Diabetes is a highly prevalent condition that has affected more than 415 million people across the globe. In 2015, it also accounted for more than 5 million deaths. The signs of diabetes impact micro and macrovascular systems and hence the disease is linked with substantial mortality, morbidity and low quality of life. The estimated medical …
With the integration of AI methods into the clinical workflow, you can perform reproducible and accurate radiology evaluations. It works like an excellent tool that helps in assisting Radiologists Service in European countrieslike Netherlands. AI methods used in radiology-based clinical application areas Thoracic Imaging: One of the deadly and common tumours is lung cancer. Through …
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From the earlier times of X-ray imaging that took place in the 1890s to recent advancements in Europe in PET, MRI and CT Scanning Services and medical imaging is the strength of the medical treatment. The recent signs of progress in the field of imaging hardware have created discrimination of minor changes in densities of …
Clinical Application Areas of AI in Radiology-based Oncology Read More »
Artificial Intelligence in radiology has reshaped the future. The value of AI is based on how it works in collaboration with medical professionals or radiologists to be more precise. AI can be used to optimize and help professionals to reduce the burden of diagnosis, enhance workflow efficiency, and streamline the process. AI in radiology is …
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