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.

Common features of breast cancers missed by AI
Imaging experts advocate for “meticulous assessments” of cases that include luminal cancer, dense breasts, and lesions located outside the mammary zone, among other factors.
Why do AI-savvy consumers harbor skepticism toward medical AI?
Patients who frequently use AI tend to readily trust AI-assisted diagnoses made by their physicians. Counterintuitively, however, those who would rank themselves among the very best-informed about AI tend to mistrust such diagnoses.
AAA detection gets boost from commercially available AI algorithm
The opportunistic screening helps identify patients in need of monitoring and/or intervention without disrupting workflows.
Healthcare AI today: Senate arguments, aging infrastructure, ‘elastic’ jobs, more
States’ rights or federal power? Senate Republicans are of two minds on AI regulation in the One Big Beautiful Bill.
That’s no mere hospital—it’s a ‘complex adaptive system.’ Use GenAI accordingly.
From the perspective of management science, healthcare is a complex adaptive system marked by intricate feedback loops and overlapping interdependencies. As such, the sector demands caution by those introducing large-language AI into its tangled webs.

Will AI provide true value to women’s imaging? That depends …

Artificial intelligence (AI) could be a true game-changer for medical image interpretation, especially women’s imaging. But nothing is guaranteed.

4 areas AI must excel in to improve women’s imaging

For AI to become clinically feasible in women’s imaging, it must excel in the areas of performance, time, workflow and cost, according to an opinion piece published online in the American Journal of Roentgenology.

RANZCR releases draft guidelines on appropriate use of AI in healthcare

The Royal Australian and New Zealand College of Radiologists (RANZCR) announced Thursday, Feb. 21, that it has published a draft of its guidelines for the appropriate use of AI and machine learning (ML) in healthcare.

AI accurately predicts survival of ovarian cancer patients from CTs

The software, which analyzes tumors on CT scans, was up to four-times more accurate at predicting ovarian cancer deaths compared to standard methods, according to research published Feb. 15 in Nature Communications.

AI predicts ovarian cancer survival rates from CT scans

AI can predict a woman’s survival rate and response to treatments for ovarian cancer more accurately than current methods, according to research published online Feb. 15 in Nature Communications.

IBM Watson Health announces $50M investment in advancing AI in healthcare

IBM Watson Health has announced a new 10-year, $50 million investment in joint research collaboration projects with Brigham and Women’s Hospital in Boston and Vanderbilt University Medical Center (VUMC) to advance the application of artificial intelligence (AI) in public health.

Zebra Medical Vision receives 3 grants to implement AI solutions throughout Israel

Zebra Medical Vision announced it has received grants from the Israel Innovation Authority to implement its AI algorithms in three of Israel's largest medical institutions.

New AI toolkit can provide cellular insight into infectious pathogens

The new platform, affectionately called ‘Herman,' analyzes complex patterns in images of pathogen and human cell interactions, and can do so in a fraction of the time normally required.

Artificial Intelligence

Common features of breast cancers missed by AI

Why do AI-savvy consumers harbor skepticism toward medical AI?

AAA detection gets boost from commercially available AI algorithm

Healthcare AI today: Senate arguments, aging infrastructure, ‘elastic’ jobs, more

That’s no mere hospital—it’s a ‘complex adaptive system.’ Use GenAI accordingly.