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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Image quality is not an issue for AI model that detects pulmonary embolisms on CT

CTPA is the standard of care for diagnosing PE, but suboptimal scans make it difficult to reach a diagnosis. A new Clinical Imaging study tests the effectiveness of AI when image quality is lacking.

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AI tool achieves excellent agreement for knee OA severity classification

Many decision support tools catered to knee osteoarthritis have emerged in recent years, but external validation that ensures these algorithms can operate in a clinical setting has been lacking.

FDA greenlights AI software that detects fractures and traumatic injuries

A study published by Boston University School of Medicine revealed that fracture detection improved for readers by 10.4% with BoneView AI's assistance.

Deep learning model triages brain MRIs for abnormalities to prioritize reads

The deep learning model was trained to recognize abnormalities in real-time, reducing delays in image interpretation for clinically relevant findings.

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Multimodal AI platform can accurately diagnose and stage thyroid cancer via ultrasound images

 The platform was developed using a combination of four different AI methods, according to research presented at the 2022 Multidisciplinary Head and Neck Cancers Symposium.

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AI can identify significant findings on scanned radiology reports, reduce manual workloads

Researchers created an automated pipeline that can spot clinically significant abnormalities that would require follow-up on documents scanned into the EHR.

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Automated CT scoring system accurately predicts prognosis in stroke patients

The study used non-contrast CT and CT perfusion imaging to analyze agreement between an automated reader and human radiologists with differing experience levels.

Legal ramifications to consider when integrating AI into daily radiology practice

“Formidable legal obstacles threaten AI’s impact on the specialty and, if unchanged, have the potential to preclude the future success of this emerging industry,” experts cautioned in AJR.

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

Positron, a New York-based nuclear imaging company, will now provide Upbeat Cardiology Solutions with advanced PET/CT systems and services. 

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.