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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AI in radiology is just getting started, but these 4 lessons can help practices prepare

Massachusetts General Hospital gathered reports from those on the front lines of the coming AI revolution, sharing their tips for success in JACR.

Physicians’ behaviors are nearly all AI needs to head off faulty drug prescriptions

Contrary to intuitive expectations, many errors in drug ordering are caused or worsened by the intricacies of the EHR.

AI helps uncover, illustrate the inner workings of cells

Researchers have used electron microscopes and machine learning to create detailed, high-resolution 3D images of subcellular structures called organelles.

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AI-based mammography triage helps providers dramatically improve interpretation process

California radiologists have seen average turnaround times and flags per exam plummet, with skepticism quickly dissipating, experts wrote in JACR. 

AI finds forgotten surgical instruments in patients’ bodies

In hospitals where patients are routinely X-rayed following surgery, AI-equipped CAD software could screen for left-behinds automatically.

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Artificial intelligence for LVO stroke detection could save $11M annually, model estimates

Imaging experts performed a hypothetical health technology assessment for their investigation, using a conservative 6% estimated rate of missed diagnoses. 

Artificial intelligence deters one-sixth of medical students from pursuing radiology

By comparison, more than 20% ranked radiology as their first choice when not considering AI's potential impact on the specialty.

Algorithmic app could head off suicides of high-risk adolescents

Researchers have demonstrated the feasibility of AI-based smartphone interventions for young people who have attempted suicide and may try again.

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