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

Publicly traded radiology provider Akumin buys 34% stake in AI firm for $4.6M

The Plantation, Florida, imaging center operator declined to disclose its partner's name for "strategic reasons." 

Diamond tracers may be vital key to cost-friendly, high-resolution imaging

These microdiamonds can be detected simultaneously via optical and radiofrequency imaging methods, opening up a number of new possibilities.

2-way BCI gives greater limb control to people with paralysis

Bioengineers have developed a brain-computer interface that replicates the sense of touch, allowing a robotic arm and hand to not only receive command signals from the brain but also send back signals of stimulation.

Thumbnail

‘Image fusion’ significantly enhances scan quality and may improve clinical diagnoses

Researchers applied the deep learning-based process to MRI, CT and SPECT images, sharing their methods in the International Journal of Cognitive Computing in Engineering.

International group calls for more nursing in healthcare AI—and vice versa

The profession of nursing is something of a sleeping giant within the global village of healthcare AI, according to an interdisciplinary collaborative of healthcare workers from North America and Europe.

Thumbnail

Leading radiology, healthcare groups announce machine learning challenge for detecting COVID-19

RSNA and the Society for Imaging Informatics in Medicine are among those hosting the challenge.

Thumbnail

Artificial intelligence predicts if lung nodules found on CT will become cancerous

Dutch researchers believe the program could lead to fewer unnecessary diagnostic interventions, lower radiologists' workloads and reduce the costs of cancer screening. 

lung cancer pulmonary nodule chest

Artificial intelligence-radiologist combo reduces missed lung cancer diagnoses by 60%

Taking a radiologist-centric approach to AI development holds promise for catching systematically missed lung cancers, experts wrote recently.