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. 

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.

HeartFlow’s AI-powered CAD offering reaches a significant milestone

The company's trademark offering has now been used to evaluate one quarter of a million patients. 

Signify Research Principal Analyst for medical imaging Bhvita Jani explains the recent trends and new technology in CT imaging at RSNA 2023. #RSNA #Medicalimaging #CT #CTA #CCTA #yescct

Trends and advances in CT systems at RSNA 2023

Bhvita Jani, medical imaging principal analyst at Signify Research, discusses the most recent innovations in computed tomography with Radiology Business Digital Editor Dave Fornell. 

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Mayo Clinic rings in the new year with two AI-powered cancer care initiatives

Two AI developers have announced new agreements with the academic medical center, both related to improving the delivery of oncology services.

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Industry Watcher’s Digest

Buzzworthy developments of the past few days.

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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If AI is the future, radiology needs to look to the cloud

In a recent journal op-ed, experts compared radiology's move to cloud to the shift from film to digital.

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Collaboration brings AI-driven imaging standards to healthcare organizations

Enlitic and Infinitt North America hope their partnership will inspire new research.