Latest Research in Explainable Artificial Intelligence (XAI)

Top Research Topics in Explainable Artificial Intelligence (XAI)

• Artificial Intelligence in Healthcare and Education — 23 papers
• Computation and Language — 10 papers
• Explainable Artificial Intelligence (XAI) — 4 papers
• AI in Service Interactions — 2 papers
• Human-Computer Interaction — 2 papers
• Personal Information Management and User Behavior — 2 papers
• Artificial Intelligence — 2 papers
• Methodology — 2 papers
• Computational and Text Analysis Methods — 1 papers
• Topic Modeling — 1 papers

Highest-Cited Papers

1. Generative Artificial Intelligence in Hip and Knee Arthroplasty: A Systematic Review of Emerging Clinical Applications in Patient Communication and Education, Documentation, and Decision Support.
2. Artificial intelligence as a tool for providing feedback in an internal medicine residency program: a survey of residents’ perceptions
3. AI-Powered Appointment Assistant Platform: Transforming Patient Scheduling with Conversational AI
4. User experiences and community responses to generative artificial intelligence health advice on reddit: topic modeling and content analysis study
5. The Use of Artificial Intelligence Chatbots by Newly Diagnosed Cancer Patients: A Descriptive Phenomenological Study
6. Utilization of a HIPAA-compliant large language model chatbot in an academic pediatric medical center
7. When Consistency Becomes Bias: Interviewer Effects in Semi-Structured Clinical Interviews
8. Auditing sex/gender disparities in emergency triage with LLM-based paired comparisons
9. Artificial Intelligence in Bariatric Patient Education: A Multi-rater Evaluation of Reliability, Readability, and Clinical Validity of ChatGPT 5.2
10. Verify, Offload, Extend & Recommend: Selective Complementarity in AI Support for Physical Activity Planning with Longitudinal Patient Data
11. Building a Cultural Perspective on Doctor-Patient Conversations
12. Explainable Artificial Intelligence for Event and Anomaly Detection in Healthcare Monitoring Systems
13. From the DSM to ChatGPT: When the Framework Becomes the Boundary of Attention
14. A Reproducible Experimental Protocol for Developing and Evaluating Explainable Artificial Intelligence Models in Healthcare Systems
15. On-premise medical AI agents for reliable clinical decision-making
16. Toward AI‐Assisted Methodological Evaluations of Health Risk Analyses Using Diverse Types of Evidence
17. Early evidence for a multi-agent AI simulator for clinical reasoning practice: performance, consistency, and challenges
18. Lightweight structure-aware explanations for rule-based models: application to radiotherapy risk communication in breast cancer
19. Design and Implementation of AI Planner: An Intelligent Daily Planning and Habit Tracking Framework with Speech-to-Intent NLP and Affective Analytics
20. Design and Implementation of AI Planner: An Intelligent Daily Planning and Habit Tracking Framework with Speech-to-Intent NLP and Affective Analytics