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.

PET-trained AI predicts Alzheimer’s 6 years before diagnosis

A new artificial intelligence (AI) algorithm trained on 18-F-fluorodeoxyglucose PET (18FDG-PET) scans can predict the occurrence of Alzheimer’s disease at least six years before diagnosis with 100 percent sensitivity, according to research published Nov. 6 in Radiology.

Virtual reality game may alleviate children's fears of MRI scans

A 17-year-old Minnesota native has designed a virtual reality (VR) game to help prepare kids for MRI exams and alleviate pre-scan anxiety, according to an article published Nov. 4 by the Twin Cities Pioneer Press in Minnesota.

AI predicts how breast tumors will respond to chemotherapy

Artificial intelligence (AI) can help predict how a breast tumor will respond to neoadjuvant chemotherapy (NAC), according to new findings published in the Journal of Digital Imaging.

AI robots making big impact in elderly care

Artificial intelligence (AI) is changing the way healthcare providers care for elderly patients through a variety of new AI-powered solutions. One tool that’s making a big splash in the field is the robotic helper, according to a report by Forbes.

AI robots to help reduce emergency room wait times

A University of Toronto professor believes artificial intelligence (AI) and robotics will play a key role in streamlining healthcare delivery for patients, and hopes a new AI robot can lead the way.

MRIs beyond 10 Tesla are on the rise internationally

“The appeal of ultra-high-field scanners is clear. The stronger the magnetic field, the greater the signal-to-noise ratio, which means the body can be imaged either at greater resolution, or at the same resolution, but faster,” according to an article published Oct. 31 by Nature.com.

FDA approves USC's 7 Tesla MRI for clinical use

The scanner—installed at the University of Southern California’s Mark and Mary Stevens Neuroimaging and Informatics Institute (INI) in February 2017—may help in the development of care, treatment and monitoring of patients with Alzheimer’s disease, multiple sclerosis and other neurological diseases.

Mayo Clinic teams up with VR training platform

The Mayo Clinic in Rochester, Minnesota, is partnering with FundamentalVR, a virtual reality (VR) training and data analysis technology platform in London, to develop several surgical VR simulation and educational products.

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