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.

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.
Natural language processing spots reporting gaps, racial bias
Finding such discrepancies is critical to the continuity of patient care, as medical records and reports are often utilized across multiple providers and facilities.

GE HealthCare upgrades ultrasound systems with AI guidance

The Venue product line will receive a step-by-step guidance system designed to help even inexperienced operators capture quality cardiac images.

October 9, 2023

Photos from the study showing eye-tracking and voice dictation.

Eye-tracking study shows radiology reporting via voice commands becoming more viable

When combined with a good microphone, "positive findings only" radiology reporting utilizing voice commands may be most efficient style, according to new research.

October 6, 2023

AI shows bias based on race and sex

A study calls into question the safety of using popular foundation-model AI applications in a medical setting.

October 5, 2023

artificial intelligence robot evaluates healthcare data. Novo Nordisk announced a new collaboration with Valo Health, a healthcare technology company focused on using artificial intelligence (AI) technology to identify new drug treatments for cardiovascular disease (CVD).

'Transformer' AI model can read chest X-rays like a human radiologist

Researchers in Germany created an AI model that outperforms others in diagnostic accuracy when given access to clinical data that goes beyond an X-ray image.

October 4, 2023

Radiology workflow specialists announce 3 AI partnerships ahead of November launch

Sirona Medical is launching a platform in November to bring more AI options to radiologists.

September 29, 2023

Artificial intelligence can help make breast cancer screening mammography more accurate.

As synthetic mammography keeps improving, it may soon be the new standard

Synthetic mammography has certain disadvantages, but they may be outweighed by its improved safety.

September 29, 2023

Radiologists deliver fewer false-positive results than advanced AI models

A new study out of Denmark reveals humans have a definite advantage when a diagnosis requires real-world experience.

September 26, 2023

AI helps radiologists interpret noncontrast CT scans

New research out of Australia details how advanced AI helped radiologists improve their accuracy while also reducing reading times.

September 26, 2023

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.