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5 postsTowards a Planetary Health Impact Assessment Framework: Exploring Expert Knowledge and Artificial Intelligence for a RF-EMF Exposure Case-Study
This peer-reviewed article proposes a Planetary Health Impact Assessment (PHIA) framework to evaluate not only direct health effects of radiofrequency electromagnetic fields (RF-EMF) but also potential indirect impacts on human health mediated through ecosystem disruption. Using mobile telecommunication RF-EMF as a case study, the authors and 12 experts built a knowledge graph of hypothesized pathways and compared it with an AI/NLP tool that extracts literature into knowledge graphs. The paper reports that AI can process large volumes quickly but currently needs substantial expert validation due to limitations in precision and context sensitivity, and it highlights potential gaps in the literature on indirect/ecological pathways.
Towards a Planetary Health Impact Assessment Framework: Exploring Expert Knowledge & Artificial Intelligence for RF-EMF Exposure Case-Study
This paper presents a case study proposing a Planetary Health Impact Assessment (PHIA) framework for RF-EMF exposure from mobile telecommunication technologies using knowledge graphs. Twelve experts co-developed knowledge graphs to visualize potential direct effects on organisms and indirect effects on humans via ecosystem disruption, while an AI/NLP tool was used to extract and visualize literature with required expert validation. The authors highlight substantial evidence gaps on ecological impacts (e.g., pollinators, birds, plants) and emphasize the possibility of indirect health risks mediated through ecosystems.
Dual Evaluation and Spatial Analysis of RF-EMF Exposure in 5G: Theoretical Extrapolations and Direct Measurements
This exposure assessment study evaluated 5G RF-EMF exposure using both theoretical extrapolations and direct measurements in semiurban and urban settings, including a campus case study. Measured and extrapolated exposure levels were reported to be within ICNIRP recommended limits, even under high network data demand. The authors also report a strong correlation between theoretical and instantaneous field exposures, supporting the validity of their dual-method framework.
Instruments and Measurement Techniques to Assess Extremely Low-Frequency Electromagnetic Fields
This paper presents a quantitative framework for selecting extremely low-frequency electromagnetic field (ELF-EMF) measurement instruments. It uses a weighted scoring matrix across six criteria and a logic-based flowchart to guide instrument choice based on operational needs. The framework is demonstrated in an occupational case study and is positioned as supporting transparent, adaptable device selection for occupational safety and public health.
Self-diagnosing electromagnetic hypersensitivity-A case study
No abstract was provided in the source text. The provided overview indicates this is a case study of self-diagnosed electromagnetic hypersensitivity (EHS), describing symptoms attributed by an individual to EMF exposure. The supplied text emphasizes ongoing concern about potential health risks and calls for rigorous scientific inquiry and support for affected individuals.