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 algorithm detects lung nodules with 95% accuracy

Researchers at the University of Central Florida’s Center for Research in Computer Vision have created an artificial intelligence (AI) algorithm that can detect specks of lung cancer in CT scans with 95 percent accuracy.

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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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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?

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Lightning-fast AI detects disease in CT scans faster than radiologists

Researchers have developed an artificial intelligence (AI) platform that can detect acute neurologic events in CT images in just 1.2 seconds, according to a new study published in Nature Medicine.

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Machine-learning algorithm cuts drug doses by as much as 50% for glioblastoma patients

A machine-learning algorithm that uses a technique known as reinforced learning can dramatically cut toxic chemotherapy and radiotherapy by optimizing treatment plans and drug dosages for glioblastoma patients, according to research out of the Massachusetts Institute of Technology.

iCAD gains FDA clearance for AI software that calculates breast density

iCAD announced that its PowerLook Density Assessment 3.4 solution has gained FDA clearance. The software, compatible with iCAD’s digital breast tomosynthesis solutions, uses artificial intelligence to assess patients’ breast density.

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Aidoc gains FDA clearance for AI solution that detects suspected ICH cases, alerts radiologists

Aidoc, a Tel-Aviv, Israel-based medical imaging company, announced Wednesday, August 8, that it has gained FDA clearance for its brain solution that helps radiologists flag acute intracranial hemorrhage (ICH) cases using artificial intelligence (AI).

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AI identifies tumors in colorectal cancer patients with 93% accuracy

Researchers from South Korea have used artificial intelligence (AI) to successfully identify tumors in histology images obtained from colorectal cancer (CRC) patients, sharing their findings in the Journal of Digital Imaging.

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Around the web

Health Imaging
American College of Radiology announces significant expansion of Lung Cancer Screening Registry

The ACR hopes these changes, including the addition of diagnostic performance feedback, will help reduce the number of patients with incidental nodules lost to follow-up each year.

Health Imaging
AI reduces CT lung cancer screening workload by nearly 80%

And it can do so with almost 100% accuracy as a first reader, according to a new large-scale analysis.

Health Imaging
Nearly $800,000 settlement offered to family of man who died during MRI exam

The patient, who was being cared for in the ICU, was not accompanied or monitored by nursing staff during his exam, despite being sedated.