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.

Coronary CT AI firm HeartFlow scraps $2.4B merger deal, citing ‘unfavorable market conditions’

Hedge fund investors and the Redwood City, California, vendor considered adjusting the sale price, but opted to terminate the deal instead.

Why radiologist virtue is so important in the AI era: 6 pieces of advice

“In the end, no matter how smart the machines are with their algorithms and mysterious black boxes, they are no match for human virtue when it comes to preserving patient trust and the survival of the profession,” one expert said in AJR.

Combining neural network with breast density measurements boosts interval cancer detection rates

With up to 30% of breast cancers developing in between screenings, there is a great need to improve risk assessments, experts discussed recently in Radiology.

Carestream scores FDA clearance for tool to reduce radiation dosage during imaging

The artificial intelligence-powered product could prove valuable during neonatal and pediatric exams, leaders said.

Man vs. Machine artificial intelligence AI

Radiogenomics could personalize cancer care, but experts are still hesitant to embrace the method

Combining radiomic data from imaging exams with genomic insights may be a long way off, but its potential may change the oncology landscape, experts suggested in Clinical Imaging.

AI-based system affords physicians more flexible schedules, minimizes burnout triggers

Physicians reported higher engagement scores while receiving extra vacation days, greater flexibility, more predictable schedules and fewer denied days off.

MR-guided thermoseeds can destroy cancerous brain tissue

"Improving the precision of treatment delivery is arguably the greatest unmet need we have in contemporary medicine," experts explained in Advanced Science.

Medical malpractice and AI: 4 response strategies when rejecting an algorithm’s advice backfires

Sharing the decision-making process with patients and working with vendors to establish liability beforehand are both wise, experts wrote in JACR.

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