The interaction of structured data using openEHR and large Language models for clinical decision support in prostate cancer.

Background: Multidisciplinary teams (MDTs) are essential for cancer care but are resource-intensive. Decision-making processes within MDTs, while critical, contribute to increased healthcare costs due to the need for specialist time and coordination. The recent emergence of large language models (LLMs) offers the potential to improve the efficiency and accuracy of clinical decision-making processes, potentially reducing costs associated with traditional MDT models.

Dual-energy CT of acute bowel ischemia-influence on diagnostic accuracy and reader confidence.

Objectives: This study evaluates the advantages in diagnostic accuracy, confidence, and reading time of additional dual-energy CT-derived reconstructions for assessing acute bowel ischemia.

Methods And Materials: This retrospective study includes 25 patients with surgically proven acute bowel ischemia and 25 gender- and age-matched controls who underwent biphasic abdominal dual-energy CT. Two fellowship-trained abdominal radiologists and two residents evaluated all cases with and without additional dual-energy CT-derived iodine maps and virtual non-contrast images.

Sleep-wake disturbances 3 years after traumatic brain injury.

Background: 6 months after traumatic brain injury (TBI), almost three out of four patients suffer from sleep-wake disturbances (SWD) such as post-traumatic hypersomnia (increased sleep need of ≥2 h compared with before injury), excessive daytime sleepiness (EDS), fatigue and insomnia. The long-term course of post-traumatic SWD, however, is unknown.

Objectives: To assess the prevalence and characteristics of post-traumatic SWD 3 years after trauma.