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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Why radiologist virtue is so important in the AI era: 6 pieces of advice

“In the end, no matter how smart the machines are with their algorithms and mysterious black boxes, they are no match for human virtue when it comes to preserving patient trust and the survival of the profession,” one expert said in AJR.

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Combining neural network with breast density measurements boosts interval cancer detection rates

With up to 30% of breast cancers developing in between screenings, there is a great need to improve risk assessments, experts discussed recently in Radiology.

Man vs. Machine artificial intelligence AI

Radiogenomics could personalize cancer care, but experts are still hesitant to embrace the method

Combining radiomic data from imaging exams with genomic insights may be a long way off, but its potential may change the oncology landscape, experts suggested in Clinical Imaging.

MR-guided thermoseeds can destroy cancerous brain tissue

"Improving the precision of treatment delivery is arguably the greatest unmet need we have in contemporary medicine," experts explained in Advanced Science.

RSNA launches its first imaging AI certificate program

The six-module certification program is intended to help even the least tech-savy radiologists integrate AI into their clinical workflows.

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AI-assisted pneumothorax detection via chest radiographs reduces invasive procedures for patients

“We believe that the computer-aided detection system can help improve the safety of patients receiving lung biopsy," experts explained in Radiology.

Goldberg MRI stroke brain

Radiologists must change their approach to stroke care in the AI era

“Radiologists have an opportunity to situate themselves at the center of patient care, but it will require transforming the operational framework and rebranding ourselves," experts suggested in a new editorial.

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The future of medical imaging? Connecting the dots from diagnosis to care

Bayer

What if artificial intelligence (AI) could support doctors in making decisions faster?

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Positron partners with Upbeat Cardiology Solutions to improve cardiac PET/CT access

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‘A huge win’: CMS significantly increases Medicare payments for cardiac CT

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.