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. 

Man vs. Machine artificial intelligence AI

Skepticism and optimism: Radiologists are still divided on AI integration

AI concerns among radiologists could delay its implementation. Experts say educational initiatives could help.

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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.    

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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.

Deep learning application spots acute ischemic stroke in less than 30 seconds on MRI

What’s more, the application’s performance was accurate, even when fewer scanning sequences were utilized.

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Supplemental AI education during residency linked to key benefits

Despite this, there is still no standardized AI curriculum for emerging radiologists.

Imaging study reveals 'significant deformities' in lungs of some COVID patients

These changes could have long-lasting implications for lung function, authors of the new study warn.

AI assistance improve prostate cancer margin definition

AI assistance yields prostate cancer margins 45x more accurate than those defined by rads alone

Even among the most seasoned urologists and radiologists, artificial intelligence software significantly improves prostate cancer mapping.

Around the web

The nuclear imaging isotope shortage of molybdenum-99 may be over now that the sidelined reactor is restarting. ASNC's president says PET and new SPECT technologies helped cardiac imaging labs better weather the storm.

CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.

The newly cleared offering, AutoChamber, was designed with opportunistic screening in mind. It can evaluate many different kinds of CT images, including those originally gathered to screen patients for lung cancer. 

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