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. 

Professor Keith Channon, MD, MB ChB, FRCP, interventional cardiologist and the British Heart Foundation Professor Cardiovascular Medicine at the University of Oxford, and a co-founder of Caristo, explained an AHA 2023 study where AI identified coronary inflammation as a major silent risk factor and a strong predictor of heart attack risk.

AI model targets inflammation, helping cardiologists find 'invisible' heart patients

By focusing more on inflammation, cardiologists can ensure they are identifying patients who need help before it's too late.

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Ultrasound interpretation AI integrated into cloud-based PACS

A partnership between two developers aims to reduce ultrasound reading time.

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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Industry Watcher’s Digest

Buzzworthy developments of the past few days.

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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. 

Deep-learning model able to diagnose COVID-19 from X-rays alone

The model outperformed other AI and was able to diagnose COVID-19 in lungs with greater than 98% accuracy.

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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. 

Video of Isaac Zaworski, president of Sectra U.S.A. Inc, discussing trends in radiology informatics system at RSNA 2023. #enterpriseimaging #RSNA #Sectra #RSNA23 #RSNA2023 #HealthIT #cloudstorage #SaaS #radiology

Trends in radiology enterprise imaging systems

Isaac Zaworski, president of Sectra U.S.A., believes AI can help radiology providers overcome some of the biggest challenges plaguing the specialty.