AI and standards for healthcare systems: FHIR, imaging, clinical decision support.
Google Research has published GlucoFM, a self-supervised model for continuous glucose monitoring. A dual-stream architecture, 109,066 hours of unlabelled traces, and a comparison in which the smallest model of the set beats the one with 135 million parameters.
Read moreOn 19 August 2026 Merck and Moderna announced that the phase 3 trial of intismeran autogene met its RFS and DMFS endpoints in resected melanoma. How an mRNA vaccine is built on a single patient's tumour, what the algorithm choosing its targets does, and how accurate it is when measured.
Read moreOn 29 July 2026 the FDA granted De Novo authorisation to the first device that quantifies coronary inflammation from CT. It is the latest step in a shift of the cardiology target from stenosis to the vessel wall, backed by plaque analysis software already reimbursed in the United States. What is validated, what is not, and what is still missing.
Read moreOn 18 June 2026 Midjourney unveiled a whole-body ultrasound scanner with reconstruction and segmentation handled by learned models. A technical look at the physics, the pipeline and the validation limits, separating the verifiable specifications from the launch claims.
Read moreA concrete architecture for an on-premise clinical Retrieval-Augmented Generation system anchored to FHIR and DICOM: ingest, retrieval, local biomedical LLM, answers with verifiable citations, and the MDR/AI Act/GDPR constraints read as design choices.
Read moreA medical device with machine learning that changes after certification is, for the regulator, a different device. MDR and the FDA answer with very different tools and timelines.
Read moreAn NVIDIA GB10 workstation with 128 GB of unified memory holds models up to 200B parameters under a desk. For health data the constraint is not capacity but memory bandwidth: 273 GB/s.
Read moreHealthcare demands AI systems that are verifiable, explainable, and compliant with rigorous clinical and regulatory standards.
Read moreA language model in contact with records and reports has to stay inside the perimeter: PII redaction upstream, immutable logging for the EU AI Act, risk classification under MDR. The architectural constraints that follow.
Read moreCDA R2, FHIR and openEHR do not sit on the same plane of a health system: they answer three different questions — archiving, exchange, keeping data over time. The roles, the contact points, and the friction that appears when a standard ends up in the wrong place.
Read moreRegulation (EU) 2025/327 on the European Health Data Space has been in force since 26 March 2025. A technical reading of primary use, secondary use, the Health Data Access Body and the application timeline.
Read moreThe Italian Ministry of Health decree of 7 September 2023 (Official Gazette no. 249 of 24 October 2023) introduces the Sogei-run Gateway and the regional Healthcare Data Ecosystem. Document formats, IHE profiles and the FSE 2.0 feeding model as of September 2024.
Read moreThe International Patient Summary (EN ISO 27269) defines what a patient summary contains; MyHealth@EU how it travels between Member States. Why keep the two layers apart, and why semantic mapping stays the fragile part.
Read moreThe regulatory line between an ESP32 + MQTT node carrying a MAX30102 sensor and a medical device under Regulation (EU) 2017/745. What changes between a telemonitoring demo and something you can put in a patient's hands.
Read morePlacing a deep-learning prediction into the data flow of a Total Laboratory Automation system imposes constraints on protocols, latency and traceability that come before the quality of the model.
Read moreMONAI Label moves the cost of medical annotation from manual drawing to correcting a proposal: a REST server, plugins for 3D Slicer and OHIF, and active learning driven by model uncertainty.
Read moreBioBERT, ClinicalBERT and PubMedBERT differ in corpus, vocabulary and domain. A technical reading of their pre-training choices and the measurable effect on clinical tasks.
Read moreItaly's FSE 2.0 plan, presented to the State-Regions Conference in the briefing of 2 March 2022, shifts the Electronic Health Record from a document-centric CDA R2 model to a data model based on HL7 FHIR and regional Health Data Ecosystems. The technical knots of the transition.
Read moreTechnical notes on the most widely deployed open source healthcare integration engine: the source-transformer-destination pipeline, E4X parsing of HL7 v2 over MLLP, and where the model holds or gives way under load.
Read moreTaking a classifier into clinical production means deciding where data crosses the hospital boundary. Three concrete constraints: FHIR interoperability, data residency, regulatory validation.
Read more
