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.

Is AI just what the doctor ordered for the radiologist shortage? Yes and no
AI shines in radiology when tasked with interpreting images of patients whose odds of illness are either very high or very low. In these cases, the technology could help mitigate burnout and supplement staffing.
AI predicts pediatric cancer recurrence with impressive accuracy
Researchers have developed a deep learning model that can spot longitudinal changes in patients' brain imaging that could be indicative of cancer recurrence.
AI helps cardiologists terminate AFib for good with ablation
Advanced AI can provide real-time feedback to cardiologists, helping them deliver high-quality care.
Big-name healthcare orgs tap AI to improve breast imaging workflows
These moves come as healthcare organizations are increasingly seeking ways to integrate artificial intelligence into daily clinical duties.
Congress should relax budget neutrality to pay for imaging AI, industry lobbying group urges
"As the nation’s largest payer of healthcare, Medicare’s policies on coverage and payment for AI technologies are especially critical," AdvaMed says.

Behavioral health AI predicts effectiveness of talk therapy

USC’s Signal Analysis and Interpretation Laboratory built the AI model with transcripts from more than 1,100 real conversations with patients.

Radiologist-founded firm using artificial intelligence to alleviate burnout raises $25M

Artis Ventures led Rad AI's Series A financing round, with additional contributions from existing backers including Google's AI-focused investment arm.

Radiologist-backed imaging software firm Sirona Medical balloons fundraising total to $60M

The San Francisco startup is creating a cloud-based radiology operating system it says can unify fragmented IT and simplify workflows.

Imaging disrupter Nanox closes $200M-plus in deals to purchase AI firm, teleradiology outfit

Zebra Medical Vision will fetch $110M at closing, paid in shares of Nanox’s stock, with $84M more available through performance incentives.

Prostate cancer grading and quantification is significantly more accurate with AI-assisted platform

The tool may lead to substantial clinical management benefits for those with the disease, according to a new study in JAMA Network Open.

AI gets $20M infusion to go on the offensive against Alzheimer’s

The new center’s founders say they’ll prioritize addressing healthcare disparities associated with the disease itself and with other types of dementia.

Top AI, emerging-tech stories in radiology and cardiology over the past 30 days

From AIin.Healthcare’s sister outlets Cardiovascular Business, Health Imaging and Radiology Business:

‘Imaging at the speed of light’: New detector may enable cheaper, more accurate scans

The development involves ultrafast photon detectors and doesn't rely on conventional tomography, researchers reported recently in Nature Photonics.

Artificial Intelligence

Is AI just what the doctor ordered for the radiologist shortage? Yes and no

AI predicts pediatric cancer recurrence with impressive accuracy

AI helps cardiologists terminate AFib for good with ablation

Big-name healthcare orgs tap AI to improve breast imaging workflows

Congress should relax budget neutrality to pay for imaging AI, industry lobbying group urges