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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'Best available test': Advanced PET boosts disease-free survival in patients with prostate cancer

The findings were presented virtually at the American Society for Radiation Oncology's Annual Meeting.

Smartphone app speeds up stroke diagnosis, triaging patients to CT scans quicker

The tool does so by analyzing a patient’s speech patterns and facial movements and can make a call with the accuracy of an ER doc, researchers claim. 

New PET radiotracer moves to in-human trials after accurately detecting brain injuries

In one case, the tracer detected a cerebral abnormality that occurred three years prior to imaging, according to Massachusetts General Hospital researchers.

In Tar Heel country, electronic ‘greeters’ use AI to monitor mask wearing, social distancing

If you’re failing to keep social distance, wear a mask and wear it properly, a red X lights up as a reminder. If you’re doing things right, it’s a green check mark affirming your compliance.

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Massive global effort underway using advanced imaging data for new traumatic brain injury treatments

The ENIGMA project is made up of 170 experts from 13 countries.

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Radiologists who follow AI-based recommendations may be safer from malpractice liability than they think

Legal experts at Georgetown University and ETH Zurich’s Center for Law & Economics recently shared their experimental study in the Journal of Nuclear Medicine.

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Radiologists urge peers to avoid ceding authority to nonphysician practitioners, opt for AI instead

Artificial intelligence costs less, integrates into workflows, and is less likely to take over their duties, Daniel Ortiz and colleagues wrote in JACR. 

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Terahertz imaging IDs early stage breast cancer without sample staining

The approach imaged samples smaller than 0.5 mm, which is difficult even under pathological analysis.

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