AIMC Topic: Germany

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[Artificial intelligence and ethics in healthcare-balancing act or symbiosis?].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Artificial intelligence (AI) is becoming increasingly important in healthcare. This development triggers serious concerns that can be summarized by six major "worst-case scenarios". From AI spreading disinformation and propaganda, to a potential new ...

[Digitalization in healthcare: today and in the future].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Although Germany continues to struggle with the digital transformation of healthcare, there is reason for optimism. The political will to improve healthcare with digital technologies has been underpinned by numerous legal initiatives since 2018. In a...

The Dresden Surgical Anatomy Dataset for Abdominal Organ Segmentation in Surgical Data Science.

Scientific data
Laparoscopy is an imaging technique that enables minimally-invasive procedures in various medical disciplines including abdominal surgery, gynaecology and urology. To date, publicly available laparoscopic image datasets are mostly limited to general ...

[Validation and implementation of artificial intelligence in radiology : Quo vadis in 2022?].

Radiologie (Heidelberg, Germany)
BACKGROUND: The hype around artificial intelligence (AI) in radiology continues and the number of approved AI tools is growing steadily. Despite the great potential, integration into clinical routine in radiology remains limited. In addition, the lar...

[Artificial intelligence in the diagnosis of rare disorders: the development of phenotype analysis].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Rare diseases can often be diagnosed by carefully assessing the phenotype of the patient, as characteristic deviations (dysmorphisms) occur in many genetic diseases. These affect, for example, the features of the face - the "facial gestalt."This pape...

Predicting mortality in the very old: a machine learning analysis on claims data.

Scientific reports
Machine learning (ML) may be used to predict mortality. We used claims data from one large German insurer to develop and test differently complex ML prediction models, comparing them for their (balanced) accuracy, but also the importance of different...

Automated multilabel diagnosis on electrocardiographic images and signals.

Nature communications
The application of artificial intelligence (AI) for automated diagnosis of electrocardiograms (ECGs) can improve care in remote settings but is limited by the reliance on infrequently available signal-based data. We report the development of a multil...

Combining graph neural networks and spatio-temporal disease models to improve the prediction of weekly COVID-19 cases in Germany.

Scientific reports
During 2020, the infection rate of COVID-19 has been investigated by many scholars from different research fields. In this context, reliable and interpretable forecasts of disease incidents are a vital tool for policymakers to manage healthcare resou...

Deep learning shows declining groundwater levels in Germany until 2100 due to climate change.

Nature communications
In this study we investigate how climate change will directly influence the groundwater resources in Germany during the 21 century. We apply a machine learning groundwater level prediction approach based on convolutional neural networks to 118 sites ...

Robotic-assisted Versus Laparoscopic Radical Prostatectomy: 12-month Outcomes of the Multicentre Randomised Controlled LAP-01 Trial.

European urology focus
BACKGROUND: Recently, our LAP-01 trial demonstrated superiority of robotic-assisted laparoscopic radical prostatectomy (RARP) over conventional laparoscopic radical prostatectomy (LRP) with respect to continence at 3 mo.