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.

AI model gets helpful heart assessments out of nongated CT scans
"Using AI for tasks like CAC detection can help shift medicine from a reactive approach to the proactive prevention of disease," one researcher said.
Led by notable names in radiology, imaging AI firm HOPPR raises nearly $32M
Founded in 2019 and based in Chicago, the vendor offers a “leading” infrastructure platform for building, refining and deploying large-scale AI models in medical imaging.
Healthcare AI today: Dangerous LLMs, self-training AI—and is AI good for what ails healthcare?
If an individual is at all susceptible to mental unwellness, overuse of a talkative LLM could push him or her over the edge. Maybe literally.
Could the metaverse be the new radiology education classroom?
According to new data, the simulated virtual environment may be just as effective of a setting as the classroom for problem-based learning.
ChatGPT's medical advice may be deterring women from necessary imaging
The LLM’s responses may be misleading in certain situations, which could pose problems for patients who trust the medical advice it provides.

Artificial intelligence in radiology: Friend, not foe, say experts concerned about student perceptions of AI

In an effort to perhaps dissuade skepticism among medical students who are on the fence about the future of radiologists, experts in the field recently offered a detailed overview of the use of AI in imaging.

New AI program aims to expand biomedical and behavioral research

The National Institutes of Health (NIH) has launched a new artificial intelligence (AI) program, backed by $130 million in funding, that aims to expand the use of AI in the biomedical and research communities.

AI for assessing bone fragility gets breakthrough tag

Orthopedic cone-beam CT supplier CurveBeam AI has received the FDA’s breakthrough device designation for software that computes risk of fracture in patients with osteopenia.

AI and entertainment are changing primary education. Can radiologist training be far behind?

If you want to know how radiologists will learn their jobs 10 to 20 years from now, take a look at the ways schoolkids learn their subjects in the 2022-23 school year.

TB-detecting AI tool shows promise for improving screening in low resource areas

A new artificial intelligence system can detect active tuberculosis on chest radiographs with accuracy comparable to radiologists, a recent paper in Radiology reports.

How AI could be the key to beating the next COVID-19 variant

While the number of possible mutations of the SARS-CoV-2 spike protein would be overwhelming for humans to analyze, machine learning may be able to offer critical insights for next-generation vaccines and antibody treatments.

VIDEO: 9 key areas where AI is being implemented in healthcare

Julius Bogdan, vice president and general manager of the Healthcare Information and Management Systems Society (HIMSS) Digital Health Advisory Team for North America, explains several key artificial intelligence (AI) trends he sees across healthcare.

Concerns about the future of AI are deterring students from pursuing radiology, survey shows

According to the new data, students believe that emerging technologies, including artificial intelligence, could eventually render some specialties obsolete.

Artificial Intelligence

AI model gets helpful heart assessments out of nongated CT scans

Led by notable names in radiology, imaging AI firm HOPPR raises nearly $32M

Healthcare AI today: Dangerous LLMs, self-training AI—and is AI good for what ails healthcare?

Could the metaverse be the new radiology education classroom?

ChatGPT's medical advice may be deterring women from necessary imaging