Examining human-AI interaction in real-world healthcare beyond the laboratory
Artificial Intelligence (AI) is revolutionizing healthcare, but its true impact depends on seamless human interaction. While most research focuses on technical metrics, we lack frameworks to measure the compatibility or synergy of real-world human-AI interactions in healthcare settings. We propose a...
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| Main Authors: | , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
19 March 2025
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| In: |
npj digital medicine
Year: 2025, Volume: 8, Pages: 1-6 |
| ISSN: | 2398-6352 |
| DOI: | 10.1038/s41746-025-01559-5 |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s41746-025-01559-5
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| Author Notes: | Magdalena Katharina Wekenborg, Stephen Gilbert & Jakob Nikolas Kather |
| Summary: | Artificial Intelligence (AI) is revolutionizing healthcare, but its true impact depends on seamless human interaction. While most research focuses on technical metrics, we lack frameworks to measure the compatibility or synergy of real-world human-AI interactions in healthcare settings. We propose a multimodal toolkit combining ecological momentary assessment, quantitative observations, and baseline measurements to optimize AI implementation. |
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| Item Description: | Gesehen am 21.10.2025 |
| Physical Description: | Online Resource |
| ISSN: | 2398-6352 |
| DOI: | 10.1038/s41746-025-01559-5 |