Responsible AI for Mental Healthcare: Potential and Pitfalls
| Event Details | |
|---|---|
| Date: | 05.12.2023, 17:30 o'clock - 18:30 o'clock |
| Location: | Kleiner Hörsaal Universitätsklinikum, Stenglinstraße 2, 86156 Augsburg |
| Organizer(s): | Lehrstuhl für Biomedizinische Informatik, Data Mining und Data Analytics |
| Topics: | Informatik, Gesundheit und Medizin |
| Series of events: | Medical Information Sciences |
| Event Type: | Vortragsreihe |
| Speaker(s): | Prof. Anne de Hond |
In diesem Wintersemester wird die im letzten Jahr erfolgreich gestartete Vortragsreihe Medical Information Sciences fortgesetzt. Renommierte Wissenschaftlerinnen und Wissenschaftler unterschiedlicher Fachdisziplinen und Forschungsstandorte geben jeden Dienstag ab 17:30 Uhr Einblicke in aktuelle Fragestellungen und Anwendungsgebiete des breiten Forschungsfeldes Medical Information Sciences.
Clinical decision support tools with artificial intelligence (AI) technologies could synthesize the abundance of data collected in hospitals to help clinicians in identifying which patients may need specific attention and steer additional mental health resources to those at high risk. However, methodological and implementation challenges, such as algorithmic fairness and generalizability, deserve further attention when developing AI-tools within the (mental) healthcare domain. In this talk, we will address the potential and pitfalls for developing responsible AI for mental healthcare.
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