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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Half of spinal cord injury patients may still have connection

An Australian study published Jan. 30 in the journal Human Brain Mapping found half of spinal cord injury patients may still have some connectivity.

MedyMatch Technology granted approval to fast-track AI software

MedyMatch Technology, a company dedicated to improving physician focused patient-assessments through artificial intelligence (AI) revealed it has been granted Expedited Access Pathway (EAP) designation by the United States Food and Drug Administration for intracranial hemorrhage detection software, according to a press release by the company.

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Paul Chang: 3 things to know about AI, deep learning in 2018

As medical imaging continues to evolve, Health Imaging spoke with enterprise imaging and health informatics expert Paul Chang, MD, professor of radiology and vice chair rad informatics at the University of Chicago Medicine, about what practitioners and healthcare technology leaders should keep in mind regarding artificial intelligence (AI) and deep learning in the coming year.  

Mayo unveils 7-Tesla MRI for clinical use

Mayo Clinic in Rochester, Minn. can now boast of having the only clinically-used 7-Tesla MRI scanner in North American, the Post-Bulletin reports.

Virtual reality, fMRI help ID memory areas of the brain

Neuroscientists have used virtual reality coupled with fMRI to pinpoint where and how memories are recalled, according to a study published in Nature Communications.

Canon Medical Systems Partners with QED to Accelerate Development of New, Innovative MRI Technology

Canon Medical Systems USA, Inc., in partnership with Quality Electrodynamics (QED), installed a Vantage GalanTM 3T MR system at the new QED Research Center in Mayfield Village, Ohio. The system, QED’s first research resource, is being utilized to image volunteers in efforts to develop new MR technologies, such as the development and testing of radio frequency coils. The system will also be made available to local university-based researchers and other commercial organizations to test the compatibility and performance of their products in the MR environment.

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PET trumps MRI in detecting damaged nerves in MS patients

Myelin, a fatty substance that sheaths nerves, is often damaged or missing in individuals with multiple sclerosis (MS). Physicians have depended on MR to detect demyelination, but the modality is incapable of differentiating between lost or damaged myelin and inflammation.

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PET links accelerating memory decline to APOE ε4 allele

According to a recent study published in JAMA Neurology, memory decline and the potential to develop Alzheimer's disease may increasingly accelerate with age in certain individuals. 

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GE HealthCare launches new cardiac CT scanner with advanced AI capabilities

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Bracco updates HeartSee coronary flow capacity software with new diagnostic features

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Key trends in diagnostic heart testing: CT on the rise as some traditional techniques fall out of favor

The cardiac technologies clinicians use for CVD evaluations have changed significantly in recent years, according to a new analysis of CMS data. While some modalities are on the rise, others are being utilized much less than ever before.