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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NIH awards $725K grant to detect neonatal brain injury using photoacoustic imaging

Kamran Avanaki, PhD, will use the money to continue developing a point-of-care, 3D neonatal imaging system.

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Radiology AI company Zebra Medical names new CEO, eyes expansion

Ohad Arazi will assume the role of chief executive at the Israel-based company on March 1, replacing co-founder Eyal Gura. 

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PET imaging reveals weakened brain connections in schizophrenia patients

The findings may offer new targets for researching and treating patients with the condition.

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Researchers awarded $1.2M to study effects of AR-based medical training

Researchers from the University of California Irvine (UCI) School of Medicine have received $1.2 million to study the potential psychological impact of augmented reality (AR) medical simulation training.

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Can VR play a valuable role in medical imaging training?

Students can use virtual reality (VR) training to learn about radiographic hand positioning skills, according to a new study published in Radiography. How would this compare to other training techniques?

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FDA clears artificial intelligence package to help radiologists speed up stroke diagnosis

This is the fourth such approval for Tel Aviv, Israel-based Aidoc, which now offers a full package of AI tools to allow for quicker identification of the event. 

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Researchers create first 3D image of heart RNA structure

Scientists from New Mexico-based Los Alamos National Laboratory believe their work could pave the way for new strategies in regenerative medicine for heart conditions.

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Exploring EMR data reveals effective treatment patterns

Exploring electronic medical records (EMRs) can help healthcare providers learn more about typical treatment patterns for specific situations, according to new findings published in Artificial Intelligence in Medicine.