Artificial Intelligence in Healthcare and Education

DuoDrama uses AI agents to generate screenplay feedback that coordinates character perspectives with story-level views, improving screenwriter reflection during refinement.

Study identifies barriers to AIoT elderly care adoption in Beijing, proposing policy solutions addressing systemic fragmentation, digital literacy gaps, workforce shortages, and funding challenges.

Examine how AI-powered video interview platforms discriminate against job seekers with disabilities through algorithmic bias, surveillance, and opacity in hiring processes.

Study examining how interactive interface design can promote trustworthy large language model integration in newsrooms, identifying five key challenges and prototyping solutions.

Discover how generative AI enables educators to create interactive simulations without coding expertise. Learn the vibe coding approach transforming management education through accessible.

AI-powered medical scribes decrease EHR and documentation time for clinicians while modestly increasing weekly visit volume, suggesting incremental workflow efficiency gains.

Analysis of how generative artificial intelligence transforms research practices, examining opportunities in data analysis and pattern recognition alongside ethical challenges.

RPA implementation for cancer registry data abstraction achieved 74% time reduction in gastric cancer and 30% in breast cancer, with success dependent on clinician cooperation and output monitoring.

Explore AI's transformative impact on higher education, examining opportunities in personalized learning alongside challenges in academic integrity, bias, and institutional governance.

Design-based research evaluates GenAI literacy training for teacher education students, showing improvements in self-efficacy and critical engagement with AI tools.

Physician-led evaluation of four large language model chatbots reveals unsafe medical advice rates from 5-13%, with potentially serious consequences for patient care.

Mixed-methods evaluation of an AI learning assistant in engineering courses reveals high usability appeal but identifies ethical policy uncertainty as a key barrier to broader student engagement.

Qualitative study examining how AI technologies reshape assessment practices in management education, analyzing adoption patterns and organizational drivers across Sri Lankan institutions.

Analysis of whether AI represents foundational change or technocratic distraction in public health, emphasizing alignment with equity, prevention, and democratic governance.

Survey of 71 students reveals perceptions of generative AI as academically beneficial while raising concerns about privacy, reliability, and plagiarism, with strong commitment to integrity principles.

Study of 46 Turkish language teacher candidates reveals predominantly positive metaphorical views of AI in education, with 78% expressing optimism, but highlights need for ethics education.

Explore a competency framework for integrating AI education into dental curricula, from foundational knowledge to clinical implementation and innovation across preclinical and clinical training.

Mixed methods study of 723 prospective teachers finds GenAI acceptance and AI literacy vary by discipline, grade, tool use, and proficiency, with formal training increasing literacy.

Study of 124 Dutch L1 teachers' beliefs about generative AI in language education, examining acceptance levels, concerns, and opportunities for integration in writing, linguistics, and literature.

Explore how hospital accreditation standards establish foundational capabilities for AI implementation, including governance, data infrastructure, and workforce readiness in healthcare settings.