--- title: "#healthcare articles | Hashnode" description: "Explore 3,652 articles tagged #healthcare on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/healthcare" --- Tag # #healthcare 3,652 posts · 1,957 followers [Harsh Shelke](https://hashnode.com/@harsh180502) · [13h ago](https://hashnode.com/posts/llm-judge-eval-system-medical-voice-agent/6af3ba8a78ba7b79704a7601) ### [How I Built an LLM-as-a-Judge Eval System for a Medical Voice Agent (First 14 Scores)](https://aiko-realtime-eval.hashnode.dev/llm-judge-eval-system-medical-voice-agent?utm_source=hashnode&utm_medium=feed) 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.dev](https://aiko-realtime-eval.hashnode.dev/llm-judge-eval-system-medical-voice-agent?utm_source=hashnode&utm_medium=feed) [2](https://hashnode.com/posts/llm-judge-eval-system-medical-voice-agent/6af3ba8a78ba7b79704a7601) [Harsh Shelke](https://hashnode.com/@harsh180502) · [13h ago](https://hashnode.com/posts/aiko-eval-system-appendix-ten-cases/6af3ba73b21c13587ddc1490) ### [Aiko Eval System Appendix: The Ten Cases and Every Graded Visit](https://aiko-realtime-eval.hashnode.dev/aiko-eval-system-appendix-ten-cases?utm_source=hashnode&utm_medium=feed) The 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](https://aiko-realtime-eval.hashnode.dev/aiko-eval-system-appendix-ten-cases?utm_source=hashnode&utm_medium=feed) [MedAnnotate](https://hashnode.com/@medannotate) · [8h ago](https://hashnode.com/posts/dermatology-image-annotation-and-skin-tone-diversity-building-fairer-skin-ai/6af3fb9e6fbf32cc747e2e70) ### [Dermatology Image Annotation and Skin Tone Diversity: Building Fairer Skin AI](https://medannotate.hashnode.dev/dermatology-image-annotation-and-skin-tone-diversity-building-fairer-skin-ai?utm_source=hashnode&utm_medium=feed) Dermatology 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 s 5 min read · [medannotate.hashnode.dev](https://medannotate.hashnode.dev/dermatology-image-annotation-and-skin-tone-diversity-building-fairer-skin-ai?utm_source=hashnode&utm_medium=feed) [Ganesh Sivakumar](https://hashnode.com/@gsivakum) · [1d ago](https://hashnode.com/posts/this-week-medical-ai-s-evidence-problem-came-into-focus/6af1e2a40bc641680098df8c) ### [This week, medical AI's evidence problem came into focus](https://ganeshsivakum.hashnode.dev/this-week-medical-ai-s-evidence-problem-came-into-focus?utm_source=hashnode&utm_medium=feed) Three 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 caution 4 min read · [ganeshsivakum.hashnode.dev](https://ganeshsivakum.hashnode.dev/this-week-medical-ai-s-evidence-problem-came-into-focus?utm_source=hashnode&utm_medium=feed) [siva surya](https://hashnode.com/@sivasuryachandran) · [3d ago](https://hashnode.com/posts/the-nurse-was-right-we-refused-her-anyway/6aef505b0038003cd6ac89bd) ### [The nurse and doctor sent the same message. Only one changed the chart.](https://sivasuryachandran.hashnode.dev/the-nurse-was-right-we-refused-her-anyway?utm_source=hashnode&utm_medium=feed) 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](https://sivasuryachandran.hashnode.dev/the-nurse-was-right-we-refused-her-anyway?utm_source=hashnode&utm_medium=feed) [Seo Eagle](https://hashnode.com/@daniel0121) · [3d ago](https://hashnode.com/posts/website-terms-of-use-key-takeaways/6aef4ded58dc29769ea7872f) ### [Understanding Website Terms of Use: Key Legal Takeaways for Digital Publishers](https://daniel012.hashnode.dev/website-terms-of-use-key-takeaways?utm_source=hashnode&utm_medium=feed) Learn 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](https://daniel012.hashnode.dev/website-terms-of-use-key-takeaways?utm_source=hashnode&utm_medium=feed) [Seo Eagle](https://hashnode.com/@daniel0121) · [3d ago](https://hashnode.com/posts/hashnode-terms-of-use-analysis/6aef4c462085a2143a3a64c7) ### [Navigating Platform Terms: What Hashnode's Terms of Use Mean for Content Creators and B2B Brands](https://daniel012.hashnode.dev/hashnode-terms-of-use-analysis?utm_source=hashnode&utm_medium=feed) An 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](https://daniel012.hashnode.dev/hashnode-terms-of-use-analysis?utm_source=hashnode&utm_medium=feed) [MedAnnotate](https://hashnode.com/@medannotate) · [4d ago](https://hashnode.com/posts/dicom-segmentation-quality-radiology-ai/6aeeb2c24da4027f28467fea) ### [DICOM Segmentation Quality: What “Good Enough” Labels Look Like for Radiology AI](https://medannotate.hashnode.dev/dicom-segmentation-quality-radiology-ai?utm_source=hashnode&utm_medium=feed) Radiology 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 started 4 min read · [medannotate.hashnode.dev](https://medannotate.hashnode.dev/dicom-segmentation-quality-radiology-ai?utm_source=hashnode&utm_medium=feed) [Ben Barazandeh](https://hashnode.com/@dedicatedcrest) · [4d ago](https://hashnode.com/posts/building-healthcare-provider-lists-from-the-free-npi-registry-and-getting-past-its-1-200-result-cap/6aee2d9e2f07e5accb6bc949) ### [Building Healthcare Provider Lists From the Free NPI Registry (and Getting Past Its 1,200-Result Cap)](https://dedicatedcrest.hashnode.dev/building-healthcare-provider-lists-from-the-free-npi-registry-and-getting-past-its-1-200-result-cap?utm_source=hashnode&utm_medium=feed) 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](https://dedicatedcrest.hashnode.dev/building-healthcare-provider-lists-from-the-free-npi-registry-and-getting-past-its-1-200-result-cap?utm_source=hashnode&utm_medium=feed) [RaftLabs Team](https://hashnode.com/@raftlabs-dev-agency) · [5d ago](https://hashnode.com/posts/insurance-verification-is-really-a-revenue-protection-system/6aeda16e23ceb8e2eaab2d67) ### [Insurance Verification Is Really a Revenue Protection System](https://raftlabs-the-current.hashnode.dev/insurance-verification-is-really-a-revenue-protection-system?utm_source=hashnode&utm_medium=feed) Most 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](https://raftlabs-the-current.hashnode.dev/insurance-verification-is-really-a-revenue-protection-system?utm_source=hashnode&utm_medium=feed)