Issue 3/2024 AI in Healthcare and the Public Sector
Content (16 Articles)
AI in Healthcare and the Public Sector: How to Face the Challenges of High-Risk Applications and What AI Research Can Get Out of It
- Open Access
- Survey
Tanya Braun, Ralf Möller
Analyzing Semantically Enriched Trajectories
- Open Access
- Dissertation and Habilitation Abstracts
Jana Seep
Partial Image Active Annotation (PIAA): An Efficient Active Learning Technique Using Edge Information in Limited Data Scenarios
- Open Access
- Technical Contribution
Md Abdul Kadir, Hasan Md Tusfiqur Alam, Devansh Srivastav, Hans-Jürgen Profitlich, Daniel Sonntag
Project Report: Requirements for a Social Robot as an Information Provider in the Public Sector
- Open Access
- Project Reports
Thomas Sievers, Nele Russwinkel
Auditive Emotion Recognition for Empathic AI-Assistants
- Open Access
- Project Reports
Roswitha Duwenbeck, Elsa Andrea Kirchner
Human-Centered Explanations: Lessons Learned from Image Classification for Medical and Clinical Decision Making
- Open Access
- Project Reports
Bettina Finzel
Building an AI Support Tool for Real-Time Ulcerative Colitis Diagnosis
- Project Reports
Bjørn Leth Møller, Bobby Zhao Sheng Lo, Johan Burisch, Flemming Bendtsen, Ida Vind, Bulat Ibragimov, Christian Igel
EpiPredict: Agent-Based Modeling of Infectious Diseases
- Open Access
- Project Reports
Janik Suer, Johannes Ponge, Bernd Hellingrath
PrivAgE: A Toolchain for Privacy-Preserving Distributed Aggregation on Edge-Devices
- Open Access
- Systems Description
Johannes Liebenow, Timothy Imort, Yannick Fuchs, Marcel Heisel, Nadja Käding, Jan Rupp, Esfandiar Mohammadi
Automated Computation of Therapies Using Failure Mode and Effects Analysis in the Medical Domain
- Open Access
- Technical Contribution
Malte Luttermann, Edgar Baake, Juljan Bouchagiar, Benjamin Gebel, Philipp Grüning, Dilini Manikwadura, Franziska Schollemann, Elisa Teifke, Philipp Rostalski, Ralf Möller
AutoRAG: Grounding Text and Symbols
- Open Access
- Technical Contribution
Tim Schulz, Malte Luttermann, Ralf Möller
Dissertation Abstract: Taming Exact Inference in Temporal Probabilistic Relational Models
- Open Access
- Dissertation and Habilitation Abstracts
Marcel Gehrke
Lifting in Support of Privacy-Preserving Probabilistic Inference
- Open Access
- Technical Contribution
Marcel Gehrke, Johannes Liebenow, Esfandiar Mohammadi, Tanya Braun
Lessons from Resource-Aware Machine Learning for Healthcare: An Interview with Katharina Morik
- Interview
Tanya Braun, Ralf Möller
