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. 

Thumbnail

Australian researchers’ ‘ultra’ ultrasound could boost sensitivity of standard imaging

Researchers from the University of Queensland in Australia have developed “ultraprecise ultrasound” sensors that are sensitive enough to hear the formation of surrounding air molecules, according to new research published online Jan. 10 in Nature Communications.

User experience on chatbot apps need improvement, report says

Though more healthcare providers are using chatbots—or conversational AI—to connect with patients, the technology needs to improve in certain areas to earn the trust of its users and achieve widespread adoption, according to recent survey by UserTesting.

Thumbnail

Healthcare 1 of 13 industries to be radically changed by AI

Healthcare, including imaging, is one of 13 industries that will soon be “revolutionized" by artificial intelligence (AI) and machine learning (ML) technologies, according to a new report published in Forbes.

Thumbnail

3D-printed implant created from MRIs may help treat spinal cord injuries

Using 3D printing, researchers from the University of California San Diego created spinal cord implants modeled from MRI scans that support nerve cell growth in spinal cord injuries and help restore lost physical mobility, according to a new study published online Jan. 14 in Nature Medicine.

Thumbnail

Novel microscopy method enables high-resolution study of neural brain circuits

A novel imaging technique combining two microscopy methods allowed researchers to visualize neural circuits across the brain at four-times that of typical resolutions, according to research published Jan. 17 in Science. The approach can be completed much faster than previously thought possible.

Thumbnail

AI helps radiologists assess axillary lymph nodes

Artificial intelligence (AI) can be trained to predict a patient’s likelihood of axillary lymph node metastasis using a breast MRI dataset, according to a study published in the Journal of Digital Imaging.

Thumbnail

Researchers receive $196K grant to address issues related to AI, transparency in healthcare

Researchers at Duke University have been awarded a $196,000 grant to address a growing issue related to the use of artificial intelligence (AI) in healthcare: the gray area between explaining decisions to patients and protecting trade secrets associated with clinical decision support (CDS) software. 

Thumbnail

3D imaging of tissue oxygenation may improve cancer treatments

“Knowing about the oxygenation (of tissues) might allow us to tailor the therapy to make it better and to use other therapeutic interventions that are more appropriate,” said Vikram Kodibagkar, PhD, an associate professor of engineering at Arizona State University in Tempe, according to a recent university news release.