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. 

#StanfordHAI #AIregulation Stanford Institute for Human-Centered AI

Workshop consensus: Fixing healthcare AI regulation will take more than tweaks and patches

Querying 55 thought leaders behind closed doors, the Stanford Institute for Human-Centered AI has found only 12% believe healthcare AI should always have a human in the loop.

artificial intelligence in cardiology

Tech companies team up to help cardiologists reach high-risk heart patients

Guidehealth and Story Health are joining forces to put AI-powered technology in the hands of heart teams. 

test exam scantron

Developing board-style radiology questions is resource intensive. Large language models could help

Crafting these materials is typically left up to radiologists who draw from their own educational and clinical experiences, but the process is time consuming and can incur significant costs.

AIRS Medical

Radiology AI firm AIRS Medical raises $20M in Series C financing

The Korean company’s flagship product, SwiftMR, is a deep learning solution that helps providers reduce scan times while maintaining image quality. 

SCCT aims to provide common language for CCTA use with updated guidance

The Society of Cardiovascular Computed Tomography has developed a new expert consensus document designed to get physicians on the same page when discussing this growing technology. 

Hospital

Industry Watcher’s Digest

Buzzworthy developments of the past few days. The Sam Altman-Arianna Huffington ‘AI health coach’ has attracted detractors ... 

'Well-resourced and innovation-focused hospitals should mentor and provide technical support to underfunded or smaller hospitals.'

How to mitigate institutional inequities involving AI

When it comes to adopting healthcare AI, large, well-off hospitals are likely to frequently homer while smaller, struggling institutions go down looking. (Baseball analogy in honor of tonight’s Midsummer Classic.) 

AI can accurately complete leg length and angular measurements

AI tool accurately completes leg length measurements up to 87% faster than human readers

Manual leg length measurements are time-consuming and can be challenging to reproduce.