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.

Stanford Radiology’s AI Lab inks strategic partnership with Rad Partners
Under terms of the new team-up, the two organizations plan to pioneer methods for assessing and monitoring artificial intelligence tools in medical imaging.
Overconfident patients, underconfident nurses, pilot failures & more AI briefings
More than 75% of U.S. nurses have high hopes in generative AI’s promise for improving productivity. But less than half feel prepared to use it effectively.
Artificial intelligence helps assign CPT codes for interventional radiology procedures
Translating procedures into standardized billing codes can be an arduous task, but researchers believe large language models offer an opportunity to simplify this work.
AI model turns POCUS images into accurate structural heart evaluations
Researchers see potential for this technology to make cardiac screening much easier for physicians who are not trained cardiologists.
Why Condi Rice believes AI and other emerging technologies have our world in a ‘hinge-of-history’ moment | and more AI news, views & findings
Those who closely follow news and views on AI risk missing out on nine other technology categories that are changing our world just as fast. Or, as Stanford Prof. Condoleezza Rice puts it, “History will judge not only what we invented but also how and why we chose to do so.”

Ethics researchers warn of healthcare AI’s potential for widening gaps between haves and have-nots

Healthcare AI is advancing too quickly for its users to fully comprehend the implications of its design, development and applications, according to bioethics specialists who scanned the literature.

AI tells radiologists which CTs to read next, slashing wait and turnaround times, but some are skeptical

The tool reprioritizes head CT exams with intracranial hemorrhage, however, a pair of Wisconsin rads have some lingering questions about its choices.

Prominent imaging groups push for first radiology-specific artificial intelligence CPT code

The Category 3 code proposal would cover AI analysis for the detection of vertebral fractures and could take effect as soon as Jan. 1, 2022.

Oxford experts: ‘Ethically unacceptable’ to bypass impact testing of AI-powered clinical decision support

AI-based CDS tools that perform well in clinical trials will flounder on the way to clinical practice if they’re not evaluated early and thoroughly for their effects on real-world clinical decisionmaking.

Mass General uses artificial intelligence to bust imaging language barriers during COVID-19 pandemic

RadTranslate is a web app that creates AI-spoken, natural-sounding audio clips, and it's available free of charge for practices struggling to find interpreters.

Deep learning validated on 20K patients uses CT scans to predict cardiovascular risk

Coronary artery calcium scores generated by the system matched those manually performed by a human expert.

$3.1M project will combine neuroimaging, AI to enhance Army battlefield training and care

Rensselaer Polytechnic Institute researchers hope to use brain activity data, along with other metrics, to enhance prolonged field care certification.

Cardiologist’s AI software tracks the health of COVID-19 patients, updating every 2 seconds

“Vital sign measurements and labs can come too late, but early detection through predictive analytics has the power to improve patients’ outcomes, especially for catastrophic illnesses like COVID-19,” the software's creator said.

Artificial Intelligence

Stanford Radiology’s AI Lab inks strategic partnership with Rad Partners

Overconfident patients, underconfident nurses, pilot failures & more AI briefings

Artificial intelligence helps assign CPT codes for interventional radiology procedures

AI model turns POCUS images into accurate structural heart evaluations

Why Condi Rice believes AI and other emerging technologies have our world in a ‘hinge-of-history’ moment | and more AI news, views & findings