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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CES speakers talk about AI in health, need for trust

Keynote speakers noted the need to move at the speed of trust in order to reach potential for healthcare.

chatgpt for patient questions about radiology

ChatGPT IDs incidental findings on CT images

New research suggests ChatGPT may be able to improve radiology workflows by performing an initial review of CT images.

Video interview with Merge healthcare's General Manager of Imaging Ashish Sant on key trends in radiology IT and AI workflow orchestration at RSNA 2023. #RSNA #HealthIT #enterpriseimaging #PACS HealthAI

Radiology staffing shortages increasing demand for AI and cloud

Ashish Sant, general manager for Imaging at Merge explains how imaging informatics can help mitigate the radiology staffing shortage.

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4 ways AI is transforming healthcare at 1 medical school

Many people who rely on power wheelchairs to get around will soon have the option to let onboard AI negotiate obstacles, adjust speeds and avoid collisions. 

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Imaging specialists partner with Pfizer to deliver AI-powered cardiac amyloidosis evaluations

Improving care for patients with cardiac amyloidosis has emerged as one of the hottest topics in cardiology. Pfizer helped kickstart that trend in 2019 when it gained FDA approval for two separate medications for the rare, but potentially fatal disease. 

debatable points about AI in healthcare

Both sides now: 6 contended points regarding AI in healthcare

In 2018, almost a quarter of surveyed Americans expected healthcare to be among the earliest and hardest hit of all employment sectors. However, in 2023, McKinsey & Co. projected overall demand for healthcare workers to grow by 30% by 2030.

physician adoption of augmented artificial intelligence

AMA takes physicians’ collective temperature on current, planned use of AI

For AI to achieve sweeping adoption across U.S. medicine, physicians will need to be assured they won’t be held liable should clinical algorithms make mistakes.

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What will it take to win consumer buy-in on GenAI for healthcare?

Americans aren’t OK with generative healthcare AI that was developed without physicians and is sold by vendors without track records. 

Around the web

The American College of Cardiology has shared its perspective on new CMS payment policies, highlighting revenue concerns while providing key details for cardiologists and other cardiology professionals. 

As debate simmers over how best to regulate AI, experts continue to offer guidance on where to start, how to proceed and what to emphasize. A new resource models its recommendations on what its authors call the “SETO Loop.”

FDA Commissioner Robert Califf, MD, said the clinical community needs to combat health misinformation at a grassroots level. He warned that patients are immersed in a "sea of misinformation without a compass."

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