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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Successful AI in radiology and beyond requires a new standard for legal liability

Updating the imaging standard of care to include artificial intelligence as a second reader is one solution that takes some burden off individual physicians.

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Radiologist-founded imaging lab specializing in artificial intelligence sold for $80M

First launched in 2010 by physicians with Texas Radiology Group, Intrinsic Imaging provides services in support of clinical and medical device trials. 

AI experts to med students: Don’t compete with the machine. Collaborate with it

As machine learning progresses from research settings to clinical practice, how are clinicians to know they can trust the machine’s conclusions to guide care for actual patients?

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RSNA, other medical imaging groups launch brain tumor artificial intelligence challenge

Winners of the 10th annual Brain Tumor Segmentation challenge will be recognized at the AI Showcase Theater during RSNA 2021.

Virtually trained NICU nurses sensitively respond to babies’ pain

Infants in pain can’t describe the severity of their discomfort, but NICU nurses can e-learn how to gauge pain degrees according to standardized scales, allowing for prompt and appropriate pain-relief interventions.

Retinopathy screening a canary in the coal mine of AI-enabled nonspecialist care

Many cases will be handled by primary-care providers, eye technicians and even patients themselves connected by telehealth and armed with commercial test kits and AI.

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AI model predicts diabetes risk using MRI results

The algorithm measures the amount of fat surrounding a person's heart, using that information to create an accurate diabetes risk assessment. 

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American Medical Association approves 1st artificial intelligence CPT code specific to radiology

The "industry milestone" will help radiologists spot incidental vertebral compression fractures during chest CT exams.