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.

Healthcare AI today: Exhorted doctors, shifting nurses, safe psychologists, more
The AMA is imploring physicians to serve as ‘full partners’ with other AI stakeholders throughout the technology’s life cycle in relevantly equipped clinical devices.
Radiologist-led breast imaging AI vendor Clairity raises $43M
Founded in 2020 by Mass General’s Constance Lehman, MD, PhD, Clairity offers the first AI tool to predict five-year breast cancer risk from routine mammograms.
Less than 30% of FDA-authorized radiology AI devices have undergone clinical testing
A new research paper details the path to approval for nearly 1,000 AI/ML algorithms, highlighting significant gaps in testing.
Healthcare AI today: Artificial superintelligence, Heart Association AI leadership, human-centered healthcare AI, more
Never mind artificial general intelligence. Worry about artificial superintelligence.
AI dramatically improves the detection of severe heart attacks
Researchers put an advanced AI model to the test, using it to evaluate the ECG results of more than 1,000 patients. It performed quite well.

XACT Robotics announces $36M financing round

XACT Robotics, a radiology technology company with offices in the United States and Israel, raised $36 million in its latest financing round.

Researchers worry that AI could be scaring students away from radiology

That’s according to a new survey of healthcare stakeholders, highlighted in November’s European Journal of Radiology.

AI helps radiologists spot lung cancer on chest x-rays

In fact, clinicians who took a second look at x-rays using the deep learning software improved their sensitivity, on average, by 5.2%.

Neural network improves imaging technique for an advanced look at cancer cells

The novel method uses a deep neural network to improve fluorescence lifetime imaging, which allowed scientists at Rensselaer Polytechnic Institute to view molecular-level interactions within cells.

Researchers use color x-ray scanner, ‘GPS particles’ to pinpoint microfractures

Besides pinpointing microfractures, the researchers believe combining color spectral CT imaging with their novel nanoparticles could help detect more serious problems such as heart blockages.

7T MRI reveals new view of damage in multiple sclerosis patients

"The 7T MRI scanner affords us new ways of viewing areas of damage in neurologic diseases such as MS that were not well seen using 3T MRI," corresponding author Jonathan Zurawski, MD, said.

AI helps radiologists spot lung tumors, drop false positives

A deep learning software tool powered by artificial intelligence has been proven to boost clinicians’ ability to detect lung cancer on chest x-rays.

More than 25% of students not considering radiology cite AI as the reason why, survey finds

Radiologists, medical students and surgeons all agree that AI should be incorporated into diagnostic radiology, but for the most part their perceptions of the technology are drastically different.

Artificial Intelligence

Healthcare AI today: Exhorted doctors, shifting nurses, safe psychologists, more

Radiologist-led breast imaging AI vendor Clairity raises $43M

Less than 30% of FDA-authorized radiology AI devices have undergone clinical testing

Healthcare AI today: Artificial superintelligence, Heart Association AI leadership, human-centered healthcare AI, more

AI dramatically improves the detection of severe heart attacks