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.

Samsung scores FDA clearance for artificial intelligence aid that helps detect lung nodules

Company officials called the Food and Drug Administration determination a "huge milestone" for NeuroLogica, Samsung's healthcare subsidiary.

Man vs. Machine artificial intelligence AI

AI developed during high-profile competition rivals radiologists’ lung cancer predictions

Diagnostic scores assigned to chest CT scans can be used as a sign that providers must carefully inspect images for abnormalities, researchers said in Radiology: Artificial Intelligence.

Deep learning predicts metastasis probability in patients with non-small cell lung cancer

The AI approach may prove more effective than PET/CT, which can only diagnose N2 disease with 70-85% sensitivity, researchers reported Tuesday in Radiology.

Deep learning applied to chest radiographs efficiently identifies early interstitial lung disease

The results could lead to expanded use of chest radiography in interstitial lung disease clinics, experts reported in the American Journal of Roentgenology.

AI scores 1 against a knee injury common among athletes

The AI development team was guided by a sports-medicine specialist dubbed “the go-to orthopedic surgeon for many of the greatest athletes on the planet.”

New AI technology developments consistently recognize medical image anomalies

Promising new research methods have been able to train AI to more accurately spot image anomalies.

2-year chatbot mission unites scores of co-developers, yields ‘trustworthy and friendly Rosa’

Women’s health specialists have demonstrated the customization of a commercial AI-based chatbot platform for patients with hereditary breast and ovarian cancer. The pilot project took many hands and much manual labor to complete, but the team suggests the effort has been worth the payoffs.

AI has far to go before solving deafness, but along the way are opportunities to ‘reshape hearing healthcare’

AI technologies likely can go only so far toward improving on hearing aids and cochlear implants. However, AI and hearing experts expect fertile grounds to open for exploration in clinical as well as research arenas.

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