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Artificial Intelligence
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
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
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
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
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
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
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
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
AI model predicts invasiveness of lung cancer on CT scans
By
Will Morton
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
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