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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Deep learning denoising produces quality trauma head CT images at 25% of the radiation dose

Denoising algorithm produces quality trauma head CTs at a fraction of the radiation dose

Radiation doses needed for quality head CT scans in trauma settings can be reduced by as much as 75% using DL-based denoising.

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ChatGPT is 'robbing applicants of their voices' in residency applications

The growing use of ChatGPT on residency applications is prompting concerns over how LLMs might affect the authenticity and value of personal statements in the future.

AI catches overlooked broken vertebra on X-rays, with sizable cost-saving implications

The software could opportunistically screen patients at a smaller cost than other interventions, given it automatically operates "in the background" on radiographs performed for other reasons. 

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Radiology AI firm specializing in automating MRI workflows raises $19M

Copenhagen-based Cerebriu said the Danish VC firm North Ventures led the Series A funding round with support from EIFO and Sagitta Ventures. 

artificial intelligence AI technology

Industry Watcher’s Digest

The use of clinical AI could have some unintended consequences for patient safety. 

healthcare providers and payers AI strategy

Providers trail payers in healthcare AI action

If putting an AI plan in place were a team sport, the Payers would be outpacing the Providers quite handily. 

Generative AI reincarnates famous physicists in radiology

Generative AI 'reincarnates' famous physicists in radiology

Since generative AI products first emerged, the models’ capabilities have grown by leaps and bounds. Now, they can seemingly bring renowned scientists from the past back to life. 

Harlan Krumholz, MD, SM, editor-in-chief of the Journal of the American College of Cardiology (JACC), and a cardiologist and the Harold H. Hines, Jr. Professor of Medicine at the Yale school Medicine, explains some of the key technology advances he is watching across cardiology.

JACC editor excited by progress during a 'very important moment' for cardiology

Harlan Krumholz, MD, editor-in-chief of the Journal of the American College of Cardiology, explains some of the key technology and treatment trends he has his eyes on.

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