AIMC Topic: Germany

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[Artificial intelligence under scrutiny: requirements, quality criteria, and testing tools for medical applications].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
The use of artificial intelligence (AI) in medicine has great potential to improve quality and efficiency. At the same time, its use is associated with risks. In order to prevent harm, experts from research and politics are developing requirements, t...

Leveraging machine-learning techniques to detect recurrences in cancer registry data: A multi-registry validation study using German lung cancer data.

European journal of cancer (Oxford, England : 1990)
BACKGROUND: Cancer recurrence and progression, once seen as markers of poor prognosis, are now considered manageable aspects of long-term care. Advances in treatment have extended survival, emphasizing the need for representative epidemiological info...

[AI in rehabilitation-application of artificial mental models for personalized medicine].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Artificial intelligence (AI) can support patient-centered care in prevention and rehabilitation. In Germany, almost 1.9 million patients were treated in rehabilitation hospitals in 2023, mostly due to musculoskeletal disorders. The success of rehabil...

[Regulatory classification of AI-enabled products for medical use on the basis of the EU AI Act and MDR/IVDR].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
The use of artificial intelligence (AI) in healthcare offers great potential but also presents regulatory challenges. The EU Artificial Intelligence Act (AIA), the Medical Device Regulation (MDR), and the Regulation on in vitro diagnostic medical dev...

Investigating psychotherapists' attitudes towards artificial intelligence in psychotherapy.

BMC psychology
BACKGROUND: The increasing prevalence of mental health disorders, compounded by a global shortage of psychotherapists, highlights the need for innovative solutions such as Artificial Intelligence (AI) or Machine Learning (ML) applications. These tech...

Physiological serum uric acid concentrations correlate with arterial stiffness in a sex-dependent manner.

BMC medicine
BACKGROUND: In humans, uric acid is a product of purine metabolism that impacts the vascular system. In addition to effects on arterial vascular tone, associations between serum uric acid concentrations-even in the physiological range-and arterial hy...

[Participatory approaches in the development of AI applications in medicine: opportunities and challenges].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
The increasing integration of artificial intelligence (AI) in healthcare not only holds the potential for efficiency gains, personalized medicine, and evidence-based decisions but also raises ethical and social challenges, such as bias, lack of trans...

Exploring the social dimensions of AI integration in healthcare: a qualitative study of stakeholder views on challenges and opportunities.

BMJ open
OBJECTIVES: This study aimed to investigate the opportunities and challenges associated with integrating artificial intelligence (AI) in healthcare by exploring the perspectives of various stakeholders. The objective was to provide a nuanced understa...

Artificial intelligence and the wellbeing of workers.

Scientific reports
This study explores the relationship between artificial intelligence (AI) and workers' well-being and health using longitudinal survey data from Germany (2000-2020). Using a measure of occupational exposure to AI, we explore an event study design and...

Enhancing early detection and treatment of psychosis in Germany: a protocol for the health economic evaluation of an artificial intelligence-guided complex intervention.

BMJ open
INTRODUCTION: Psychosis, characterised by chronic symptoms often emerging in youth, imposes a substantial burden on individuals and healthcare systems. While early detection and intervention can mitigate this burden, there is limited evidence on the ...