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. 

Elon Musk Neuralink

Elon Musk urges users to submit X-ray, PET and MR images to xAI chatbot Grok

The world’s richest man asked patients and providers to try submitting scans to his company’s artificial intelligence product for further analysis. 

Radiology Partners

Rad Partners aims to take ‘chores of healthcare’ off radiologists’ plates

The partnership is with IKS Health, which helps docs handle duties such as clinical documentation, care team assistance, and pre-visit summaries. 

The rapid rise of artificial intelligence (AI) has helped cardiologists, radiologists, nurses and other healthcare providers embrace precision medicine in a way that ensures more heart patients are receiving personalized care.

5 of 7 Medicare Administrative Contractors approve payment for imaging AI software

Providers have the potential to earn a Medicare payment of $950 if the software is deployed in medically appropriate scenarios.  

Man vs. Machine artificial intelligence AI

Radiology resident thumbs nose at Nobel Prize winner who predicted specialty would become obsolete

“Godfather of AI," Geoffrey Hinton, forecasted in 2016 that advances in AI would take over radiologists’ duties within five years. Eight years later, the prediction has proven false. 

Peter Kecskemethy PhD CEO co-founder Kheiron Medical

RadNet subsidiary DeepHealth acquires another artificial intelligence firm

The outpatient imaging center operator is adding Kheiron Medical Technologies, which uses deep learning to help radiologists detect breast cancer. 

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AI-based software improves follow-up imaging adherence by 74%

The increased follow-up of recommended imaging exams combined with the efficiency of its use also generated an additional $9,000 in revenue per month at one organization.

ChatGPT neurology interview with neurologist

Assessing whether ChatGPT would steer patients to an interventional radiologist

Icahn School of Medicine researchers recently asked the popular AI chatbot a series of questions related to ailments often treated by IR specialists. 

HeartFlow Plaque Analysis Example

New Category I CPT code issued for AI-enabled coronary plaque analysis software

The news comes just days after CMS confirmed these technologies would start receiving expanded Medicare coverage in November. HeartFlow and other AI vendors have already shared their excitement over the decision. 

Around the web

The patient, who was being cared for in the ICU, was not accompanied or monitored by nursing staff during his exam, despite being sedated.

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.

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.