AIMC Topic: Germany

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[AI-enabled clinical decision support systems: challenges and opportunities].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Clinical decision-making is inherently complex, time-sensitive, and prone to error. AI-enabled clinical decision support systems (CDSS) offer promising solutions by leveraging large datasets to provide evidence-based recommendations. These systems ra...

[Taking digital healthcare to the next level: what practices and clinics need for digitalization!].

Urologie (Heidelberg, Germany)
BACKGROUND: Digitalization in urology is bringing about profound changes. While artificial intelligence (AI)-supported diagnoses, telemedical consultations and electronic patient files offer promising advances, challenges remain in the areas of techn...

[Geriatric Assessment in the Hospital - An Overview of Clinical Guidelines].

Deutsche medizinische Wochenschrift (1946)
According to forecasts, 27 % of the German population will be aged 65 or over by 2050. Age-associated multimorbidity, functional impairment and need for care have a considerable impact on the healthcare system. A comprehensive geriatric assessment (C...

An informed deep learning model of the Omicron wave and the impact of vaccination.

Computers in biology and medicine
The Omicron (B.1.1.529) variant of SARS-CoV-2 emerged in November 2021 and has since evolved into multiple lineages. Understanding its transmission, vaccine efficacy, and potential for reinfection is crucial. This study examines the dynamics of Omicr...

Enhancing professional communication training in higher education through artificial intelligence(AI)-integrated exercises: study protocol for a randomised controlled trial.

BMC medical education
BACKGROUND: Effective communication skills are fundamental for health care professionals, yet conventional training methods face challenges in scalability and accessibility due to resource constraints. The emergence of artificial intelligence (AI), p...

Attitudes Toward AI Usage in Patient Health Care: Evidence From a Population Survey Vignette Experiment.

Journal of medical Internet research
BACKGROUND: The integration of artificial intelligence (AI) holds substantial potential to alter diagnostics and treatment in health care settings. However, public attitudes toward AI, including trust and risk perception, are key to its ethical and e...

Novel Blended Learning on Artificial Intelligence for Medical Students: Qualitative Interview Study.

JMIR medical education
BACKGROUND: Artificial intelligence (AI) systems are becoming increasingly relevant in everyday clinical practice, with Food and Drug Administration-approved AI solutions now available in many specialties. This development has far-reaching implicatio...

Comparison of ChatGPT and Internet Research for Clinical Research and Decision-Making in Occupational Medicine: Randomized Controlled Trial.

JMIR formative research
BACKGROUND: Artificial intelligence is becoming a part of daily life and the medical field. Generative artificial intelligence models, such as GPT-4 and ChatGPT, are experiencing a surge in popularity due to their enhanced performance and reliability...

Perceptions of the German General Population Towards Implementing Artificial Intelligence in Medical Care: A Population-Based Survey.

Studies in health technology and informatics
The rise of artificial intelligence (AI) in medical care presents several opportunities, including improving patient outcomes. As part of the PEAK project (Perspectives on the Use and Acceptance of Artificial Intelligence in Medical Care), this study...

Building the Infrastructure for the German Medical Text Corpus Project (GeMTeX).

Studies in health technology and informatics
The German Medical Text Project (GeMTeX) is one of the largest infrastructure efforts for German-language clinical documents. To determine the different starting points of the participating institutions, we conducted a survey regarding standards, ann...