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. 

RSS icon

Semiautonomous AI shows potential to reduce false positives, unnecessary procedures and medical expenses

Scientists developed the deep learning algorithm using a set of over 123,000 digital mammograms (including 6,100-plus cancer cases). 

MIMneuro MIM Software

GE HealthCare finalizes acquisition of Cleveland-based provider of AI imaging-analysis software

The company plans to integrate MIM Software's radiology and nuclear medicine solutions into its advanced-visualization product line. 

ChatGPT large language models radiology health care

Large language models excel at simplifying radiology reports

Yale scientists sought to gauge how LLMs such as ChatGPT-3.5/4, Google’s Bard (now known as Gemini) and Microsoft Bing could improve readability. 

Avicenna.AI, a French artificial intelligence (AI) startup co-founded by a radiologist, has received U.S. Food and Drug Administration (FDA) clearance for two new offerings designed to automatically identify cardiovascular findings in CT scans, CINA-iPE and CINA-ASPECTS.

Radiology AI company gains FDA clearance for new CT offerings focused on PE, stroke

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

Thumbnail

Radiologists are not a monolith: AI impacts members of the specialty differently

“Surprisingly,” experts wrote in Nature Medicine, experience-based factors such as a physicians’ subspecialty or previous AI use failed to reliably predict the technology's impact. 

Thumbnail

Deep learning-based MRI reconstruction software produces considerable cost savings

Oulu University Hospital believes AI will allow it to deliver the same level of service with one fewer scanner, enabling annual savings of over $436,000.

mammogram mammography breast cancer

Most women view mammography AI positively but still want human readers involved

Researchers sent the questionnaire to over 84,000 individuals imaged through BreastScreen Norway, sharing their findings in the European Journal of Radiology. 

artificial intelligence money finance acquisition

Radiology artificial intelligence ROI calculator demonstrates ‘substantial’ benefits at 5-year mark

Researchers built the tool to help imaging leaders quantify comparative costs, estimated revenues and the value of using an AI platform at a U.S. hospital. 

Displaying 97 - 104 of 748

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.