Due to demographic change associated with an increase in patient numbers as well as the existing shortage of medical personnel, the German healthcare system will face a major challenge in patient care. In order to maintain high-quality patient care at a high level, the digitisation of urology should be driven forward promptly and forcefully as digital applications such as online appointment scheduling, video consultations, digital health applications (DiGAs) and others could significantly improve treatment efficiency. The long-planned introduction of the electronic patient record (ePA) will hopefully accelerate this process, and medical online platforms could also become a permanent part of new treatment methods, which could emerge from the urgently needed structural change towards more digital medicine, including questionnaire-based telemedicine. This transformation, which, already today, is urgently needed in the healthcare system, must be demanded and promoted by service providers, but also by policymakers and administration, in order to achieve the positive development of digitisation in (urological) medicine.
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http://dx.doi.org/10.1055/a-2071-4628 | DOI Listing |
EClinicalMedicine
May 2024
Department of Urology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.
Background: The pathological examination of lymph node metastasis (LNM) is crucial for treating prostate cancer (PCa). However, the limitations with naked-eye detection and pathologist workload contribute to a high missed-diagnosis rate for nodal micrometastasis. We aimed to develop an artificial intelligence (AI)-based, time-efficient, and high-precision PCa LNM detector (ProCaLNMD) and evaluate its clinical application value.
View Article and Find Full Text PDFWorld J Urol
August 2023
Digital Biomarkers for Oncology Group, National Centre for Tumour Diseases (NCT), German Cancer Research Centre (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
Purpose: To develop and validate an interpretable deep learning model to predict overall and disease-specific survival (OS/DSS) in clear cell renal cell carcinoma (ccRCC).
Methods: Digitised haematoxylin and eosin-stained slides from The Cancer Genome Atlas were used as a training set for a vision transformer (ViT) to extract image features with a self-supervised model called DINO (self-distillation with no labels). Extracted features were used in Cox regression models to prognosticate OS and DSS.
Aktuelle Urol
June 2023
Klinik für Urologie, Universitätsklinikum Freiburg, Freiburg, Germany.
Due to demographic change associated with an increase in patient numbers as well as the existing shortage of medical personnel, the German healthcare system will face a major challenge in patient care. In order to maintain high-quality patient care at a high level, the digitisation of urology should be driven forward promptly and forcefully as digital applications such as online appointment scheduling, video consultations, digital health applications (DiGAs) and others could significantly improve treatment efficiency. The long-planned introduction of the electronic patient record (ePA) will hopefully accelerate this process, and medical online platforms could also become a permanent part of new treatment methods, which could emerge from the urgently needed structural change towards more digital medicine, including questionnaire-based telemedicine.
View Article and Find Full Text PDFHistopathology
May 2023
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Aims: There is strong evidence that cribriform morphology indicates a worse prognosis of prostatic adenocarcinoma. Our aim was to investigate its interobserver reproducibility in prostate needle biopsies.
Methods And Results: A panel of nine prostate pathology experts from five continents independently reviewed 304 digitised biopsies for cribriform cancer according to recent International Society of Urological Pathology criteria.
Diagnostics (Basel)
November 2021
Nuffield Department of Surgical Sciences, University of Oxford, Oxford OX3 9DU, UK.
Background: In this article we share our experience of creating a digital pathology (DP) supraregional germ cell tumour service, including full digitisation of the central laboratory.
Methods: DP infrastructure (Philips) was deployed across our hospital network to allow full central digitisation with partial digitisation of two peripheral sites in the supraregional testis germ cell tumour network. We used a survey-based approach to capture the quantitative and qualitative experiences of the multidisciplinary teams involved.
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