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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Misuse of public imaging data is producing 'overly optimistic' results in machine learning research

 "This research aims to raise a red flag regarding naive off-label usage of open-access data in the development of machine-learning algorithms," experts involved in the study said.

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MindMaze secures $105 million to expand commercial growth

The financing was led by Concord Health Partners in conjunction with AlbaCore Capital Group and London-based Hambro Perks.

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AI-based system affords physicians more flexible schedules, minimizes burnout triggers

Physicians reported higher engagement scores while receiving extra vacation days, greater flexibility, more predictable schedules and fewer denied days off.

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Jefferson Health hit with data breach impacting more than 9,000 patients

The hacker only gained access to billing information and the Philadelphia-based provider began sending out individual notification letters on Jan. 20.

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IBM reaches deal to sell Watson Health assets to private equity firm for $1B-plus

Bay Area-based Francisco Partners is picking up the tab, adding several pieces assembled through $4 billion in acquisitions over the years, including Merge Healthcare.

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Machine learning a key tool for limiting clinical, economic impact of C. diff on hospitals

The average treatment cost per case tops $4,000 in the U.S. and increases patients' average hospital stay by 3.6 days.

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6 features of the ideal healthcare artificial intelligence algorithm

Explainability and autonomy are two traits that every AI platform should demonstrate during prospective trials, experts said in PLOS Digital Health.

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FDA requests feedback on 3D printing of medical devices at the point of care

The agency is hoping to "foster discussion and solicit feedback from the public" on this important topic. 

Around the web

Compensation for heart specialists continues to climb. What does this say about cardiology as a whole? Could private equity's rising influence bring about change? We spoke to MedAxiom CEO Jerry Blackwell, MD, MBA, a veteran cardiologist himself, to learn more.

The American College of Cardiology has shared its perspective on new CMS payment policies, highlighting revenue concerns while providing key details for cardiologists and other cardiology professionals. 

As debate simmers over how best to regulate AI, experts continue to offer guidance on where to start, how to proceed and what to emphasize. A new resource models its recommendations on what its authors call the “SETO Loop.”