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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SPECT imaging may help guide future HIV treatment

Researchers used single-photon emission computed tomography (SPECT) to assess the immune system recovery of macaque monkeys with an HIV-like infection. The work may help researchers understand recovery in humans after HIV treatment.

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Alzheimer’s ‘Big Bang’ discovery IDs shapeshifting origin of disease

A team of U.S. researchers has uncovered the exact point when normal, healthy protein becomes toxic but has yet to form tangles. Experts believe the findings could be a target for developing Alzheimer's treatments.

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Deep learning detects, segments, classifies breast tumors with 93% accuracy

An integrated computer-aided diagnosis (CAD) system developed by researchers from Kyung Hee University and Sungkyunkwan University in South Korea could outperform current conventional deep learning methodologies used by radiologists to detect, segment and classify tumors from digital x-ray mammograms.

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First human imaged with novel 3D color x-ray scanner in New Zealand

A 3D color medical scanner invented by father and son scientists in New Zealand recently imaged its first human subject, according to a news release from the University of Canterbury in New Zealand.

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IBM Watson, Guerbet to develop AI imaging tool to help liver cancer diagnostics

IBM Watson Health and medical imaging contrast agent company Guerbet have entered a strategic partnership to develop artificial intelligence (AI) software to support liver cancer diagnostics and care by utilizing CT and MRI technology.

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Helping hands: Widening access to focused ultrasound in US reduces essential tremors

A Pennsylvania farmer suffering from essential tremors in both hands recalled how his experience undergoing focused ultrasound treatment was risky but ultimately worth it, according to a July 9 article by NPR.

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Texas center reduces radiation targeting variability with deep learning

A deep learning algorithm deployed at MD Anderson Cancer Center in Houston successfully automated and standardized clinical target volumes (CTVs) for radiation therapy in head and neck cancer patients.

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ACR DSI releases 1st AI use cases seeking feedback

The American College of Radiology Data Science Institute (ACR DSI) released its first use cases from the TOUCH-AI library for industry comment in order to gain feedback before it releases the entire library this fall, according to an ACR 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.