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. 

Video of Samir Patel, MD, diagnostic radiologist at Radiology Inc., value management program founder and director and a board member of the Beacon Health System, explaining how AI is being implemented in mammography at RSNA 2023.

Real-world implementation of AI in mammography

Samir Patel, MD, radiologist at Radiology Inc., and a board member of the Beacon Health System, explains how AI is being implemented in clinical practice for breast imaging. 

 

January 19, 2024
Craig Sable Children's National Hospital AI echo

AI spots signs of rheumatic heart disease in echocardiograms as well as cardiologists

Researchers think this represents a potential breakthrough for low- and middle-income countries where access to high-quality imaging evaluations is still limited. 

January 18, 2024
artificial intelligence AI deep learning ChatGPT OpenAI Microsoft Google

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.

January 16, 2024
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.

January 15, 2024
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.

January 12, 2024
artificial intelligence power wheelchairs northwestern feinberg

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. 

January 11, 2024
artificial intelligence consultation

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. 

January 10, 2024
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.

January 4, 2024

Around the web

Half a year after President Biden officially directed federal agencies in the executive branch’s bailiwick to “seize the promise and manage the risks” of AI, the White House has posted a status report.

U.S. physicians often receive payments from medical device manufacturers and pharmaceutical companies. New research in JAMA found a connection between receiving such payments and using specific devices—should the industry be concerned? 

Five of the largest U.S. medical societies focused on cardiovascular health are one step closer to seeing their paradigm-shifting proposal become a reality.

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