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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Aidoc’s AI-powered PE solution gains FDA clearance

Aidoc has gained FDA approval for its new AI-powered solution that helps radiologists flag and triage urgent pulmonary embolism (PE) cases.

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AI-powered detection system IDs ACL tears as well as radiologists

A deep learning-based diagnosis system can identify ACL tears in MRI scans as well as radiologists, according to a new study published in Radiology: Artificial Intelligence.

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AI-powered triage solution for pneumothorax gains FDA clearance

Zebra Medical Vision has received FDA clearance for its new artificial intelligence (AI) solution that scans chest x-rays for signs of pneumothorax and alerts imaging providers when necessary.

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NVIDIA, King’s College London partner on AI platform for radiology workflows

NVIDIA and King’s College London have announced a new partnership focused on developing a new artificial intelligence (AI) platform to improve radiology workflows.

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A new, improved way to predict breast cancer risk with AI

A new deep learning model leveraging data from screening mammograms can predict a patient’s breast cancer risk with significant accuracy, according to a new study published in Radiology.

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A key way AI can improve care for stroke patients

Deep learning (DL) may be able to help healthcare providers predict how patients will respond to intravenous thrombolysis, according to a new pilot study published in Academic Radiology.

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How AI can help diagnose chronic myocardial infarction without gadolinium

Researchers have developed a deep learning model for detecting and delineating chronic myocardial infarction (MI), sharing their findings in a new study published by Radiology.

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Researchers use AI to improve on traditional PET imaging methods

Researchers have developed a new technique, DeepPET, that uses deep learning to turn PET imaging data into high-quality images at a much faster rate than traditional methods. 

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Around the web

Health Imaging
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.

Cardiovascular Business
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.