Researchers developed a machine learning model that uses MRI data to predict severe complications in placenta accreta spectrum (PAS) cases.
Key Details
- 1Placenta accreta spectrum is a serious perinatal complication linked to maternal mortality.
- 2Cases of PAS have risen in part due to increased cesarean deliveries.
- 3Machine learning techniques are being applied to MRI data to predict risk of severe outcomes before delivery.
- 4Accurate pre-delivery risk prediction may improve clinical management and outcomes for PAS patients.
Why It Matters
Integrating machine learning with MRI could offer earlier, more accurate risk stratification for PAS, helping radiologists and clinicians manage high-risk obstetric patients and potentially reduce maternal morbidity and mortality.
Source
Health Imaging
Related News
•AuntMinnie
Multimodal LLMs Show Improved Performance on Japanese Radiology Board Exams
New multimodal large language models (LLMs) like OpenAI o3 and Gemini 2.5 Pro demonstrated significant advancements in answering Japanese radiology board exam questions, particularly with image input.
•Health Imaging
AI Surpasses Radiologists in Predicting Lung Cancer Treatment Response
AI demonstrates higher accuracy than radiologists in predicting lung cancer treatment response from imaging.
•Radiology Business
Medicare Denies Over Half of Radiology AI Claims, Study Finds
Medicare denied $16 million in radiology AI claims between 2018 and 2023, rejecting over half submitted.