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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artificial intelligence healthcare industry news

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

ChatGPT excels at differential diagnostics in hard cases

Today’s generative AI—namely ChatGPT-4—is pretty darned good at parsing out probable diseases in difficult-to-diagnose patient cases.

A figure from the study shows a chest radiograph with an area of consolidation involving right lower lung consistent with pneumonia, as well as right pleural effusion. The deep-learning model predicted risk of 30-day mortality of 9%. Right: Gradient- weighted class activation map shows that model prediction was influenced by separate area of image corresponding with heart and liver (yellow and light blue colors). Patient’s CURB-65 score was 4. Patient recovered from pneumonia and remained alive. AJR Image

Deep learning predicts pneumonia mortality on chest X-rays

AI was able to predict 30-day mortality risk predictions more accurately that the current risk assessment.

ChatGPT large language AI radiology patient information

Society of Interventional Radiology bests ChatGPT at informing patients—but contest reveals shortcomings on both sides

As a source of patient information, human-authored SIRweb.org beats ChatGPT on readability and, in a word, helpfulness. However, the website needs work on those scores too.

artificial intelligence industry digest

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

artificial intelligence hospital patients

Implementing point-of-care AI? 5 firm facts to keep in mind

If healthcare AI is to flourish outside of academic research settings and industry R&D departments, it will need to win over its most difficult-to-impress audience: healthcare workers in hospitals.

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AI primed for pulmonary nodule detection in adults, falls short in pediatric population

Artificial intelligence tools have proven to be beneficial in detecting pulmonary nodules on chest CTs of adults, but less is known about their utility in pediatric populations. 

medivis SurgicalAR

Radiologist-founded augmented reality startup raises $20M from Kevin Durant, Mayo Clinic, Disney CEO

Medivis' SurgicalAR platform allows interventional radiologists and surgeons to holographically render patients' MRI and CT images during procedures. 

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