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.

AI automation could 'revolutionize' Crohn's Disease severity CT assessments
Machine learning models could help create a more standardized, reproducible and efficient way of grading Crohn’s disease severity in the small bowel based on CT imaging.
New publicly available deep learning model for CT organ segmentation in children shows promise
The model was developed and validated specifically for liver, spleen and pancreas segmentation, and outperformed a publicly available segmentation model already in use.
New research offers reminder of why ChatGPT should not be used for second opinions
Although these tools have proven themselves valuable in numerous settings, they must be used with caution, especially by patients and nonradiologist providers who may be seeking clarification on imaging reports.
GPT-4 confidently struggles on radiology exam
Image-based questions were significantly more challenging for the large language model to answer, despite the latest version now being capable of accepting image prompts.
AI improves CT assessments, boosts care for real-world heart patients
Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Blood travels differently through women’s and men’s hearts, 4D MRI shows

This information can help clinicians adjust the quantitative standards used to asses how a patient's heart is functioning.

February 27, 2020

New stretchable, wearable coils deliver high-quality MRI scans

Purdue University engineers believe their novel radio-frequency coils could greatly improve diagnostic imaging and other medical testing.

February 26, 2020

AI’s ‘extra set of eyes’ helps radiologists identify missed intracranial hemorrhage cases

“Given the potential impact diagnostic errors can have on patient outcomes, new AI tools and technology that can assist radiologists may be of great value as clinicians strive to continuously decrease error rates and improve patient care,” researchers wrote in Academic Radiology.

February 24, 2020

Advanced imaging confirms cooling therapy targets brain’s core in newborns

Babies who suffer from a lack of oxygen are often treated using whole-body cooling in order to save brain tissue, but until now it's been difficult to determine how this therapy actually impacts the organ.

February 21, 2020

Meditation alters brain connectivity in areas associated with emotion, MRI shows

Volunteers reported feeling less stressed after three months of Transcendental Meditation, and fMRI offered an important clue as to why, researchers reported in Brain and Cognition.

February 21, 2020

Patients want a say in AI: 5 ways to help radiology get there

Although they've often been kept on the sidelines, patients believe artificial intelligence should address a number of clear priorities.

February 18, 2020

Applying deep learning to PET/CT scans helps clinicians diagnose neurodegenerative disorders

A generative adversarial network accurately segmented brain white matter volume by analyzing hundreds of patient images, researchers reported in the Journal of Digital Imaging.

February 14, 2020

AI analyzes cardiac MRI blood flow to predict stroke, heart attack, death

The study is the first, and largest of it's kind, according to researchers from the University College London, and offers new insights into how the heart functions.

February 14, 2020

Around the web

Cardiovascular Business

AI improves CT assessments, boosts care for real-world heart patients

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Cardiovascular Business

AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.

Radiology Business

Google teams with Bayer to address radiologist burnout via AI

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.