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. 

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Industry Watcher’s Digest

Buzzworthy developments of the past few days.

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Investors pour $5B into imaging AI, with average deal size tripling since 2020

There are now more than 200 independent medical imaging AI software vendors, with 73% of the funds concentrated among the top 25. 

Vanderbilt University Medical Center

Vanderbilt-Philips partnership; FDA clears brain MRI software; Visage scores $20M deal, plus more vendor news

Also, lung cancer-focused Leadoptik scores $5M in seed financing, Hyperfine earns $3M grant to extend research, and Intelerad supports new AAWR-RadEqual partnership. 

patient acceptance of medical AI is rising

Is crafty ‘Dr. AI’ already siphoning mindshare from actual doctors?

Patients can be persuaded to place almost as much confidence in diagnostic AI as they have in primary care physicians.

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New AI tool helps radiologists reduce read times by up to 40%

Its use dropped the average time needed to examine a finding at all timepoints from 107 seconds to 65 seconds, with pulmonary nodule assessments benefiting from the greatest reductions.

artificial intelligence investment

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

Philips launches new AI-powered CT system said to improve workflows, increase returns

Philips has developed an AI-powered CT system designed to increase throughput and improve image quality, all while decreasing patient exposure to ionizing radiation. 

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ChatGPT's radiology board success has experts rethinking resident education

While the AI chatbot’s scores do reflect its impressive strengths, its weaknesses could present a unique opportunity for educators.