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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Verily, Google launch AI-powered screening program for eye disease

Verily and Google have launched a new program that brings machine learning-powered screening for two diabetic eye diseases to patients in India.

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Imaging societies collaborate on draft document about ethics of AI in radiology

Several imaging societies, including the American College of Radiology (ACR) and European Society of Radiology, have published a consensus draft document focused on the ethics of AI in radiology.

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2 AI algorithms designed to flag acute conditions gain CE mark

Zebra Medical Vision, a Shefayim, Israel-based medical imaging analytics company, announced that it has received CE certification for two AI-based algorithms aimed at improving care in the emergency department (ED).

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AI solution for pulmonary embolism workflow receives CE certification

Aidoc, a Tel-Aviv, Israel-based medical imaging company, announced that its AI-based solution for improving pulmonary embolism (PE) workflow has received CE certification.

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AI can help patients with high-risk breast lesions avoid unnecessary surgery

Researchers have developed new AI models that can predict when atypical ductal hyperplasia (ADH) breast lesions will be cancerous, publishing their findings in JCO Clinical Cancer Informatics.

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Will AI provide true value to women’s imaging? That depends …

Artificial intelligence (AI) could be a true game-changer for medical image interpretation, especially women’s imaging. But nothing is guaranteed.

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RANZCR releases draft guidelines on appropriate use of AI in healthcare

The Royal Australian and New Zealand College of Radiologists (RANZCR) announced Thursday, Feb. 21, that it has published a draft of its guidelines for the appropriate use of AI and machine learning (ML) in healthcare.

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AI predicts ovarian cancer survival rates from CT scans

AI can predict a woman’s survival rate and response to treatments for ovarian cancer more accurately than current methods, according to research published online Feb. 15 in Nature Communications. 

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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.