Publications by authors named "Rayyan A Daghistani"
Given the rapidly expanding capabilities of generative AI models for radiology, there is a need for robust metrics that can accurately measure the quality of AI-generated radiology reports across diverse hospitals. We develop ReXamine-Global, a LLM-powered, multi-site framework that tests metrics across different writing styles and patient populations, exposing gaps in their generalization. First, our method tests whether a metric is undesirably sensitive to reporting style, providing different scores depending on whether AI-generated reports are stylistically similar to ground-truth reports or not.
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- An air embolism, though rare, can lead to serious complications and must be identified early by critical care professionals to prevent morbidity and death, especially after procedures like contrast injections in CT scans.
- A case of a 70-year-old man illustrates this condition, as he developed pulmonary artery air embolism following a contrast injection and required oxygen therapy, leading to improvements over time.
- Post-recovery, the patient was discharged with prescriptions for antiviral and anticoagulant medications, highlighting the importance of monitoring and awareness of potential complications after radiological procedures.
Treatment of patients with lung cancer during the current COVID-19 pandemic is challenging. Lung cancer is a heterogenous disease with a wide variety of therapeutic options. Oncologists have to determine the risks and benefits of modifying the treatment plans of patients especially in situation where the disease biology and treatment are complex.
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