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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Bayer and Rad AI expand access to AI and radiology workflow solutions with new collaboration

Integrating Rad AI’s applications with Bayer's Calantic Digital Solutions platform will enable more hospitals to implement AI into their physician practices.    

artificial intelligence in healthcare

6 priorities for a national healthcare AI strategy from our friends in the UK

The U.S. is far from alone in the world in its wranglings across public and private sectors to adopt propitious healthcare AI innovations quickly yet safely.

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If you build it, they will come: Experts believe reimbursement will follow AI implementation

If AI is implemented, will reimbursement come? Just like Kevin Costner’s character in the 1989 hit "Field of Dreams," many imaging stakeholders are mulling whether their efforts will reap any sort of benefits. 

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Changes in AI-based risk scores identify women at greatest risk of developing breast cancer

The more an individual’s score changes, the greater the odds are of them being diagnosed with cancer in the near future, new research presented at SIIM 2024 suggests.

american college of radiology ai quality assurance center

ACR opens doors of AI quality-assurance center

Radiology practice leaders have a new way to assure their patients, communities, referrers and payers—and their own people—that the AI products they use are in compliance with safety and efficacy guidelines set by the American College of Radiology.

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FDA clears new AI algorithm for 1-year AFib risk

The new algorithm from Tempus AI evaluates 12-lead ECG results, alerting users when a patient could be at risk of experiencing AFib within the next 12 months.

AliveCor, a California-based healthcare company focused on developing on-the-go electrocardiography (ECG) devices, has gained U.S. Food and Drug Administration (FDA) clearance for its KAI 12L artificial intelligence (AI) technology and the new handheld Kardia 12L ECG System.

Dual approvals: AliveCor gains FDA clearance for advanced AI model, handheld ECG system

One of the company's new approvals was for a pocket-sized ECG system designed to be less invasive and easier to use than other devices on the market. 

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