Evaluation of medical decision support systems (DDX generators) using real medical cases of varying complexity and origin.

Background: Medical decision support systems (CDSSs) are increasingly used in medicine, but their utility in daily medical practice is difficult to evaluate. One variant of CDSS is a generator of differential diagnoses (DDx generator). We performed a feasibility study on three different, publicly available data sets of medical cases in order to identify the frequency in which two different DDx generators provide helpful information (either by providing a list of differential diagnosis or recognizing the expert diagnosis if available) for a given case report.

The Importance of Clinical Data for the Diagnosis of Breast Tumours in North Afghanistan.

Background: This study was performed in knowledge of the increasing gap between breast disease treatment in countries with restricted resources and developed countries with increasingly sophisticated examination methods.

Methods: The authors present the analysis of a breast disease register consisting of diagnostic cases from Mazar e Sharif and Herat in 2018 and 2019. The study comprises a total of 567 cases, which were presented to experts via telemedicine for final diagnosis.

Experience with telepathology in combination with diagnostic assistance systems in countries with restricted resources.

Introduction: We describe the use of telepathology in countries with restricted resources using two diagnosis assistance systems (Isabel and Memem7) in addition to the diagnoses made by experts in pathology via the iPath-Network.

Methods: A total of 156 cases, largely from Afghanistan, were analysed; 18 cases had to be excluded because of poor image quality.

Results: Of the remaining 138 cases (100%), a responsible physician provided a tentative diagnosis for 61.