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.

Large-language AI models aren’t immune to medical misinformation, but they can learn to discern
Medical AI is likely to pass along potentially dangerous misinformation when the distortion comes to the model from a normally trustworthy source using a convincingly authoritative voice.
New AI foundation model offers wide adaptability across neuroradiology
Unlike most AI tools that were built for specific applications like identifying stroke, the foundation model can be used for a wide array of tasks, as it can learn from other AI frameworks.
Radiology has become a ‘case study for why AI won’t replace human workers,’ CNN says
Despite diagnostic imaging leading with over 1,000 FDA-cleared AI tools, the Bureau of Labor Statistics expects radiology to see 5% job growth through 2034.
AI experts warn of ‘zombie algorithm phenomenon’ impacting imaging
Scientists with Columbia University are warning of a forthcoming bubble bursting in healthcare AI, sharing their thoughts in Health Affairs.
5 takeaways from Dr. Wachter’s ‘Giant Leap’ with AI in healthcare
Someday the computerization of medicine will be recognized as the game-changing, paradigm-shifting, everything-upending “disruptive innovation” that so many healthcare watchers and stakeholders have been waiting for. “Today,” however, “it’s often just plain disruptive.”

Large-language AI models aren’t immune to medical misinformation, but they can learn to discern

Medical AI is likely to pass along potentially dangerous misinformation when the distortion comes to the model from a normally trustworthy source using a convincingly authoritative voice.

New AI foundation model offers wide adaptability across neuroradiology

Unlike most AI tools that were built for specific applications like identifying stroke, the foundation model can be used for a wide array of tasks, as it can learn from other AI frameworks.

Radiology has become a ‘case study for why AI won’t replace human workers,’ CNN says

Despite diagnostic imaging leading with over 1,000 FDA-cleared AI tools, the Bureau of Labor Statistics expects radiology to see 5% job growth through 2034.

radiology report bubbles translate informatics imaging

AI experts warn of ‘zombie algorithm phenomenon’ impacting imaging

Scientists with Columbia University are warning of a forthcoming bubble bursting in healthcare AI, sharing their thoughts in Health Affairs.

5 takeaways from Dr. Wachter’s ‘Giant Leap’ with AI in healthcare

Someday the computerization of medicine will be recognized as the game-changing, paradigm-shifting, everything-upending “disruptive innovation” that so many healthcare watchers and stakeholders have been waiting for. “Today,” however, “it’s often just plain disruptive.”

Humana and Google partner on healthcare AI ‘Agent Assist’ for improved member support

The insurer said Google’s Gemini was part of the new AI’s core development. The system will support customer service interactions by automatically summarizing calls and pulling up relevant information, without the need for manual input. The Google Cloud will be providing the necessary data security to ensure patient privacy, the companies added.

AI accurately reads brain MRIs in seconds

The tool can identify over 50 different neurological conditions with nearly 98% accuracy.

Medicare contractor proposes denying coverage for AI-based brain MRI technology

If finalized, the decision would impact radiology providers across Illinois, Minnesota, Wisconsin, Connecticut, New York, Maine, Massachusetts, New Hampshire, Rhode Island and Vermont.