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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Healthcare cybersecurity has never been so complicated—or so plannable

AI technologies have changed daily life for provider organizations and industry partners alike. Arguably the biggest single difficulty to emerge from the complex transformation is the risk of cybersecurity breaches. 

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Novo Nordisk partners with OpenAI to speed development of new weight loss drugs

The maker of popular GLP-1 agonists Wegovy and Ozempic said technology from OpenAI, the company behind ChatGPT, will allow it to sift through and make sense of massive datasets to identify potential new uses for its diabetes and obesity treatments.

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New guidelines recommend AI-based breast cancer risk assessments

NCCN suggests that 5-year future breast cancer risk assessments based on routine mammograms should be integrated into standard practices. 

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Another win for opportunistic screening: AI turns head CT scans into heart assessments

AI can help care teams get additional value out of routine head CT images.

changing landscape

New Gallup research shows AI carving transition into the healthcare landscape

Almost 15% of more than 5,500 U.S. adults—representing around 14 million individuals—have skipped a doctor visit after feeling satisfied enough with health advice they received from AI.

Christoph Wald, MD, MBA, FACR, vice chair of the American College of Radiology (ACR) Board of Chancellors, professor of radiology and senior associate consultant for radiologist at Mayo Clinic, explains the ACR resources available to radiology practices to better evaluate artificial intelligence imaging algorithms.

American College of Radiology expands tools to help practices evaluate imaging AI

Incoming ACR board chair Christoph Wald, MD, explains the ACR resources available to radiology practices to better evaluate artificial intelligence imaging algorithms. 
 

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Nuanced clinical reasoning remains beyond the ken of frontier LLMs

Harvard researchers put 21 state-of-the-art large language models through their paces. The results are in. 

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Heartflow sues cardiology AI rival Cleerly over alleged patent infringement

According to Heartflow, Cleerly's actions represent “one of the most egregious examples of piracy in the medical technology industry.” Cleerly commented on the lawsuit, defending the value and integrity of its products.