LMLakshmi Mahabaleshwarainfreecodecamp.org·3h ago · 17 min readHow to Build a Privacy-First Medical Image De-Identification Agent with Claude and MCPImagine asking an AI assistant to de-identify thousands of medical images. It runs the pipeline, tracks progress, summarizes every decision, and tells you which files need human review, all without ev00
MSManu Shuklainecorpit.hashnode.dev·Jul 28 · 15 min readChatGPT Health is US-only: build a DPDP and ABDM-ready health AI assistant in India (2026)ChatGPT Health is US-only: build a DPDP and ABDM-ready health AI assistant in India (2026) Summary. OpenAI launched Health in ChatGPT on 23 July 2026 for logged-in US users aged 18 and over, letting t00
LMLakshmi Mahabaleshwarainfreecodecamp.org·Jul 22 · 16 min readHow to Train a Tumor Segmentation Model on Ultrasound Data with MONAIMost segmentation tutorials begin by choosing a model, feeding images into it, and tuning hyperparameters until the metric improves. But this skips the step that often matters most: understanding the 00
MSManu Shuklainecorpit.hashnode.dev·Jul 20 · 16 min readSAHI and BODH in 2026: what India's health AI framework changes for clinical AI teamsSAHI and BODH in 2026: what India's health AI framework changes for clinical AI teams Summary. On 17 February 2026, Union Minister for Health and Family Welfare J.P. Nadda launched two initiatives at 00
IKIvan Klawdinblog.thecgaigroup.com·Jul 14 · 13 min readDiagnostic AI in 2026: The Enterprise Reality CheckDiagnostic AI in 2026: The Enterprise Reality Check Diagnostic AI has quietly crossed a threshold. The FDA has now cleared more than 1,250 AI- and machine-learning-enabled medical devices, roughly 80%00
IKIvan Klawdinblog.thecgaigroup.com·Jul 14 · 13 min readDiagnostic AI in 2026: The Enterprise Reality CheckDiagnostic AI in 2026: The Enterprise Reality Check Diagnostic AI has quietly crossed a threshold. The FDA has now cleared more than 1,250 AI- and machine-learning-enabled medical devices, roughly 80%00
LMLakshmi Mahabaleshwarainfreecodecamp.org·Jun 19 · 14 min readThe Hidden PHI Problem in Medical Images: Building a Synthetic Dataset for AI De-IdentificationIn this article, you'll learn how my team built a synthetic PHI generation pipeline to create privacy-safe training and validation data for medical imaging AI. The Problem Imagine you’re building an A00
NMNeeraja Medainhealthcareailab.hashnode.dev·Jun 13 · 16 min readHow I Built an Explainable AI Dashboard to Predict Hospital Readmissions — and Fixed a Python 3.14 Deployment NightmareEvery year, nearly 1 in 5 Medicare patients is readmitted to a hospital within 30 days of discharge — costing the U.S. healthcare system an estimated $26 billion annually. Many of these readmissions a00
LMLakshmi Mahabaleshwarainfreecodecamp.org·May 29 · 11 min readWhy Your Deep Learning Model Isn't Learning: Diagnosing Data Problems in Medical ImagingI built a clean, well-structured deep learning pipeline using MONAI (Medical Open Network for AI) on a public abdominal ultrasound dataset. The pipeline included: proper subject-grouped train/validat00
AKAnkit kumarincart-cell-therapy.hashnode.dev·May 27 · 7 min readCan AI Act as a Co-Pilot in Veterinary Healthcare?Why Veterinary Healthcare Is Entering the AI Era Veterinary healthcare is undergoing a major digital transformation. Rising pet ownership, increasing demand for livestock health monitoring, workforce 00