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. 

Video interview with Nina Kottler, MD, MS, associate chief medical officer for clinical AI, Radiology Partners, explains what radiology practices should consider when assessing artificial intelligence (AI) return on investment in an era where there is little reimbursement. #RSNA #RSNA23 #RSNA2023 #HealthAI #AIhealthcare

Artificial intelligence ROI considerations in radiology

Rad Partners' Nina Kottler, MD, explains what practices should consider when assessing artificial intelligence solutions in an era where there is little reimbursement.  
 

December 6, 2023
Kit Crancer RBMA president on Medicare cuts RSNA 2023.

The impact of Medicare payment cuts on radiology and patient care access

RBMA President Kit Crancer said continued cuts will result in Medicare patients losing access to care when health systems and providers determine it is no longer economical.

December 5, 2023
Example of cardiac CT and how spectral imaging assessment of the scan and show areas myocarditis as part of a demo in the Philips booth at RSNA 2023. Cardiac CT took center stage in all of the large CT vendors this year at RSNA and four new CT scanners where introduced, all of which were being promoted for their cardiac imaging capabilities. Photo by Dave Fornell #RSNA #YesCCT #RSNA23 #RSNA2023

Cardiac CT's continued rise on display at RSNA 2023

CCTA has seen rapid adoption and growth over the past two years, and RSNA vendors fed that trend with new product launches.

December 5, 2023
Large crowd in the recruiters row on the RSNA expo floor. There was a record number of recruiters at RSNA this year as the radiologist shortage begins to hurt many healthcare systems. The shortage was also brought up in nearly all discussions Radiology Business has at RSNAS 2023. #RSNA #RSNA23 #RSNA2023

4 key trends in radiology at RSNA 2023

The rapidly growing shortage of radiologists and technologists was by far the biggest concern discussed across the Radiological Society of North America meeting.

December 1, 2023
GE HealthCare Breast Cancer AI

GE HealthCare debuts AI suite for early breast cancer detection

MyBreastAI integrates three AI applications designed to read mammograms and measure breast density.

December 1, 2023
Video interview with Michael Bruno, MD, FACR, on the growing radiology staffing shortage, way to address this, and the growing problem of exam mismatch. He spoke to Radiology Business Digital Editor Dave Fornell at RSNA 2023. #RSNA #RSNA23 #RSNA2023 #radiologistshortage

Mismatch between radiologist shortages, rising exam volumes a growing concern in medical imaging

Michael Bruno, MD, vice chair for quality and patient safety at the Penn State Milton S. Hershey Medical Center, discusses two hot topics at RSNA 2023. 

November 30, 2023
abdominal pain

RSNA announces winners of abdominal trauma AI challenge

The Radiological Society of North America's latest contest focused on the detection and classification of injuries in the abdomen. 

November 22, 2023
artificial intelligence AI deep learning ChatGPT OpenAI Microsoft Google

AI able to identify autism in children with 98.5% accuracy

The study's full results are set to be presented at the Radiological Society of North America annual meeting in Chicago later this month.

November 21, 2023

Around the web

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound. 

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