Tag: Artificial Intelligence in Healthcare and Education
Cognitive and respiratory issues were linked to poorer cardiac MR quality
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in MedicineWhat the study found Cognitive and communication impairment and respiratory compromise were independently associated with poor cardiac MR image quality. The associations remained after a sensitivity analysis that adjusted for repeat imaging. Why the authors say this matters The study suggests that identifying these pre-imaging clinical factors may help explain which patients are more likely…

Implant safety and implementation need stronger system-wide support
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in DentistryWhat the study found The authors report that complex medical implants face important safety and implementation problems in general healthcare systems. They argue that first-in-human use is not sufficiently standardized or regulated, and that even after approval, training, funding, patient selection, and reporting can remain weak. Why the authors say this matters The authors conclude…

AI scribes were linked to less EHR time and more visits
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in MedicineAI-powered medical scribes decrease EHR and documentation time for clinicians while modestly increasing weekly visit volume, suggesting incremental workflow efficiency gains.

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

Some medical chatbot answers may be unsafe
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in MedicinePhysician-led evaluation of four large language model chatbots reveals unsafe medical advice rates from 5-13%, with potentially serious consequences for patient care.

Students valued an AI learning assistant but had ethical concerns
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.

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

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









