HHarsh Shelke·13h agoHow I Built an LLM-as-a-Judge Eval System for a Medical Voice Agent (First 14 Scores)How I built an LLM-as-a-judge eval system for Aiko, a medical voice agent: ten cases, 14 graded visits and where the judge went wrong.18 min read·aiko-realtime-eval.hashnode.dev12OA
HHarsh Shelke·13h agoAiko Eval System Appendix: The Ten Cases and Every Graded VisitThe ten synthetic cold-consult cases, all 14 graded visits, and the checklist and weights behind the Aiko medical voice agent eval system.20 min read·aiko-realtime-eval.hashnode.dev
MMedAnnotate·8h agoDermatology Image Annotation and Skin Tone Diversity: Building Fairer Skin AIDermatology AI looks simple on paper. Collect photos of skin lesions, label each one with a diagnosis, train a classifier. Yet some of the best-known failures in medical AI have come from this exact s5 min read·medannotate.hashnode.dev
GGanesh Sivakumar·1d agoThis week, medical AI's evidence problem came into focusThree research reports landed in the first week of November, and together they are a short course in how to read medical AI claims. One was an encouraging accuracy study whose own authors urge caution4 min read·ganeshsivakum.hashnode.dev
Ssiva surya·3d agoThe nurse and doctor sent the same message. Only one changed the chart.How we built Lantern, an AI care team on Switch: agents carry the work, doctors decide, and the next nurse accepts.13 min read·sivasuryachandran.hashnode.dev
SSeo Eagle·3d agoUnderstanding Website Terms of Use: Key Legal Takeaways for Digital PublishersLearn how website terms of use agreements protect digital platforms and content creators. Explore insights on user rights, AI liability, and intellectual property.3 min read·daniel012.hashnode.dev
SSeo Eagle·3d agoNavigating Platform Terms: What Hashnode's Terms of Use Mean for Content Creators and B2B BrandsAn in-depth analysis of Hashnode's Terms of Use. Learn key takeaways regarding user content ownership, AI tool liabilities, custom domains, and platform rules for developers and brands.3 min read·daniel012.hashnode.dev
MMedAnnotate·4d agoDICOM Segmentation Quality: What “Good Enough” Labels Look Like for Radiology AIRadiology AI projects often treat segmentation as a pixel problem. Draw the organ, draw the lesion, export the mask, train the model. In practice, most failures that show up late in validation started4 min read·medannotate.hashnode.dev
BBen Barazandeh·4d agoBuilding Healthcare Provider Lists From the Free NPI Registry (and Getting Past Its 1,200-Result Cap)This is a copy of my Dev.to post. Disclosure: I'm Ben, and I built the Apify Actor mentioned later in this post. I charge per result for it. Everything in the tutorial part works with free tools too.6 min read·dedicatedcrest.hashnode.dev
RRaftLabs Team·5d agoInsurance Verification Is Really a Revenue Protection SystemMost dental practices think insurance verification exists to confirm eligibility. Its real purpose is preventing expensive surprises before a patient ever sits in the chair.5 min read·raftlabs-the-current.hashnode.dev
