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. 

Deep learning uncovers visual, neural learning differences between children and adults

Baseball Hall of Famer Yogi Berra famously stated that “You can observe a lot just by watching.” New research shows just how right he was.

AI helps push medical gear from the past into the digital present, future

Researchers have combined AI with a common camera and a laptop computer to virtually modernize older-tech pumps and monitors positioned at patients’ bedsides.

mammogram mammography breast cancer

Screening mammography ‘signals’ predict women’s breast cancer risk

Stratifying exams according to risk can reduce unnecessary imaging and downstream costs of care, Hawaiian researchers reported in Radiology.

Opportunities galore for those who would build Alzheimer’s caregivers a better app

The field of mHealth applications to assist nonprofessional caregivers of Alzheimer’s patients is thin, weak and in need of innovators. 

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Will virtual physicals augment yearly wellness visits—or replace them?

If COVID put telemedicine’s pedal to the metal, it was only speeding up evolutionary change fueled by advances in technology prior to 2020.

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AI combines with electricity to juice neuroscience

Mayo Clinic researchers have demonstrated an AI-based system for untangling the meandering routes taken by electric stimulation pulses delivered to a single region of the brain.

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Lab startup specializing in labeling medical images for artificial intelligence raises $15M

Centaur Labs deploys “tens of thousands” of medical students across 140 countries, competing on its smartphone app as they work to label X-ray, CT, MR, and US images for algorithms. 

breast cancer screening mammography

AI-driven breast cancer screening ‘a long way off’ from replicating radiologists

Ninety-four percent of systems were less accurate than a single radiologist and all fell short when put up against at least two rads.