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AI is set to make a significant increase in the value radiology professionals provide the patients. Radiologists are pressurized to read and interpret a lot of images in a day. They are burdened with the responsibility of identifying and interpreting images that need minute attention and expertise.
These huge amounts of images like CT Scan, PET CT Scan, PSMA PET CT Scan, Xray or MRI and imaging reads create massive amounts of data, which can be made available to researchers to study. The burden to interpret these images is so high that it leads to burn out among providers, radiologists and teleradiologists. This takes away time that they could have spent on patient care. Instead of treating and counseling the patients about the images and providing care options, radiologists are spending time in front of the machines.
This pressure of reading images can impact the accuracy level of radiologists. Radiology is about visually interpreting the results and taking accurate decisions; errors are bound to occur with mounting pressure. Misdiagnosis can cause harm to the patients.
This is where Artificial Intelligence plays an important part. Deep learning algorithms lead to large dataset of medical images, to read and interpret the results just like a radiologist or teleradiologist. The algorithm is trained to run through normal and abnormal results, identifying suspicious findings, any health challenges found in the images like a tumour.
Deep learning methods help in detecting rare and difficult diagnosis as they are made up of huge datasets that contain the images of diseases. A trained radiologist/teleradiologist may identify just a case of a rare disease. But AI is trained on many datasets that helps them to identify unique conditions quickly. This increases the diagnostic accuracy as compared to a radiologist.
Artificial Intelligence is a broad field of vast number of technologies put together to train computers to behave just like intelligent human beings. Machine learning algorithms focusing on identifying the data pattern is based on datasets that have numerous examples and an answer. Deep learning is a new technology that is more specific form of machine learning.
Machine learning applications are used to screen examinations like chest CT or mammography. Some applications also aid in identifying if the tumor and lesion is cancerous. AI helps to identify patterns in the images and arrives at the right diagnosis with high reliability. They find patterns that are more complex than what a human being can identify.
For Artificial Intelligence Teleradiology and radiology produces a huge amount of data. This data can be used by various purposes like research and commercially applying the research results to make innovative products that can improve healthcare.
This data produced by radiology or teleradiology companies can be used to get an accurate diagnosis and then to utilize it by researchers for further studies.
Future teleradiology also makes these data available for varied purposes thus, contributing to the improvement of healthcare. You can get in touch with our team who will guide you in this matter.
We provide teleradiology services all around the globe. You may be located in USA, Mexico, Brazil, UAE, Yemen, Kuwait, Libya, Egypt, Australia, Japan, Germany, Afghanistan, Sri Lanka, Singapore, Bhutan, Nigeria, Morocco, Greece, etc. or any other country- reach out to us for the best teleradiology services.
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