How AI in Medical Imaging Opens new Opportunities
healthcaretechoutlook

How AI in Medical Imaging Opens new Opportunities

By Healthcare Tech Outlook | Tuesday, May 28, 2019

FREMONT, CA: Medical imaging plays a very vital role in helping physicians care for their patients. Systems that are accountable for managing medical images have traditionally concentrated on storage and retrieval. Healthcare institutions have seen that medical emerging systems offer advanced abilities like AI and analytics that can transform the way they interact with these products. Some features across the different imaging platforms are image storage, export, routing, and quick access to images from multiple viewing stations and devices.

Inspired by the impactful and change-making capabilities of artificial intelligence, medical mechanics are walking towards tapping into the essence of AI-driven imaging systems. The advancements in image processing, machine learning, and algorithms allow computer software to analyze large numbers of images and learn. This allows the system to detect with a high level of accuracy things that a human may not always be able to see. The recent development of an AI-based medical imaging application is the image-based diagnosis of diabetic retinopathy: the use of AI algorithms alongside images captured by eye imaging equipment can determine whether the patient suffers from the condition. The use of AI for hospitals in medical imaging provides the opportunity to take advantage of new capabilities that can enhance patient care and provide new efficiencies and improve productivity. Abnormality can be detected through machine learning and image processing. Smart dictation for note taking using natural language processing, health data mining, image processing, and analysis and identifying high-risk patients are some capabilities that enhance patient care.

The CIOs should ensure that IT environments can meet the different requirements that the systems will need. The primary focus should be given on excessive training and process reengineering to prepare end users for the new system with AI abilities. The approval of medical imaging systems that include AI has expanded in hospitals, evaluating the various use cases and AI advancements.

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