Tech View: April Updates and Developments
Welcome, tech enthusiasts! April has passed with a whirlwind of innovation and enhancement. From AI advancements to mind-blowing glimpses of …
In recent years medical imaging techniques (X-rays, MRIs, etc) have advanced in relevant representations of tissue abnormalities and are now commonly used in healthcare creating a vast amount of data radiologists sift through daily. The number of images can be overwhelming to process which often leads to delay in diagnosis or even professional burnout of radiologists. With a steadily increase in the amount of imaging data radiologists would look to the AI app to improve workflows and diagnostic accuracy of medical imaging interpretation.
Our client pursued a lofty goal to develop an AI-based healthcare application that would expedite the transition from curative to preventative healthcare. The core idea was to apply machine learning algorithms for big data analysis and develop an image-based deep learning system for estimating the risk of deseases and diagnosing oncology at the earliest stage.
Complex business logic defined the required web application behavior and functions. For this reason, the healthcare solution was built as a multiple-module system, where each module, incorporated through the interface, served a separate business function.
READ ALSO: BUILDING AI-POWERED HEALTHCARE APPLICATION FOR DIAGNOSTIC IMAGING INDUSTRY
Welcome, tech enthusiasts! April has passed with a whirlwind of innovation and enhancement. From AI advancements to mind-blowing glimpses of …
Businesses today have access to more data than ever before, from customer transactions and interactions to operational metrics and financial …
Conversational AI systems can engage in natural conversations and dialogue with humans. Powered by machine learning and natural language processing, …