Search Tag: Radiology Reports
2025 02 Feb
Artificial intelligence is revolutionising radiology, enhancing diagnostic accuracy, optimising workflow efficiency and improving patient care. However, integrating AI-generated insights into radiology reports presents challenges, particularly in ensuring consistency and interoperability across diverse healthcare systems. Traditional reporting...Read more
2025 02 Feb
Artificial intelligence is revolutionising radiology, enhancing diagnostic accuracy, optimising workflow efficiency and improving patient care. However, integrating AI-generated insights into radiology reports presents challenges, particularly in ensuring consistency and interoperability across diverse healthcare systems. Traditional reporting...Read more
2024 14 Oct
Brain MRI scans are essential for diagnosing a wide array of neurological conditions. However, analysing these images requires substantial expertise, and even experienced radiologists can face challenges in detecting subtle lesions due to the complexity of brain structures. This complexity has prompted the integration of deep learning (DL) models to...Read more
2023 30 Oct
According to new survey data shared in Current Problems in Diagnostic Radiology, experts along with the Mayo Clinic and Loma Linda University Medical Center recently conducted a study to investigate patients' preferences for radiology reports. Their analysis involved the feedback of nearly 500 individuals who received treatment at LLUMC between 2019...Read more
2017 25 Apr
Radiology reports often contain medical jargon that is difficult for patients to interpret and understand. New research shows that an online system that provided definitions and illustrations of the medical and technical terms in radiology reports has potential to improve patients’ understanding of their reports and their diagnoses. The finding...Read more