AIMC Topic: Germany

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Retrieval-Augmented Generation for ICD-10 Coding in German Clinical Texts - A Technical Case Report.

Studies in health technology and informatics
INTRODUCTION: Manual ICD-10 coding of German clinical texts is time-consuming and error-prone. This project aims to develop a semi-automated pipeline for efficient coding of unstructured medical documentation.

Utilization of Broad Consent as an Effective Instrument for Study Recruitment.

Studies in health technology and informatics
BACKGROUND: Recruiting patients for the participation in studies is a complex and time-consuming task.

Quality of Machine Translations in Medical Texts: An Analysis Based on Standardised Evaluation Metrics.

Studies in health technology and informatics
INTRODUCTION: The medical care of patients with rare diseases is a cross-border concern across the EU. This is also reflected in the usage statistics of the SE-ATLAS, where most access occurs via browser languages set to German, English, French, or P...

Prompting Is All You Need - Until It Isn't: Exploring the Limits of LLMs for Negation Detection in German Clinical Text.

Studies in health technology and informatics
INTRODUCTION: Detecting negations in clinical text is crucial for accurate documentation and decision-making.

Time series data analysis to predict the status of mastitis in dairy cows by applying machine learning models to automated milking systems data.

Preventive veterinary medicine
Mastitis in dairy cows is one of the most important issues that not only pose risk to animal health and welfare but also cause huge direct and indirect economic losses to the dairy sector. In recent times, automated milking systems (AMS) have gained ...

[Is the application of digital technologies the game changer for surgical training of the future? A Germany-wide analysis].

Chirurgie (Heidelberg, Germany)
BACKGROUND: The use of digital technologies is becoming increasingly important in medicine and is having a significant impact on developments in the surgical field. However, there is a great need to improve and implement those new techniques in surgi...

From Text to Knowledge: An End-To-End Extraction Pipeline for Clinical Information.

Studies in health technology and informatics
This study explores the use of Large Language Models (LLMs) in extracting and structuring allergic reaction data from non-English clinical free texts. Leveraging open-source models such as Llama 3.1, Qwen 2.5, and Mistral NeMo, the study utilizes 500...

[Applications, challenges and a trustworthy use of artificial intelligence in public health].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
The rapid advancements in artificial intelligence (AI) over recent years have resulted in its integration into people's everyday lives. The wide availability of diverse data within the public health sector opens up a number of fields of application f...

[Artificial intelligence in preventive medicine for children and adolescents-applications and acceptance].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
The use of artificial intelligence (AI) in pediatric and adolescent medicine offers numerous possibilities, particularly in the prevention of chronic diseases. AI-powered applications such as machine learning for the analysis of speech or movement pa...

[Implementation of artificial intelligence (AI) in healthcare: historical development, current technologies and challenges].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
The historical development of artificial intelligence (AI) in healthcare since the 1960s shows a transformation from simple rule-based systems to complex, data-driven approaches. Early applications focused on decision support, while innovative system...