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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Making a difference: How AI can improve radiologist workflow

Machine learning can help reduce a radiologist’s workload by identifying negative mammograms that do not need to be interpreted, according to new findings published in the Journal of the American College of Radiology.

Healthcare groups release second roadmap focused on AI in radiology

Numerous healthcare organizations have released a second research roadmap focused on AI technologies in radiology. The full document was published in the Journal of the American College of Radiology.

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SIIM, ACR hosting new AI challenge focused on pneumothorax detection

The Society for Imaging Informatics in Medicine (SIIM) and American College of Radiology (ACR) are hosting a new machine learning challenge as part of a collaboration with the Society of Thoracic Radiology (STR) and MD.ai.

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Intelerad invests $75M in R&D with plans for AI and the cloud

Radiology software supplier Intelerad Medical Systems is investing $75 million to develop new artificial intelligence and cloud-based offerings.

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AI offers faster, easier pulmonary nodule detection

Artificial intelligence can enhance radiologists’ ability to detect pulmonary nodules on chest CT scans while simultaneously reducing chest CT scan interpretation times.

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CVD risk lessens with more years in school

Body mass index, systolic blood pressure and smoking behaviors mediate the effects of education on cardiovascular health, according to a recent study in The BMJ.

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Google's AI predicts lung cancer risk as well as radiologists

Researchers at Google have developed a deep learning algorithm that uses data from CT scans to predict a patient’s risk of lung cancer, according to findings published in Nature Medicine.

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4 key reasons AI won’t replace radiologists

According to a new commentary in Radiology: Artificial Intelligence, radiologists have no reason to fear being replaced—as long as they are willing to embrace AI and adapt to these changing times.  

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Around the web

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Nearly $800,000 settlement offered to family of man who died during MRI exam

The patient, who was being cared for in the ICU, was not accompanied or monitored by nursing staff during his exam, despite being sedated.

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Global shortage of nuclear imaging isotopes may be over

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.

Cardiovascular Business
‘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.