work Non-clinical factors and clinical factors in ICUs Investigating how factors before admission influence patient outcomes in intensive care settings, integrating this data into AI models to enhance predictions and interventions. Management of Stroke and Shock Studying patients on treatments to better understand demographic impacts and clinical outcomes, aiming to refine critical care strategies. Open Access Clinical Reports and Databases Creating a comprehensive open-access database that combines ICU reports with contextual data, enhancing AI-driven clinical decision-making and understanding of non-clinical factors in critical care. Accuracy in Medical Interventions and Devices Investigating performance differences in medical devices and interventions to promote performance over all population, more effective healthcare technologies. Phenotypic Study of Subarachnoid Hemorrhage Patients Conducting detailed analyses of phenotypic data from experimental subarachnoid hemorrhage cases to improve diagnostic and treatment protocols. Predicting Outcomes in Intensive Care Using AI to forecast clinical outcomes and treatment responses in patients with conditions, enhancing personalized care strategies.