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 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.
Newswatch: AI for Medicare folk, AI uncertainty at the FDA, generative ghosts, more
AI is making patient financial advisors of hospital administrators who used to work in revenue cycle management.

Regulators clear final hurdle in Microsoft’s $19.7B acquisition of Nuance Communications

Company officials said recently that they hope to close the mega merger deal by the end of March.

Deep learning model triages brain MRIs for abnormalities to prioritize reads

The deep learning model was trained to recognize abnormalities in real-time, reducing delays in image interpretation for clinically relevant findings.

Multimodal AI platform can accurately diagnose and stage thyroid cancer via ultrasound images

The platform was developed using a combination of four different AI methods, according to research presented at the 2022 Multidisciplinary Head and Neck Cancers Symposium.

AI can identify significant findings on scanned radiology reports, reduce manual workloads

Researchers created an automated pipeline that can spot clinically significant abnormalities that would require follow-up on documents scanned into the EHR.

Radiologist-backed software startup Sirona Medical acquiring assets, personnel from AI firm Nines

The deal includes Nines' data pipeline, machine learning engines, analytics tools, and two U.S. Food and Drug Administration-cleared products.

Automated CT scoring system accurately predicts prognosis in stroke patients

The study used non-contrast CT and CT perfusion imaging to analyze agreement between an automated reader and human radiologists with differing experience levels.

MindMaze secures $105 million to expand commercial growth

The financing was led by Concord Health Partners in conjunction with AlbaCore Capital Group and London-based Hambro Perks.

Legal ramifications to consider when integrating AI into daily radiology practice

“Formidable legal obstacles threaten AI’s impact on the specialty and, if unchanged, have the potential to preclude the future success of this emerging industry,” experts cautioned in AJR.

Artificial Intelligence

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

Newswatch: AI for Medicare folk, AI uncertainty at the FDA, generative ghosts, more