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. 

Thumbnail

Intermountain Health launches new biotech company

The aim of the biotech company is to “transform healthcare by providing comprehensive information on patient predisposition to disease, disease prevention and personalized intervention and treatments."

 

Thumbnail

New algorithm shows how AI could make lung cancer screening more cost-effective

Using CT scans, a deep learning algorithm can recommend optimal lung cancer screening intervals by distinguishing between high-risk and low-risk lung nodules. 

 

radiology reporting EHR health record CDS AUC

Nuance announces first fully AI-automated clinical documentation tool in healthcare

DAX Express utilizes the advanced reasoning and natural-language capabilities of OpenAI’s GPT-4 to generate draft reports "in seconds," the company said Monday. 

Quantum computer superconductivity

Quantum healthcare computing coiled for liftoff on US soil

The first quantum computer set up to support healthcare research in the United States has been delivered.

Example of natural language processing converting the radiologist's dictation into text. This system from M-Model highlighted key words the artificial intelligence will use text in the report and for labeling the report file for later key word searches or data mining. 

How NLP can 'revolutionize' structured reporting

The continued emergence of natural language processing has caught the eye of experts in the field, with some suggesting its use could streamline the process of integrating structured reporting across the specialty. 

Venerable medical journal spawns AI-focused offspring

The 211-year-old New England Journal of Medicine has birthed an online-only monthly journal that will take on “some of the most pressing questions in medicine through the application of AI in the clinic.”

Traditional methods continue to outperform AI in some orthopedic scenarios

A new meta-analysis suggests that when it comes to hip fractures, AI algorithms do not always live up to their hype. 

Cynthia Rudin, PhD. Photo courtesy of Duke University.

Prominent tech scholar: AI ‘feels like a runaway train that we’re chasing on foot’

Cynthia Rudin, PhD, is a highly regarded computer scientist who’s been eyeing the advance of artificial intelligence into society with equal parts enthusiasm and concern.