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BIOENGINEER.ORG
A newly published study shows an AI model that uses only routine mammogram images coupled with a woman's age can predict major cardiovascular disease risk with accuracy comparable to current clinical risk-assessment tools. This could help in earlier identification of risk in screening settings, possibly integrating into existing mammography services. Strategic Insight
AI may augment traditional health screening tools, enabling earlier detection of cardiovascular risk via existing imaging resources. |
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arXiv
Researchers have built a dashboard-style AI tool using Python/Streamlit that allows scenario simulation (insulation, lighting, etc.), data ingestion, anomaly detection and baseline modelling for NZ residential homes. Domain experts evaluated usability highly; it is intended to help homeowners make retrofit decisions, align with regulatory and subsidy frameworks. Future work includes adding carbon metrics, tariff modelling, and national data integration. Strategic Insight
Local research is producing tools that bridge policy/standards and household decision-making in energy and housing. |
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arXiv
A recent arXiv study of over 30,000 SEC-filed 10-K reports reveals that while more companies now mention AI-related risk (rising from ~4% in 2020 to ~43% in 2024), many disclosures are generic, lack detail on mitigation, and omit clear accountability. Legal, competitive, and societal risks are frequently mentioned; technical and misuse risks less so. Strategic Insight
As AI becomes core to strategy, transparency about risk exposure and mitigation is lagging. |