Artificial Intelligence

Automatic organ segmentation model now available for testing with pediatric CTs
By Liz Carey
Cincinnati Children's Hospital Medical Center researchers have made their algorithm available as an open-source application for further CT research.
May 2, 2024
This image shows ground-truth manual organ segmentations (yellow) vs. DynUNet-TL (green) and TotalSegmentator (red) predictions. Photo courtesy of the American Journal of Roentgenology.
Jury still out on clinical use of ChatGPT
By Will Morton
ChatGPT has been effective in 84% of radiology studies, yet it is still too soon to confirm its complete proficiency for clinical applications.
May 2, 2024
Chat Gpt Graph Thumb
AI brings scoliosis monitoring on x-rays into modern era
By Will Morton
An AI model has delivered a long overdue update of pediatric bone growth predictions used in x-ray imaging to monitor scoliosis.
May 1, 2024
2024 04 30 Scoliosis Ai Thumbnail
ChatGPT performs poorly on ACR exam for residents
By Will Morton
ChatGPT-4 received a score of 58% on an exam by the American College of Radiology (ACR) used to assess the skills of diagnostic and interventional radiology residents.
April 24, 2024
Chatgpt 4
Deep-learning algorithm improves liver fibrosis diagnosis
By Amerigo Allegretto
An algorithm combining the Fibrosis-4 Index and an ultrasound deep-learning model could improve diagnostic accuracy for advanced liver fibrosis.
April 23, 2024
Ultrasound Scanner Ultraviolet 400
NLP uncovers racial bias in documenting ob/gyn imaging findings
By Amerigo Allegretto
Natural language processing (NLP), a form of AI, can uncover racial bias in documenting radiology-confirmed ob/gyn findings.
April 23, 2024
Chat Gpt Artificial Intelligence Ai Head
Can ChatGPT ‘data mine’ patient reports for stroke registries?
By Will Morton
ChatGPT-4 appears useful for extracting details from reports on thrombectomy procedures in stroke patients, a labor-intensive and error-prone task currently performed by human readers.
April 19, 2024
Stroke Skull Xray 400
Blackford and Lucida Medical partner on prostate cancer imaging
By AuntMinnie.com staff writers
Blackford has entered a commercial partnership with Lucida Medical to integrate Lucida's prostate cancer MRI imaging software (Pi) into its AI platform.
April 17, 2024
Ai Handshake
CT-based deep learning identifies patients at further lung cancer risk
By Kate Madden Yee
A CT-based deep learning model can identify individuals with clinical stage IA non-small cell lung cancer (NSCLC) at high risk of further disease, researchers have found.
April 16, 2024
Ai
Deep-learning model determines breast tumor staging
By Amerigo Allegretto
A deep-learning model based on mammographic images can determine tumor staging and sentinel lymph node metastasis in breast cancer patients.
April 16, 2024
Researchers explain the data preparation and structure of a proposed CNN-based deep learning model using mammography features to determine breast tumor staging. The image is available for use under a Creative Commons license: CC BY-NC-ND 4.0 DEED Attribution-NonCommercial-NoDerivs 4.0 International.
16 Bit gets FDA nod for AI x-ray software
By AuntMinnie.com staff writers
Canadian AI software developer 16 Bit has received de novo approval from the U.S. Food and Drug Administration (FDA) for Rho, an AI tool for evaluating low bone mineral density.
April 12, 2024
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Vision transformer AI model boosts PET/CT imaging of cancer
By Will Morton
A vision transformer AI model outperformed convolutional neural networks when classifying tumors on PET/CT images as benign or malignant.
April 12, 2024
Predictions and Grad-CAMs of ViT-based models on sample PET/CT, PET, and CT test images from the “positive” class. ViT was fine-tuned using training data for each modality. The bounding boxes depicted in the figure indicate malignant lesions. The top row of the Grad-CAMs shows important areas for “positive” predictions, and the bottom row shows areas for “negative” predictions. Image courtesy of Scientific Reports.
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