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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Clinical decision support has little impact on image-ordering behaviors, single-center study finds

CDS only added 24 seconds to ordering clinicians' workflows and rarely led to these individuals changing their radiology request, experts wrote in JACR. 

AI shows bias based on race and sex

A study calls into question the safety of using popular foundation-model AI applications in a medical setting.

Artificial intelligence (AI) is being developed to help make cardiovascular clinical trials more efficient, lead to faster advances in patient care, and bring possible new treatments to heart patients more quickly. The major cardiac research center of Icahn School of Medicine at Mount Sinai announced today that it signed a memorandum of understanding with the Chiba Institute of Technology (CIT) to collaborate on using AI to enhance cardiovascular disease research.

Mount Sinai partners with the Chiba Institute of Technology on AI to transform cardiovascular research 

Agreement aims to use AI to help make cardiology clinical trials more efficient and lead to faster advances in patient care. 

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Industry Watcher’s Digest

Buzzworthy developments of the past few days.

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Federal AI security center established, called an ‘overwhelming win’ for businesses, hospitals

The AI Security Center, AISC for short, has as its inaugural leader U.S. Army General Paul Nakasone.

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FDA clears AI model for detecting signs of heart failure in ECGs

The advanced AI model, developed by Anumana with help from Mayo Clinic, could provide value as a screening tool for heart failure.

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Deloitte survey suggests time has come for the CICO—‘chief internal controls officer’

Almost half of U.S. executives working in or close to the C-suite, 44.7%, see AI as the emerging technology most likely to put their internal-control systems at risk over the next 12 months.

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Radiology workflow specialists announce 3 AI partnerships ahead of November launch

Sirona Medical is launching a platform in November to bring more AI options to radiologists.

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