Artificial Intelligence | Radiology Business

Artificial Intelligence

Facebook, NYU collaborate on using AI to speed up MRIs

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Facebook and the department of radiology at NYU School of Medicine in New York City have announced a new collaboration that will focus on using artificial intelligence (AI) to make MRI scans up to 10 times faster.

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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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Harvey L. Neiman Health Policy Institute, Georgia Tech announce $3M partnership focused on AI, data analytics

The American College of Radiology’s Harvey L. Neiman Health Policy Institute and Georgia Institute of Technology in Atlanta have announced a new partnership focused on applying analytics and artificial intelligence (AI) to large medical claims databases.

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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.

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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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AI software cuts long radiation therapy planning process to just 20 minutes

A team at the University of Toronto has successfully developed artificial intelligence (AI) that helps automate the radiation therapy planning process, potentially saving radiologists from several days of work on just one patient.

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Global market for AI in medical imaging expected to top $2B by 2023

The global market for artificial intelligence (AI) in medical imaging is expected to see significant growth in the years ahead, topping $2 billion by 2023, according to a new report from Signify Research.

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RSNA to use annual conference to cultivate machine learning, AI knowledge

The Radiological Society of North America (RSNA) is staying future-focused for its annual symposium in Chicago in November. According to a statement from the organization, machine learning and artificial intelligence (AI) will be playing an expanded role at this year’s conference.

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RSNA outlines numerous AI, machine learning initiatives

RSNA announced Wednesday, August 1, that it has big plans for educating members about artificial intelligence (AI) and machine learning (ML) for 2018 and beyond.

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Researchers use deep learning to detect cartilage lesions in knee MR images

Deep learning technology can be used to evaluate MR images of the knee, according to a new study published in Radiology.

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What are Twitter users saying about AI in radiology? 3 key takeaways

Artificial intelligence (AI) is an immensely popular topic in radiology, sparking countless discussions and debates about whether it will give radiologists a new tool for providing high-quality patient care or end up replacing them altogether.

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Q&A: Sham Sokka on how radiologists can leverage AI to minimize patient no-shows

Jul 20, 2018 | Artificial Intelligence

Sham Sokka, PhD, has spent the bulk of his career in radiology, where he’s worked for 15 years with a range of clients to shape and customize imaging modalities, workflows and software.

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AI research on photo quality could work wonders for medical imaging

Jul 18, 2018 | Artificial Intelligence

Researchers have shown that they can use artificial intelligence (AI) to restore low-quality photos by exposing a neural network to only other low-quality photos, according to work presented at the International Conference on Machine Learning in Stockholm.

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AI in radiology: 3 key ethical issues the specialty must address

Jul 17, 2018 | Artificial Intelligence

As the influence of artificial intelligence (AI) continues to grow in radiology, the specialty must come together to re-examine its ethics and code of behavior, according to a new commentary published in the Journal of the American College of Radiology.

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CAD system uses deep learning to detect, segment, classify masses from mammograms

Jul 13, 2018 | Artificial Intelligence

Researchers have developed a fully integrated computer-aided diagnosis (CAD) system that detects, segments and classifies masses from mammograms using deep learning and a deep convolutional neural network (CNN), according to a new study published by the International Journal of Medical Informatics.

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Machine learning analyzes MRIs to identify schizophrenia with 78% accuracy

Jul 13, 2018 | Artificial Intelligence

Researchers have shown that machine learning can identify if a patient has schizophrenia by analyzing an MRI of their brain, according to a new study published in Molecular Psychiatry.

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ACR DSI co-sponsoring 2-day workshop focused on AI in medical imaging

Jul 10, 2018 | Artificial Intelligence

The American College of Radiology Data Science Institute (ACR DSI) announced this week that it is co-sponsoring a National Institute of Biomedical Imaging and Bioengineering (NIBIB) workshop about artificial intelligence (AI) in medical imaging.

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