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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HeartFlow announces US launch of AI-powered solution for evaluating coronary arteries

The AI-powered tool gained FDA clearance back in October 2022. 

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ChatGPT a ‘substantial first step’ toward AI-drafted radiologist reports

Using an RSNA template, the artificially intelligent chatbot was able to get high marks on report quality for distal radius fractures.


 

OpenAI ChatGPT

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

AI helps ID patients who would benefit most from strict blood pressure control

The study's findings suggest that AI can help clinicians provide more personalized care than ever before. 

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Common features of missed lung cancer on chest X-ray

It is crucial for radiologists to beware of these missed cases in routine practice, experts wrote recently in Clinical Imaging

Healthcare AI news digest

Industry Watcher’s Digest

Buzzworthy developments of the past few days. 

population level clinical insights

Oracle, John Snow helping FDA turn unstructured clinical notes into population health insights

The FDA-led Sentinel Initiative is tapping Oracle’s life-sciences division, Cerner Enviza, to spearhead development of AI tools for rendering EHR-bound clinical notes as usable pointers for clinicians and researchers.

artificial intelligence robot evaluates healthcare data

ChatGPT answers straightforward cardiology questions, but struggles with complex cases

The popular chat-based AI model was able to answer straightforward questions with considerable accuracy. However, it still has certain issues that need to be addressed.