Philips and MIT expand AI research database

AuntMinnie.com staff writers

Apr 20, 2023

2021 11 30 16 08 9693 Philips Rsna 2021 400

Philips Healthcare parent company Royal Philips and the Massachusetts Institute of Technology (MIT) have expanded the eICU Collaborative Research Database (eICU-CRD) for artificial intelligence (AI) research.

The database is maintained by MIT's Institute for Medical Engineering and Science (IMES) and has been updated to include de-identified data of 200,000 critical care patients, including patients who were impacted by COVID-19. Researchers at Philips and the IMES Laboratory of Computational Physiology work with researchers around the world to access the data to develop AI algorithms and provide insights on critical care.

Stroke Skull Xray 400

Can ChatGPT ‘data mine’ patient reports for stroke registries?

April 19, 2024

Blackford and Lucida Medical partner on prostate cancer imaging

April 17, 2024

CT-based deep learning identifies patients at further lung cancer risk

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.

Deep-learning model determines breast tumor staging

April 16, 2024

Can ChatGPT ‘data mine’ patient reports for stroke registries?

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

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

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

Vision transformer AI model boosts PET/CT imaging of cancer

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.

UltraCon: Machine learning predicts sonographer burnout

By Amerigo Allegretto

Machine-learning approaches can predict burnout among sonographers, though established burnout indices may be enough, according to research presented April 9 at UltraCon.

April 9, 2024

Jennifer Bagley from the University of Oklahoma presents findings at UltraCon on the performance of two machine learning approaches in predicting burnout among sonographers.

AI helps select patients for supplemental breast cancer screening

By Erik L. Ridley

An AI-based method can outperform breast density measurements for flagging patients who would benefit from supplemental breast cancer screening.

April 9, 2024

Breast Cancer 3 D

AI model predicts invasiveness of lung cancer on CT scans

Radiologists in Beijing, China, have developed a joint deep-learning and radiomics AI model that can flag how invasive tumors may be in patients with lung cancer.

April 9, 2024

Can AI improve sustainability in nuclear medicine?

Nuclear medicine experts support the use of AI to improve sustainability of practices in the field, yet say implementation will require careful consideration of the technology’s benefits and detriments.

April 9, 2024

ChatGPT powered by GPT-4 and using DALL-E−3 was asked to generate an image for teaching purposes that demonstrated: a nuclear medicine bone scan with skeletal metastases (top left); coronary artery disease (top right); an F-18 FDG-PET scan of the brain with Alzheimer's disease (bottom left); and an x-ray showing a fracture (bottom right). These are misleading for educational purposes and for patients who may be searching for information. Image and caption courtesy of Radiography.

Northwestern, Dell develop LLM for chest x-ray interpretation

By AuntMinnie.com staff writers

Dell Technologies and Northwestern Medicine are collaborating on a generative multimodal large language model (LLM) for the interpretation of chest x-rays.

April 5, 2024

Chest Lung Xray 400

SPECT/CT algorithm predicts heart failure hospitalizations

AI can effectively predict hospitalization for acute heart failure exacerbation in patients undergoing SPECT/CT myocardial perfusion imaging.

April 3, 2024

A visual abstract of the study by the authors. Image courtesy of the Journal of Nuclear Medicine.

Page 1 of 365