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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Industry Watcher’s Digest

Buzzworthy developments of the past few days.

Philips launches new AI-powered CT system said to improve workflows, increase returns

Philips has developed an AI-powered CT system designed to increase throughput and improve image quality, all while decreasing patient exposure to ionizing radiation. 

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ChatGPT's radiology board success has experts rethinking resident education

While the AI chatbot’s scores do reflect its impressive strengths, its weaknesses could present a unique opportunity for educators.

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Philips acquiring artificial intelligence firm DiA Imaging Analysis for nearly $100M

The Israel-headquartered firm specializes in AI-based ultrasound image examination, scoring its ninth U.S. FDA clearance in February. 

Rajesh Bhayana MD Toronto General Hospital in Toronto on ChatGPT passing radiology board.

Latest version of ChatGPT AI passes radiology board exam

However, GPT-4 confidently delivered incorrect or irrelevant answers on some questions, according to new research in Radiology. 

Artificial intelligence in healthcare

Industry Watcher’s Digest

Buzzworthy developments of the past few days.

framework for regulating healthcare artificial intelligence

A framework for regulating healthcare AI at the federal level has begun taking shape

America’s two major political parties agree on very little of late, but they have a mutual interest in working together toward overseeing AI.

Google's latest large language model is poised to give ChatGPT a run for its money in imaging

One of the main goals of Med-PaLM 2 is to “synthesize information like X-rays and mammograms to one day improve patient outcomes.”