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. 

Did x-rays solve this 3.2-million-year-old mystery?

Lucy, a 3.2-million-year old skeleton of the hominim species Australopithecus afarensis, is among the most famous specimens in anthropology since her discovery in Ethiopia in 1974. A recent report in Nature Communications details how a team used the High-Resolution X-ray Computed Tomography Facility at Jackson School of Geosciences to scan Lucy for 10 consecutive days.

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MR-guided brain ultrasound helps rouse coma patient back to consciousness

Neuroscience researchers and clinicians at UCLA have used MR-guided ultrasound to help rouse a recovering coma patient to a more alert state of consciousness. 

New zinc-focused MRI technique can ID cancerous prostate tissue

Distinguishing between healthy and cancerous cells just might be the biggest hurdle in cancer care physicians have encountered. A new MRI technique developed by radiologists at UT Southwestern Medical Center in Dallas have fixed that problem using zinc.

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Autism expert slams controversial fMRI paper

Remember the literature review claiming that most fMRI exams performed across two and a half decades were, unbeknownst to researchers relying on the findings, riddled with false positives due to deficient software systems?

In Mississippi, an imaging org so advanced it provides pathology services for insect breeders

Its interests sprawl well beyond healthcare, but the Institute for Imaging & Analytical Technologies at Mississippi State University is worth a look from those whose primary work with imaging is in the medical sphere. 

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fMRI brain study unpacks, predicts sentence-level verbal expression

Researchers have used functional MRI (fMRI) to come up with a way to predict neural patterns produced by words within sentences. Building on previous studies that focused on single words lighting up parts of the brain, the team correctly anticipated brain-activity patterns at the sentence level to the tune of 70 percent accuracy, on average.

This is Sting’s brain on music

In order to get his brain scanned, musician Gordon Matthew Thomas Sumner had to wait out a power outage. The delay forced him to take the stage for a concert without first doing a soundcheck. But now the entertainer, whom the world knows as Sting, is happy with the results of an fMRI study in which he was the sole subject.

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fMRI shows kids’ brains lighting up for unhealthy foods pushed on TV

Neuroscience isn’t needed to know that food commercials influence children’s choices of what to eat and how determinedly to demand it. If those ads for sugary, fatty, high-sodium, low-fiber and fun-to-eat products didn’t work, the food and beverage industry wouldn’t be spending $2 billion per year to create and place them.  

Around the web

GE HealthCare designed the new-look Revolution Vibe CT scanner to help hospitals and health systems embrace CCTA and improve overall efficiency.

Clinicians have been using HeartSee to diagnose and treat coronary artery disease since the technology first debuted back in 2018. These latest updates, set to roll out to existing users, are designed to improve diagnostic performance and user access.

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.