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. 

Chatbot

ChatGPT a ‘substantial first step’ toward AI-drafted radiologist reports

Using an RSNA template, the artificially intelligent chatbot was able to get high marks on report quality for distal radius fractures.


 

April 18, 2023

Common features of missed lung cancer on chest X-ray

It is crucial for radiologists to beware of these missed cases in routine practice, experts wrote recently in Clinical Imaging

April 14, 2023
Example of data generated by an automated artificial intelligence (AI) brain CT assessment tool from Annalise.ai at RSNA 2022. What does brain imaging look like?

AI company racks up 7 new FDA clearances for image triage and notification solutions

The Australia-based company made the announcement on April 12 in a release that described the timing of these AI-assisted solutions as “increasingly important” amid growing workloads and staffing shortages. 

April 12, 2023
liver cancer

AI detects more than half of metastases overlooked by radiologists on CT

Reasons for the gap between AI and rads could include the physician's physical and mental condition at the time of the study, experts noted. 

April 11, 2023
venture capital corporate suit business corporatization

Private equity healthcare deals hit $90B in 2022, with AI one key 'sector to watch'

Investors continue to pour funds into radiology and other segments of medicine, seeking shelter from volatility seen elsewhere.

April 10, 2023
Coalition for Health AI

Coalition acts to ensure credible, fair, transparent AI in healthcare

Having identified an “urgent” need for guardrails to keep healthcare AI from veering into an avoidable ditch, the Coalition for Health AI has put together a 24-page guide applicable to numerous groups of stakeholders.

April 7, 2023
The European Society of radiology European Congress of Radiology (ECR) 2023 meeting. Image courtesy of ECR

Key trends in radiology at the European Congress of Radiology 2023 meeting

Bhvita Jani, research manager at the healthcare market analysis firm Signify Research, shares noteworthy happenings from the ECR expo floor.

April 7, 2023
An example of the FFR-CT technology from Heartflow. The vendor's AI can take a patient's cardiac CT scan and non-invasively assess FFR hemodynamic flow for all the coronary arteries to determine if blockages are significant enough to require revascularization. Photo by Dave Fornell

HeartFlow raises $215M to keep up with growing demand

The company is still riding the momentum of its technology being included in the 2021 American College of Cardiology/American Heart Association chest pain guidelines.

April 7, 2023

Around the web

"This was an unneeded burden, which was solely adding to the administrative hassles of medicine," said American Society of Nuclear Cardiology President Larry Phillips.

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

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

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