Profil bibliographique

Andreas Mayr

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

14Publications signalées
3Citations signalées
1Affiliations récentes

Les institutions déclarées

Philipps University of Marburg

Les domaines associés

Artificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic SkillsInnovations in Medical EducationRheumatoid Arthritis Research and Therapies

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

Certified large language model-based diagnostic decision support in rheumatology: the ALLIANCE multicentre randomised controlled trial

Phillip Kremer, Nadine Schlicker, Ragip Hasnaj, Jonathan Bamberger et autres

Abstract Objectives To evaluate whether access to a certified large language model (LLM)-based clinical decision support system improves physician diagnostic performance in rheumatology compared with conventional diagnostic resources alone. Methods In this multicentre, open-label, randomised controlled trial, 82 physicians from seven hospitals …

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0 citations medRxiv
Accès ouvert 2026 article OpenAlex

Large language models enhance diagnostic reasoning of medical students in rheumatology: a randomized controlled trial

Anna Roemer, Nadine Schlicker, Anna Kernder, Benedikt Albe et autres

BACKGROUND: Diagnostic errors and delays are common in rheumatology, driven by overlapping symptoms and the rarity of many diseases. While traditional diagnostic decision support systems (DDSS) have seen limited adoption because of high input burden and low perceived value, large language models …

de (code pays fourni par la source)

3 citations BMC Medical Education
Accès ouvert 2026 other OpenAlex

Large language models enhance diagnostic reasoning of medical students in rheumatology: a randomized controlled trial

Anna Roemer, Nadine Schlicker, Anna Luise Kernder, Benedikt Albe et autres

Abstract Background Diagnostic errors and delays are common in rheumatology, driven by overlapping symptoms and the rarity of many diseases. While traditional diagnostic decision support systems (DDSS) have seen limited adoption because of high input burden and low perceived value, large language …

de (code pays fourni par la source)

0 citations Figshare
Notice OpenAlex

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