devices have some limitations that can influence the work of professionals, even negatively. Therefore, some places are opting for medical diagnostic monitor.
The biggest benefit of using medical monitors for diagnosis is image quality. For each imaging modality, a minimum monitor resolution is recommended. For example, for tomography and resonance, 1 or 2 MB of resolution is enough. For an X-ray, it takes at least 3 MB. In cases of mammography, this minimum resolution rises to 5 MB. The more complex the exam and the greater the specificity of the image characteristics, the more resolution will be needed. The guidance provided by medical monitors, such as landscape or portrait viewing, also contributes to the radiologist having more details in the images and identifying possible injuries, improving the diagnosis.
In addition, some diagnostic medical monitors have DICOM calibration, which provides useful features for viewing images. Settings and other control tools are also essential features not found on conventional monitors.
Other aspects are also improved with medical monitors for diagnostics, such as grayscale, viewing angles, and contrast. Therefore, if your institution still uses common monitors, it is worth knowing the most specialized options available on the market.
What Are The Main Advantages Of Using AI Solutions In Radiology And Imaging Diagnosis?
— AI tools have been part of Radiology for a long time, such as in the analysis of bone densitometry, voice recognition for the preparation of reports, or the automatic segmentation of coronary arteries. When implemented, there were significant gains, and now go unnoticed as they are already incorporated into our daily lives.
More modern AI tools, which significantly impact radiological productivity, are still in the validation phase. But the future brings great prospects, although some professionals are still reticent and afraid because they think they can be replaced.
Some tools enhance quality and safety and aid in diagnoses—such as pulmonary thromboembolism and intracranial bleeding, which automatically alert the radiologist to this critical finding. The future impacts of AI on our daily lives are still uncertain, but it is a one-way street.
