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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Overheard this week: 6 notable quotes on healthcare AI

‘We need to design and build AI that helps healthcare professionals be better at what they do.’

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AI and medical imaging data firm Flywheel raises $54M in series D financing

Bayer AG's former CEO is joining the startup's board, expressing excitement about the prospect of using the platform to develop new drugs.

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Automated correlation of knee MRI, surgical findings saves radiologists’ time

Cleveland Clinic scientists believe their research findings could have “broad and far reaching” implications for the specialty. 

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Anxiety edging out excitement over our AI-everywhere future: Survey

Americans are somewhat more troubled than thrilled over AI’s mounting presence in modern life. But the collective outlook is a rich blend of both.

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Industry Watcher’s Digest

Buzzworthy developments of the past few days.

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MRI product developer raises $30M in series A financing, plus more vendor fundraising news

Other imaging-related startup companies recently raising $4.9M or more include Altis Labs, BrainTale, Leadoptik and Hypervision Surgical. 

Imaging companies join forces to deliver AI-guided echocardiography exams

The collaboration, announced at ASE 2023, was launched in the name of patient access. 

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Latest version of ChatGPT has potential as a clinical decision support tool

Large language models could have feasibility in the future as clinical support tools that triage patients for imaging services—with additional updates and more training, of course.