Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

AI-based prostate cancer management technology makes official debut in clinical settings

The recently FDA-cleared program merges patient-specific information from prostate imaging, biopsies and pathology, resulting in a deep learning algorithm that creates an AI-generated 3D map of cancer.

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Startup that converts MRIs into 3D assessments raises $3M from private equity, pro sports franchise

Springbok Analytics uses AI and the accuracy of magnetic resonance imaging to create “precise” muscle assessments. 

AI specialists focused on cardiology bring in industry veteran to be executive chairman of the board

Scott Huennekens, who has more than 25 years of experience in the medical device industry, is the second addition Elucid has made to its board of directors in the last six months. 

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Industry Watcher’s Digest

Buzzworthy developments of the past few days.

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Moderna throws in with IBM over quantum computing, generative AI for healthcare

Fresh off its success using AI to develop a blockbuster COVID vaccine, up-and-coming biotech player Moderna (founded 2010) has won the confidence of 112-year-old Big Blue as a strategic partner.

ChatGPT to be utilized in new medical imaging app for patients

AI chatbot ChatGPT is making its official debut in medical imaging by way of a new app that can be utilized by anyone with a smartphone. 

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AI dramatically reduces radiologists’ rate of missed incidental pulmonary embolism on routine CT

The commercial software also reduced the median detection and notification time for incidental PE in flagged scans from “several days” down to just 1 hour.

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Industry Watcher’s Digest

Buzzworthy developments of the past few days.