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Artificial Intelligence & Deep Learning for Medical Diagnosis
So, how do I see the future of healthcare using AI? Well, let's just face it. AI is heading to transform medicine and somewhere even replace real-medicine workers. Every year we observe the appearance of new and more advanced solutions. This, by the way, provides a whole slew of advantages, one of the most important of them is reducing the time needed to reach a diagnosis that allows medical workers to better prioritize patient case.
Julia Computing
The field of medicine faces a global shortage of radiologists, combined with increasing workloads and complex diagnoses, leading to delays, missed findings and huge overtime expenses in healthcare. A radiologist will upload a scan and mark a region of interest. Each result is a full volume, so radiologists can scroll through or change the contrast or brightness. Radiologists can even restrict results based on age, gender or pathological findings in the report via text search. How does Julia help make this possible?