ReviewFrontiers in veterinary science2025
Based on digital intelligence: teaching innovation and practice of veterinary internal medicine in China's southwest frontier.
Review in Frontiers in veterinary science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Preliminary Assessment of the Effect of a Flipped Classroom Combined with Mind Mapping on Learning Outcomes in Ultrasound Use in Animal Husbandry Education: A Comparison with Traditional Lecture-Based Learning Among Third-Year BS Students in China.Animals : an open access journal from MDPI · 2026Article
- A paradigm shift and practical exploration in veterinary pharmacology and toxicology teaching reform in China's frontier regions under AI empowerment.Frontiers in veterinary science · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Veterinary internal medicine is a core discipline in animal medicine, crucial for advancing the livestock industry. Nevertheless, conventional teaching methods often suffer from fragmented content, inadequate clinical exposure, and a disconnect from industry requirements. In response, reforms guided by the principle of "integrating knowledge with practice and harmonizing learning with application" are increasingly adopting digital and intelligent technologies. Key innovations include the use of AI-based knowledge graphs to reorganize curricula into a three-phase virtual-real closed-loop system, enabling blended online-offline instruction. This structure supports the integration of theoretical learning, virtual simulation, and clinical application through case analyses, practical exercises, and collaborative discussions. Additionally, virtual simulation platforms and academic-industry partnerships provide holistic training via intelligent case studies and realistic scenario simulations, enhancing clinical reasoning and operational skills. A multidimensional dynamic assessment system has also been introduced, incorporating process-oriented and multi-source evaluations. This system blends online and offline components, integrates corporate feedback, embeds public health and ideological education, and employs blockchain-based micro-credentials to certify competencies. These developments contribute to improved diagnostic decision-making and professional aptitude, while also facilitating the digital transformation of the livestock sector by cultivating skilled, innovative practitioners.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.