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. 

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AI software detects lung cancer on CT scans with 95% accuracy

Engineers at the University of Central Florida's Center for Research in Computer Vision have developed an artificial intelligence (AI)-based system that can detect lung cancer on CT scans with 95 percent accuracy, according to a UCF news release.

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Hybrid method may improve dataset quality, quantity for deep learning

A hybrid technique combining natural language processing (NLP) and IBM Watson can accurately label free-text pathology reports, according to a new Journal of Digital Imaging study. The method may improve the quality and quantity of large-scale datasets for deep learning.

VR headset lets families, caregivers empathize with Alzheimer’s

A Chicago-based company believes its virtual-reality (VR) training program can help caregivers and families empathize with Alzheimer’s patients, according to a Chicago Magazine story.

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Facebook, NYU collaborate to make MRI faster with AI

The project could produce MRI images up to 10 times faster and make MRI technology more widely available. These accelerated MRIs could also fill the role of x-ray and CT machines by making imaging quicker and safer, according to a Facebook news release.

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Intel, Philips work together to test how AI can speed up imaging analysis

Intel and Philips announced that they have joined forces to work on artificial intelligence (AI) by using Intel’s Xeon Scalable processors and OpenVINO toolkit to test two use cases for deep learning inference models.

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Light-emitting nanoparticles may provide safer deep-tissue imaging, guide radiation therapy

Researchers from the Department of Energy's Lawrence Berkeley National Laboratory have developed an imaging application that utilizes light-emitting nanoparticles and could provide a safer way to see deeper into living tissue and cells, according to research published in Nature Communications.

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AI accurately IDs diminutive polyps during colonoscopy

Computer-aided diagnosis (CAD) powered by artificial intelligence can accurately assess diminutive colorectal polyps, according to a new study published in Annals of Internal Medicine. But is the CAD’s performance level high enough that specialists can follow the recommended “diagnose-and leave” strategy for diminutive polyps?

Fluorescent dye enables longer bioimaging of single molecules

Chemists from Japan have developed a photostable fluorescent dye that enables long-term bioimaging of living cells in the near infrared region (NIR), according to a new study in Angewandte Chemie International Edition.

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