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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fMRI confirms state of ‘restful alertness’ during transcendental meditation

Ever since Mahesh Yogi introduced transcendental meditation to the West in the middle of the 20th century, researchers have sought to solidify claims that the practice offered a state of “restful alertness.” Recent research used fMRI to back-up that assertion.

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New AI imaging technique could improve quality, speed—without collecting more data

Researchers from Massachusetts General Hospital (MGH) have developed a machine learning and artificial intelligence (AI)-based technique that may generate higher quality images without having to collect additional data.

Kentucky hospital selects Carestream ultrasound systems for advanced features

Rochester, N.Y., March 21 — Murray-Calloway County Hospital, Murray, Ky. installed three Carestream Touch Prime XE Ultrasound Systems for use in its main radiology department and obstetrics unit.

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Tissue-clearing method for 3D imaging brain tissue may offer new health, disease insights

A team of international researchers has developed new tissue-clearing protocols for the 3D imaging of human brain tissue that may help answer questions around microstructural anatomy.

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Augmented reality could turn surgery into 3D experience, increase patient safety

Applying augmented reality (AR) to surgery may ultimately decrease medical errors made both inside and outside the operating room, according to an article published online by Harvard Business Review.

Radiology well positioned to embrace AI

Artificial Intelligence (AI) is perhaps the hottest topic across healthcare right now—especially in radiology. A recent Forbes article suggests the profession may be in a good spot to embrace the coming change.

Brain SPECT imaging may provide insight into depression outcomes

Single photon emission computed tomography (SPECT) imaging may identify who is likely to recover from depression and who might not, according to recent research published in the Journal of Alzheimer’s Disease.

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AI platform diagnoses prostate cancer as well as pathologists

A group of Chinese scientists and clinicians developed a learning artificial intelligence (AI) platform able to diagnose prostate cancer with the same accuracy as a human pathologist, according to a European Association of Urology press release.

Around the web

RBMA President Peter Moffatt discusses declining reimbursement rates, recruiting challenges and the role of artificial intelligence in transforming the industry.

Deepak Bhatt, MD, director of the Mount Sinai Fuster Heart Hospital and principal investigator of the TRANSFORM trial, explains an emerging technique for cardiac screening: combining coronary CT angiography with artificial intelligence for plaque analysis to create an approach similar to mammography.

A total of 16 cardiology practices from 12 states settled with the DOJ to resolve allegations they overbilled Medicare for imaging agents used to diagnose cardiovascular disease.