RESEARCHER PROFILE
Michael Schmucker
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Heilbronn University
Michael Schmucker works in Artificial Intelligence in Healthcare and Education, Electronic Health Records Systems, Emergency and Acute Care Studies, IoT and Edge/Fog Computing, Augmented Reality Applications. Recorded institutional associations include Heilbronn University.
18Publications
42Citations
4H-index
Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.
Selected research works
Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.
Development of an Accommodative Smartphone App for Medical Guidelines in Pediatric Emergencies
2014 · 12 citationsDevelopment of a Clinical Decision Support System for Smart Algorithms in Emergency Medicine
2022 · 8 citationsAutomated Size Recognition in Pediatric Emergencies Using Machine Learning and Augmented Reality: Within-Group Comparative Study
2021 · 7 citationsOPTINOFA – Intelligenter Assistenzdienst zur strukturierten Ersteinschätzung in der Notaufnahme
2024 · 5 citationsEvaluation of Depth Cameras for Use as an Augmented Reality Emergency Ruler
2019 · 4 citationsSpeech Recognition Evaluation of a State-Of-The-Art Smartglass in the Use Case Pediatric Resuscitation
2019 · 2 citationsMobile Robotic Telepresence Between Hospital and School: Lessons Learned
2020 · 2 citationsStrukturierte Ersteinschätzung in der Notaufnahme mittels des intelligenten Assistenzdienstes OPTINOFA
2024 · 2 citationsWearable Technology in Medicine: Machine-to-Machine (M2M) Communication in Distributed Systems
2016 · 0 citationsTowards a Ubiquitous Child Emergency App – Ideas to Simplify and Ensure the Machine-2-Machine Communication
2021 · 0 citationsA Pipeline for Real-Time Synchronization of Relevant Data in Pediatric Emergencies
2024 · 0 citationsDigitale Assistenz zur Entscheidungsunterstützung in der Notaufnahme mit Hilfe von erklärbaren KI-Verfahren (ML)
2022 · 0 citationsIntelligent Assistance Services and personalized Learning Environments for Knowledge- and Action support in the Interdisciplinary Emergency Room
2016 · 0 citations
