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. 

A figure from the study shows a chest radiograph with an area of consolidation involving right lower lung consistent with pneumonia, as well as right pleural effusion. The deep-learning model predicted risk of 30-day mortality of 9%. Right: Gradient- weighted class activation map shows that model prediction was influenced by separate area of image corresponding with heart and liver (yellow and light blue colors). Patient’s CURB-65 score was 4. Patient recovered from pneumonia and remained alive. AJR Image

Deep learning predicts pneumonia mortality on chest X-rays

AI was able to predict 30-day mortality risk predictions more accurately that the current risk assessment.

June 19, 2023
ChatGPT large language AI radiology patient information

Society of Interventional Radiology bests ChatGPT at informing patients—but contest reveals shortcomings on both sides

As a source of patient information, human-authored SIRweb.org beats ChatGPT on readability and, in a word, helpfulness. However, the website needs work on those scores too.

June 19, 2023
Brave Child

AI primed for pulmonary nodule detection in adults, falls short in pediatric population

Artificial intelligence tools have proven to be beneficial in detecting pulmonary nodules on chest CTs of adults, but less is known about their utility in pediatric populations. 

June 14, 2023
ChatGPT chatbot

ChatGPT effectively simplifies radiology reports, presents 'real opportunity' to better inform patients

Radiology reports are typically written in language well above the average American adult’s eighth grade reading level, making them a source of confusion for patients.

June 8, 2023
Virtual Reality

Virtual reality hypnosis could alter pain management during interventional procedures

The lead-up to radiation therapy can be anxiety-inducing and painful, but experts are optimistic a new relaxation method that is equal parts ancient and futuristic could help to ease patients’ worries. 

June 5, 2023

AI tool helps identify 'invisible' head injuries on MRIs of college athletes

The tool uses a machine learning technique to identify changes on brain MRIs that would otherwise be overlooked by radiologists due to the subtlety of alterations. 

June 1, 2023
Ambulance911

Ultrasound AI could help standardize trauma care

Trauma patients who present with poor blood flow and suspected abdominal hemorrhage are well served by emergency physicians using AI-augmented FAST imaging.

May 31, 2023
artificial intelligence in radiology medical imaging interpretation

Interpretive AI for medical imaging: 5 points of skepticism, idealism

Surveying the landscape of interpretive AI in radiology, two researchers note a yawning gap between great expectations set in the recent past and actual clinical implementations as of spring 2023.

May 25, 2023

Around the web

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

"I see, at least for the next decade, this being a SPECT and PET world, not one or the other," explained Tim Bateman, MD.

The FDA-approved technology developed by HeartFlow can predict a patient's long-term risk of target vessel failure as well as more invasive treatments performed inside a cath lab. 

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