Harvard Medical School researchers in collaboration with 3D bioprinting firm Aether recently introduced a 3D printing software that uses artificial intelligence (AI) to reproduce medical images of organs as 3D models.

Artificial intelligence (AI) continues to change the way radiologists work. The major shift predicted by many isn’t happening as quickly as expected—but AI is reaching areas some didn’t anticipate.

Current Alzheimer’s disease research is primarily focused on symptoms, but a recent study proposed a new framework for understanding the disease based on biological brain changes and biomarkers.

Facebook's most recent data scandal had lawmakers grilling founder and CEO Mark Zuckerberg in a Senate hearing April 11 and presents bioethics lessons for healthcare leaders who are creating AI models for clinical decision making

W. Art Chaovalitwongse, PhD, from the University of Arkansas, discussed using radiomics versus deep learning-based features to predict clinical outcomes from medical imaging data.

Primary care physicians may now be able to identify moderate to severe levels of retinopathy in adult patients with diabetes using a recently FDA-approved artificial intelligence (AI) imaging device.

Contrast-enhanced subharmonic imaging (SHI)—a new technique for imaging of microbubble ultrasound contrast agents—detected prostate cancers not identified by traditional MRI, according to a recent study presented at the American Roentgen Ray Society (ARRS) 2018 Annual Meeting.

Researchers at MIT and Massachusetts General Hospital found indocyanine green, an FDA-approved and commercially available fluorescent dye, ideal in short-wave infrared (SWIR) imaging—a discovery that may allow clinicians to create clearer biological images, MIT News reports.