The seminal work of Wennberg and Gittelsohn in 1973 emphasised the importance of health information for informed decision-making. This led to the creation of the Dartmouth Health Atlas in 1996, which has become an important resource for monitoring health services in the USA. The Dartmouth Health Atlas research revealed the existence of variation in health care without benefit to patients, and the dependence of health care use on local resource supply.
View Article and Find Full Text PDFIn diabetic retinopathy, early detection and intervention are crucial in preventing vision loss and improving patient outcomes. In the era of artificial intelligence (AI) and machine learning, new promising diagnostic tools have emerged. The IDX-DR machine (Digital Diagnostics, Coralville, IA, USA) represents a diagnostic tool that combines advanced imaging techniques, AI algorithms, and deep learning methodologies to identify and classify diabetic retinopathy.
View Article and Find Full Text PDFIn clinical research, the analysis of patient cohorts is a widely employed method for investigating relevant healthcare questions. The ability to automatically extract large-scale patient cohorts from hospital systems is vital in order to unlock the potential of real-world clinical data, and answer pivotal medical questions through retrospective research studies. However, existing medical data is often dispersed across various systems and databases, preventing a systematic approach to access and interoperability.
View Article and Find Full Text PDFBackground: Uncomplicated rhegmatogenous retinal detachment (RRD) is mainly treated with vitrectomy and gas tamponade or, alternatively, scleral buckling surgery. However, gas tamponade inflates at high altitudes, causing significant complications. Silicone oil (SO) tamponade volume is unaffected by atmospheric pressure and may be used in patients who live or must undertake travel at high altitudes.
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