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.

Healthcare AI today: Bipartisan AI policy guidance, AI claims denials, LLM brain rot, more
Federal lawmakers have a fresh resource to keep them up on healthcare AI that falls outside of formal FDA oversight. It comes in the form of a new report from the nonprofit Bipartisan Policy Center.
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.

Fujifilm to host AI symposium, debut new initiative at RSNA 2018

Fujifilm Medical Solutions USA will host an educational symposium highlighting the influence of artificial intelligence (AI) and present its new AI initiative at RSNA 2018 in Chicago.

Radiomics, AI fall short of radiologists in breast lesion classification on MRI

Radiologists outperformed a convolutional neural network (CNN) and radiomic analysis (RA) at classifying contrast-enhancing lesions on multiparametric breast MRI, according to a Nov. 13 study published in Radiology. With more training, however, CNNs may soon close that gap.

$3.5M granted to develop robotic system to treat brain tumors

The National Institutes of Health has awarded a $3.5 million grant to help researchers develop a robotic system that “destroys” metastatic brain tumors with high-intensity therapeutic ultrasound and real-time imaging.

How a miniaturized pipe organ could improve ultrasound images

A miniaturized version of a musical instrument developed by researchers at the University of Strathclyde in Glasgow, Scotland, can’t produce actual music, but it may improve the quality of medical images, according to research published in the October issue of IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

5 researchers awarded 2018 Canon Medical Systems, RSNA grants for imaging, AI projects

The one-year grants—ranging from $3,000 to $40,000—were made possible by Canon Medical Systems USA’s support of the Radiological Society of North America (RSNA) Research & Education R&E Foundation, according to a Canon Medical Systems press release published Nov. 12.

AI software for detecting brain bleeds receives FDA approval

The FDA recently administered 510(k) clearance to software developed by MaxQ AI that uses AI to detect brain bleeds on CT images, according to a report published Nov. 8 by AI in Healthcare.

Australian university hopes digital pathology method can address pathologist shortage

A team at the University of Queensland in Australia is working on a digital pathology slide technique that would speed up patient diagnosis and help address the country’s pathologist shortage, according to a university release.

FDA approves new AI software for brain bleed diagnosis

MaxQ AI’s Accipio Ix intracranial hemorrhage (ICH) detection software has gained FDA clearance, the company announced this week.

Artificial Intelligence

Healthcare AI today: Bipartisan AI policy guidance, AI claims denials, LLM brain rot, more

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