Image from article in Radiology: Artificial Intelligence
RadioRAG retrieves context-specific information from #Radiopaedia in real-time https://doi.org/10.1148/ryai.240476 @tayebiarasteh.bsky.social #CARSINT2025 #radiology
Image from article in Radiology: Artificial Intelligence
RadioRAG retrieves context-specific information from #Radiopaedia in real-time https://doi.org/10.1148/ryai.240476 @tayebiarasteh.bsky.social #CARSINT2025 #radiology
Image from article in Radiology: Artificial Intelligence
Using #LLMs to address the shortage of high-quality, well-curated medical imaging datasets https://doi.org/10.1148/ryai.240631 @monganmd.bsky.social #CARSINT2025 #radiology
Image from article in Radiology: Artificial Intelligence
#MachineLearning system generated high-quality breast ultrasound reports and improved diagnostic accuracy of radiologists with limited experience https://doi.org/10.1148/ryai.240625 #CARSINT2025 #radiology
Image from article in Radiology: Artificial Intelligence
Evaluating the performance of #LLMs with and without #RAG augmentation on radiology knowledge questions derived from ABR exams https://doi.org/10.1148/ryai.240313 @ucsfimaging.bsky.social @rsnasky.bsky.social @drdremdphd.bsky.social #CARSINT2025 #radiology
“Careful model selection, prompt engineering, and semiautomated optimization using annotated data are critical for optimal performance.”
#CARSINT2025 #radsky #LLMs @appliedradiology.bsky.social
Happy 40th birthday CARS!! You’re the greatest of all time!
#CARSINT2025 #radsky
Image from article in Radiology: Artificial Intelligence
See the potential of #LLMs for extraction of clinical data from unstructured clinical reports https://doi.org/10.1148/ryai.240551 #CARSINT2025 #radiology
Image from article in Radiology: Artificial Intelligence
BraTS-Africa dataset to improve the generalizability of #ML methods in #BrainTumor imaging https://doi.org/10.1148/ryai.240528 #CARSINT2025 #radiology
Image from article in Radiology: Artificial Intelligence
RadioRAG: Online Retrieval-augmented Generation for Radiology Question Answering https://doi.org/10.1148/ryai.240476 @tayebiarasteh.bsky.social #CARSINT2025 #radiology
Image from article in Radiology: Artificial Intelligence
Short history & review of annotation & labeling of medical images https://doi.org/10.1148/ryai.240631 @monganmd.bsky.social #CARSINT2025 #radiology
Image from article in Radiology: Artificial Intelligence
Deep learning for reliable & accurate segmentation of brain infarcts & white matter lesions https://doi.org/10.1148/ryai.240072 #CARSINT2025 #radiology
Image from article in Radiology: Artificial Intelligence
#AI model estimates respiratory disease mortality in an Asian health screening population https://doi.org/10.1148/ryai.240628 #CARSINT2025 #radiology
Image from article in Radiology: Artificial Intelligence
Open-Weight Language Models and Retrieval Augmented Generation for Automated Structured Data Extraction from Diagnostic Reports: Assessment of Approaches and Parameters https://doi.org/10.1148/ryai.240551 #CARSINT2025 #radiology
Image from article in Radiology: Artificial Intelligence
Developing an unsupervised #DeepLearning framework for generalizable blood-brain barrier leakage detection using MRI https://doi.org/10.1148/ryai.240507 #CARSINT2025 #radiology
Image from article in Radiology: Artificial Intelligence
Sham-AI model as a placebo control for intracranial aneurysm diagnosis https://doi.org/10.1148/ryai.240140 #CARSINT2025 #radiology
Image from article in Radiology: Artificial Intelligence
#DeepLearning detection of heart disease in emergency patients with acute chest pain https://doi.org/10.1148/ryai.240459 #CARSINT2025 #radiology
Image from article in Radiology: Artificial Intelligence
Alternative to pharmacokinetic models to detect BBB leaks https://doi.org/10.1148/ryai.240507 #CARSINT2025 #radiology
#CARSINT2025 will mark its 40th anniversary in Berlin on 17-20 June - plus the 20th anniversary of the International Journal of CARS. A central theme is applications of model-guided medicine in #radiology and #surgery. buff.ly/QMjDTOg #computerscience