healthcaretechoutlook

Trends and Opportunities: The Future of Medical Imaging with AI

By Healthcare Tech Outlook | Friday, December 07, 2018

Medical imaging is one of the fastest- growing areas of discovery. It offers an opportunity to radiologists, pathologists, ophthalmologists, and practitioners in other imaging processes to augment their workflow with new algorithms. AI is transforming the diagnostic imaging industry in terms of improved productivity, increased diagnostic accuracy, a more personalized treatment plan that improves clinical results. Also, AI plays a key role in facilitating radiology departments to increase the volume of diagnostic imaging procedures.

Nvidia, American Technology Company, recently unveiled the NVIDIA Clara platform. This open platform enables developers and partners to use the NVIDIA’s technology and expertise in artificial intelligence to build the next generation of medical imaging instruments and workflows. This platform is a combination of hardware and software and acts as a powerful tool for early detection, diagnosis, and treatment of diseases. AI-powered medical imaging devices can produce scans to identify the pattern to treat patients with serious conditions more quickly.

Aidoc, a leading AI start-up utilizing deep learning announced the world’s first commercial head and neck deep learning medical imaging solution at the beginning of this year.  Aidoc's solution augments radiologists' workflow by its unique ability to detect abnormalities in imaging of the head and neck. Its major portion of medical images helps radiologists to prioritize readings, facilitating diagnosis and reducing time to decide when the treatment for the patient is immediately required.

Subtle Medical is using AI to reduce the costs associated with medical imaging scans and save time. Subtle Medical, an NVIDIA Inception program, aims to enhance the inefficiencies of the imaging process. Moreover, by improving the process, they hope to increase the productivity of the hospitals and the experiences of the patients.

Google’s DeepMind developed a medical device to predict eye diseases even before the symptoms occur. DeepMind's deep learning technique will help doctors identify more than 50 vision-related conditions by scanning the eyes. The issues are identified within seconds.  GE Healthcare's LOGIQ E10 radiology ultrasound system with AI can quickly capture data and reconstruct images. The LOGIQ E10 offers 48 times the data throughput and ten times the processing power of previous systems.

AI enabled medical imaging will quickly feel invisible, paving the way for a more personal doctor-to-patient experience. The goal of AI-powered medical imaging is to enhance the provision of a more accurate and quality care.

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