologists which are not sufficient for the large population of that area.

In some countries, people almost spend two days in travelling and almost spend their entire monthly income trying to find a facility for an X-ray. Even when they do find such a place, there is not much chance of getting a clear image.

Many machines are outdated which renders them useless in most cases. To increase accuracy and reduce expenses and wait times, physicians are using web-based systems to send and receive reports and images from different parts of the world.

These systems are extremely helpful in deserted places with low population as they help to diagnose diseases from a remote location. Therefore, some diseases can be prevented before time while others can be cured after they are diagnosed.

Artificial Intelligence

Artificial intelligence can be effectively used by radiologists to diagnose various diseases. Radiologists are aiming for a bigger part in healthcare sector, preferably a role that involves them in all steps from diagnosis to therapy. They are extremely hopeful that artificial intelligence can be used to improve the patient outcomes.

To help physicians make accurate diagnoses, intelligent machines might come in handy. The ability of these machines to tap into imaging data is what makes them efficient.Artificial intelligence has already taken control in some technological areas, and soon it might come into the field of radiology too. The introduction of these intelligent machines will improve the precision and accuracy of the radiological procedures.

With the recent advancements in new technologies in the field of medical care, it is safe to predict that radiology holds a promising future.

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