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Khabre desk
Recent reporting, analysis and explainers from the medical AI desk.
health
Google says developers and health organisations are adapting its open-weight MedGemma models for screening, triage and public-health tools. Projects described include pilots at AIIMS Delhi and screening initiatives in India, Zambia and Indonesia.
health
A Nature Medicine study developed EAGLE, an AI model that identifies esophageal cancer and precancerous lesions on noncontrast chest CT scans. It was validated across 80,612 patients in 12 centres and three countries, including routine and low-dose CT settings.
health
A medRxiv preprint reports that Ataraxis Breast CTX, a multimodal AI model using clinical data and H&E images, separated five-year disease-free survival in a selected group of 556 clinically high-risk, node-positive HR+/HER2- early breast cancer patients. An exploratory analysis found that everolimus benefit varied by the model’s score.
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A Nature Medicine study describes a fully on-premise clinical AI agent that combines diagnostic reasoning with repeated-run consistency checks. On a seven-disease benchmark, the system retained 98.9% accuracy among cases selected for autonomous handling at a defined consistency threshold, while routing the rest for review.
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A medRxiv preprint evaluates BanffNET indices that summarise kidney-transplant biopsy injury and distinguish several Banff pathology categories. The model was assessed across 6,407 biopsies and a multi-reader study involving 67 pathologists.