Markus Brinsa

Ottehr 1.29 is available. Another large release. A few new features in no particular order: Practice-configurable Quick Picks and AI suggestions for procedures. A Quick Pick can document an entire procedure with one click based on the most common procedures for a practice. The AI suggestions ensure the procedure has been documented to the practices standards, for example, requiring closure type and number of staples for a laceration repair. Direct integration with physical credit card readers so charge and result are initiated from the EHR but patient taps or swipes their card on the device. Rapid add for more quickly recording vitals. Incremental paperwork "harvesting." As a patient completes portions of their pre-visit paperwork, it immediately displays within the visit details so staff can see how well patient is proceeding to finish the paperwork and step in as needed or begin work for patient's visit in advance of completion of paperwork.

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What happens when modifying an AI model makes you its legal provider? AI & Partners releases "Providers of General-Purpose AI Models: A Breakdown"—a practical guide to navigating one of the EU AI Act's most consequential provisions. As the AI Act moves into enforcement, General-Purpose AI (GPAI) models sit at the center of Europe's new governance framework. This report clarifies who qualifies as a GPAI provider, when systemic risk is triggered, and what obligations follow—from foundation models to open-source releases and downstream fine-tuning. What's Inside: ✅ Clear definitions of GPAI models and provider status ✅ Systemic risk thresholds and compute-based classification ✅ Open-source exemptions and their limits — Practical guidance on documentation, incident reporting, and cybersecurity ✅ Enforcement mechanisms and transitional rules Key Takeaways ✅ GPAI obligations apply whether models are free, via API, or open weights ✅ Compute thresholds are proxies, not safe harbors ✅ Capability matters — Downstream modification can shift legal responsibility to developers and deployers ✅ Early governance is now strategic, not optional This report equips developers, open-source communities, cloud providers, and policymakers to navigate compliance while strengthening innovation and market confidence. How should GPAI providers be regulated? Leave a comment below. To stay current with the latest trends in #Technology and #Innovation, Subscribe to 👉 #CXOSpiceNewsletter here https://lnkd.in/gy2RJ9xg or 👉 #CXOSpiceYouTube here https://lnkd.in/gnMc-Vpj

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𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗛𝗲𝗮𝗹𝘁𝗵 𝗙𝘂𝗻𝗱𝗶𝗻𝗴 4DMedical Raises $100M+ to Accelerate U.S. Rollout of Software-Based Lung Imaging AnswersNow Raises $40M Series B to Scale AI-Enabled, BCBA-Led Virtual Autism Therapy Renovus Capital Partners sold portfolio company Pillr Health , a software provider that helps pharmacies run more efficiently, to Water Street Healthcare Partners San Francisco-based Mendra , a biotech startup using AI to develop treatments for rare diseases, raised a $82 million Series A led by OrbiMed , 8VC and 5AM Ventures Zarminali Pediatrics secures $110M to solve America’s child health crisis. New York-based Tandem , a startup developing AI for medical prescriptions, raised $100 million in new funding from Accel at a $1 billion valuation New York-based Barnwell Bio , an animal health intelligence startup, raised $6 million in seed funding led by Twelve Below

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#MedPerf now has a WebUI enabling investigators to run benchmarks in the real-world with data privacy considerations. Big thanks for Evan Calabrese from Duke Department of Radiology for leading the largest federated AI study in glioblastoma for post-treatment assessment through FeTS initiative (Spyridon Bakas) and the Response Assessment in Neuro Oncology (https://rano.group) that help the team build the WebUI. Kudos to Mohammad Kassem for developing the WebUI with all the cool features to monitor and deploy evaluation of medical AI models in the real world. You can test #MedPerf on Github codespaces: https://lnkd.in/e4a8RYvC More information about the study here: https://lnkd.in/eQyii7Eg #evaluation #benchmarking #medical #federated

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