| Fast healthcare interoperability resources (FHIR) for interoperability in health research: systematic review CN Vorisek, M Lehne, SAI Klopfenstein, PJ Mayer, A Bartschke, T Haese, ... JMIR medical informatics 10 (7), e35724, 2022 | 122 | 2022 |
| Secondary data for global health digitalisation AF Näher, CN Vorisek, SAI Klopfenstein, M Lehne, S Thun, S Alsalamah, ... The Lancet Digital Health 5 (2), e93-e101, 2023 | 44 | 2023 |
| Computational approaches to alleviate alarm fatigue in intensive care medicine: a systematic literature review J Chromik, SAI Klopfenstein, B Pfitzner, ZC Sinno, B Arnrich, F Balzer, ... Frontiers in digital health 4, 843747, 2022 | 26 | 2022 |
| MIMIC-IV as a clinical data schema N Giesa, P Heeren, S Klopfenstein, A Flint, L Agha-Mir-Salim, A Poncette, ... Challenges of Trustable AI and Added-Value on Health, 559-560, 2022 | 25 | 2022 |
| Fast Healthcare Interoperability Resources (FHIR) for interoperability in health research: systematic review. JMIR Med Inform. 2022; 10: e35724 CN Vorisek, M Lehne, SAI Klopfenstein, PJ Mayer, A Bartschke, T Haese, ... | 20 | |
| Lernangebote zu künstlicher intelligenz in der medizin L Mosch, DA Back, F Balzer, M Bernd, J Brandt, S Erkens, N Frey, ... Berlin: KI-Campus 10, 2021 | 19 | 2021 |
| Facilitating study and item level browsing for clinical and epidemiological COVID-19 studies CO Schmidt, J Darms, A Shutsko, M Löbe, R Nagrani, B Seifert, ... Public Health and Informatics, 794-798, 2021 | 19 | 2021 |
| Artificial intelligence bias in health care: web-based survey CN Vorisek, C Stellmach, PJ Mayer, SAI Klopfenstein, DM Bures, A Diehl, ... Journal of Medical Internet Research 25, e41089, 2023 | 18 | 2023 |
| A standardized clinical data harmonization pipeline for scalable AI application deployment (FHIR-DHP): Validation and usability study E Williams, M Kienast, E Medawar, J Reinelt, A Merola, SAI Klopfenstein, ... JMIR Medical Informatics 11, e43847, 2023 | 16 | 2023 |
| The medical profession transformed by artificial intelligence: Qualitative study L Mosch, D Fürstenau, J Brandt, J Wagnitz, SAI Klopfenstein, AS Poncette, ... Digital Health 8, 20552076221143903, 2022 | 13 | 2022 |
| Evaluating Suitability of SNOMED CT in Structured Searches for COVID-19 Studies CN Vorisek, SAI Klopfenstein, J Sass, M Lehne, CO Schmidt, S Thun Public Health and Informatics, 88-92, 2021 | 10 | 2021 |
| Fast Healthcare Interoperability Resources (FHIR) in a FAIR metadata registry for COVID-19 research SAI Klopfenstein, CN Vorisek, A Shutsko, M Lehne, J Sass, M Löbe, ... Applying the FAIR Principles to Accelerate Health Research in Europe in the …, 2021 | 9 | 2021 |
| The influence of patient characteristics on the alarm rate in intensive care units: a retrospective cohort study ZC Sinno, D Shay, J Kruppa, SAI Klopfenstein, N Giesa, AR Flint, ... Scientific Reports 12 (1), 21801, 2022 | 8 | 2022 |
| Artificial intelligence competencies in postgraduate medical training in Germany L Agha-Mir-Salim, L Mosch, SAI Klopfenstein, MM Wunderlich, N Frey, ... Challenges of Trustable AI and Added-Value on Health, 805-806, 2022 | 4 | 2022 |
| Bringing Communities Together: Mapping the Investigation-Study-Assay-Model (ISA) to Fast Healthcare Interoperability Resources (FHIR) SAI Klopfenstein, J Sass, CN Vorisek, F Jorczik, CO Schmidt, M Löbe, ... MEDINFO 2023—The Future Is Accessible, 18-22, 2024 | 3 | 2024 |
| How to Annotate Patient Monitoring Alarms in Intensive Care Medicine for Machine Learning SAI Klopfenstein, AR Flint, P Heeren, M Prendke, A Chaoui, T Ocker, ... | 3 | 2023 |
| Extracting Alarm Events from the MIMIC-III Clinical Database. J Chromik, B Pfitzner, N Ihde, M Michaelis, D Schmidt, SAI Klopfenstein, ... HEALTHINF, 328-335, 2022 | 3 | 2022 |
| Forecasting Thresholds Alarms in Medical Patient Monitors using Time Series Models. J Chromik, B Pfitzner, N Ihde, M Michaelis, D Schmidt, SAI Klopfenstein, ... HEALTHINF, 26-34, 2022 | 3 | 2022 |
| Implementing SNOMED CT in Open Software Solutions to Enhance the Findability of COVID-19 Questionnaires CN Vorisek, EA Essenwanger, SAI Klopfenstein, J Sass, J Henke, ... Challenges of Trustable AI and Added-Value on Health, 649-653, 2022 | 2 | 2022 |
| Utilizing intensive care alarms for machine learning AR Flint, SAI Klopfenstein, P Heeren, F Balzer, AS Poncette Challenges of Trustable AI and Added-Value on Health, 273-274, 2022 | 2 | 2022 |
