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: Another angle on AI regulation, move fast but don’t break things, WISeR in the real world, more
Getting healthcare AI to fulfill its destiny—can we call it that now?—will require ‘scenario-based’ consideration of every use case.
Lit review identifies a ‘glaring gap’ involving older Americans and healthcare AI
Conventional wisdom has it that older adults willingly lag behind younger subpopulations when it comes to reaping the benefits of emerging healthcare technologies, including AI.
AI model nearly halves false positive rates for lung cancer CT screenings
Reducing false positives could decrease the frequency of unnecessary procedures, lower the associated costs and also ease patient anxiety concerning CT results.
A robot may soon be handling patients' ultrasounds in a Wisconsin health system
The machine will be operated remotely by a sonographer who has been trained to conduct remote ultrasound exams.
Large hospital system implements radiology AI tool across its entire network
The move highlights the growing trend of organizations turning to artificial intelligence to help address some of healthcare's most pressing issues.

AccentCare turns to AI for readmissions help

Home healthcare provider AccentCare is leveraging AI to track social determinants of health and potentially lower readmissions.

AI spots budding conspiracy theories on social media, helping public health officials intervene

By learning how such theories develop online, health advocates can create factual information campaigns to stop falsehoods from spreading.

Imaging operator RadNet notches first FDA clearance for AI mammography assistant

The publicly traded company and its artificial intelligence subsidiary DeepHealth called the Food and Drug Administration's decision a "major milestone."

Advanced AI model predicts risk of CVD death using low-dose CT exams

Sharing their findings in Radiology: Cardiothoracic Imaging, the researchers said their AI model should be easy to implement without creating a lot of additional work.

Routine lung cancer screening presents new opportunity to predict CVD mortality

Using deep learning, researchers can gather necessary calcification data in less than half a second.

Neuroimaging experts win $3M grant to explore mental illness with 4D brain scanning

Georgia State University will study schizophrenia, bipolar disorder and autism spectrum disorder over a five-year span.

Who will be liable in the coming AI age? 4 things for radiologists to know

The current legal environment is uncertain, but radiologists should familiarize themselves with potential pitfalls, experts explained in Skeletal Radiology.

Microsoft to acquire radiology vendor Nuance in $19.7B deal

Officials with the Redmond, Washington-based tech giant said healthcare artificial intelligence was a key piece of the blockbuster acquisition.

Artificial Intelligence

Healthcare AI today: Another angle on AI regulation, move fast but don’t break things, WISeR in the real world, more

Lit review identifies a ‘glaring gap’ involving older Americans and healthcare AI

AI model nearly halves false positive rates for lung cancer CT screenings

A robot may soon be handling patients' ultrasounds in a Wisconsin health system

Large hospital system implements radiology AI tool across its entire network