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Artificial Intelligence Competencies in Postgraduate Medical Training in Germany.

Studies in health technology and informatics
Routine medical care is to be transformed by the introduction of artificial intelligence (AI), requiring medical professionals to acquire a novel set of skills. We assessed the density of AI learning objectives and the availability of courses contain...

The Prediction of Fall Circumstances Among Patients in Clinical Care - A Retrospective Observational Study.

Studies in health technology and informatics
Standardized fall risk scores have not proven to reliably predict falls in clinical settings. Machine Learning offers the potential to increase the accuracy of such predictions, possibly vastly improving care for patients at high fall risks. We devel...

What Tears Couples Apart: A Machine Learning Analysis of Union Dissolution in Germany.

Demography
This study contributes to the literature on union dissolution by adopting a machine learning (ML) approach, specifically Random Survival Forests (RSF). We used RSF to analyze data on 2,038 married or cohabiting couples who participated in the German ...

Distributed Skin Lesion Analysis Across Decentralised Data Sources.

Studies in health technology and informatics
Skin cancer has become the most common cancer type. Research has applied image processing and analysis tools to support and improve the diagnose process. Conventional procedures usually centralise data from various data sources to a single location a...

Correction for the Influence of Cataract on Macular Pigment Measurement by Autofluorescence Technique Using Deep Learning.

Translational vision science & technology
PURPOSE: Measurements of macular pigment optical density (MPOD) by the autofluorescence technique yield underestimations of actual values in eyes with cataract. We applied deep learning (DL) to correct this error.

[The first 50 robot-assisted donor nephrectomies : Lessons learned].

Der Urologe. Ausg. A
BACKGROUND: Minimally invasive donor nephrectomy (DN) is considered the gold standard, but the role of robot-assisted surgery is still controversial.

Joint Imaging Platform for Federated Clinical Data Analytics.

JCO clinical cancer informatics
PURPOSE: Image analysis is one of the most promising applications of artificial intelligence (AI) in health care, potentially improving prediction, diagnosis, and treatment of diseases. Although scientific advances in this area critically depend on t...

[Challenges of digitalization in trauma care].

Der Unfallchirurg
The increasing digitalization of social life opens up new possibilities for modern health care. This article describes innovative application possibilities that could help to sustainably improve the treatment of severe injuries in the future with the...

The toll of noninfected CRS patients to the COVID-19 pandemic.

Rhinology
Social distancing with the aim of avoiding infections and pre-serve critical care capacities during the COVID-19 pandemic has been implemented in Germany according to World Health Organization (WHO) recommendations from early March onwards. Limitatio...