One of the areas where artificial intelligence is emerging as a valuable tool is radiology. Anytime a patient breaks a bone, sprains an ankle or suffers head injuries, the radiology industry gets into action using x-rays, CT scanners, MRI machines and other tools and techniques to take a closer look inside the human body without the need for surgery. Radiology technicians take the images and radiologists examine them to determine the extent of the injury.
AI is being hailed as one of the greatest tools to aid radiology since the x-ray machine. AI or more specifically machine learning and deep learning algorithms are learning how to analyze the images produced by radiology scans. Business Insider Intelligence reported that spending on AI in healthcare is projected to grow at an annualized rate of 48% between 2017 and 2023
Lunit is a medical AI software company devoted to advance medical intelligence to the next level through use of AI. Lunit develops and provides novel AI-powered solutions for diagnostics and therapeutics that can save time and lives. One of their product, Lunit INSIGHT, uses AI for analysis of chest X-ray. It accurately detects ten of the most common findings in a chest x-ray. The AI solution generates location information of detected lesions in the form of heatmaps, abnormality scores reflecting the probability that the detected lesion is abnormal and an AI “case report” that summarizes the analysis result.
VoxelCloud is another company that’s working to make a name for itself in the field of AI medical imaging. The company is using cloud computing to improve medical imaging workflows and is one of the first companies working to provide AI as a service. VoxelCloud is also creating a medical knowledge API where third-party app developers will be able to create their own applications to further augment the field of radiology.
Israeli start up Aidoc uses AI to flag acute abnormalities. Aidoc develops advanced healthcare-grade AI based decision support software. Aidoc’s software runs on existing hospital hardware, automatically collecting and analyzing any image uploaded to the hospital servers. The company has already received FDA clearance for its AI algorithm that identifies intracranial haemorrhage. The same algorithm is also working in Europe, as well as medical programs across the globe that identify spinal fractures and pulmonary embolism.
The interaction of AI and digital imaging is shaping up to be beneficial for the healthcare industry. Further research and innovation can lead to improved diagnosis and patient health.
Credits : Akhil Handa