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. 

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.

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Combining DBT with AI-based support may be key to cost-effective breast screening programs

Radiologists' reading performance significantly improved with technological support, researchers reported in Radiology.

10 robots for cranial neurosurgery on the market or in the works

The authors concentrate on robotic technologies that either augment a surgeon’s movements or simplify a multistep process.

Oversight agency says nationwide variation in quantitative MRI scanners requires tighter control

This advanced MRI technique is currently only used for research purposes and experts believe the inconsistencies they've uncovered are one reason why.

Cheers! AI augments hearing aids with virtual microphones ‘mounted’ on the forehead

The experimental approach delivers a more natural sound by correcting for the need to place microphones at impractical points like the forehead.