Best of Healthcare — 2025

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    Article
    Avatar of freecodecampfreeCodeCamp·45w

    How to Build a Telehealth App Using Stream Video and Chat SDK in React

    A comprehensive guide to building a telehealth application using Stream's Video and Chat SDKs with React. Covers complete authentication flow including user registration, OTP verification, login/logout, backend setup with Node.js and MongoDB, frontend integration with React Router, and Stream SDK implementation for real-time video calls and messaging. Includes security best practices like JWT tokens, password hashing, and cookie management.

  2. 2
    Article
    Avatar of ergq3auoeReinier·38w

    Build & Deploy Blockchain HealthCare DApp | Solidity Smart Contract + Next.js | Web3 Health DApp

    A comprehensive tutorial covering the development and deployment of a blockchain-based healthcare decentralized application (DApp). The guide demonstrates how to create smart contracts in Solidity for secure patient data management and build a frontend using Next.js, enabling healthcare providers to manage medical records and health services on the blockchain with enhanced security and transparency.

  3. 3
    Article
    Avatar of mozillaMozilla·37w

    Young people are outsmarting period tracking apps

    Young women are adapting their use of period tracking apps in response to privacy concerns following the overturning of Roe v. Wade. While many users deleted apps due to fears of reproductive surveillance and data misuse, others switched to privacy-focused alternatives or developed workarounds like using notes apps or paper diaries. The article explores how cycle tracking apps collect and monetize sensitive health data, the varying privacy standards across different apps, and how marginalized communities are particularly vulnerable to surveillance. Despite privacy risks, many users continue finding these apps valuable for understanding their bodies and managing health conditions.

  4. 4
    Article
    Avatar of deepgramDeepgram·1y

    Introducing Nova-3 Medical: The Future of AI-Powered Medical Transcription

    Nova-3 Medical, the latest from Deepgram, offers best-in-class medical speech-to-text capabilities. The model provides unmatched accuracy in healthcare settings, capturing vital details like medication names and diagnostic terms while filtering out irrelevant noise. It is HIPAA-compliant and supports flexible customization with Keyterm Prompting. Nova-3 Medical outperforms its competitors significantly in terms of Word Error Rate (WER) and Keyterm Error Rate (KER). It integrates seamlessly with existing healthcare infrastructures and is optimized for performance and scale.

  5. 5
    Article
    Avatar of nvidiadevNVIDIA Developer·1y

    AI-Generated Heat Maps Keep Seniors and their Privacy Safe

    By 2030, over one-fifth of Americans will be 65 or older. Butlr, a Silicon Valley startup, developed an AI platform that uses neural networks to interpret temperature data from sensors in elder care facilities. The AI generates real-time infrared images to monitor patients without compromising their privacy. It can detect emergencies, offer behavioral insights, and aid caregivers. Butlr employs NVIDIA GPUs for both data visualization and real-time inference, ensuring comprehensive and cost-effective monitoring with strong privacy safeguards.

  6. 6
    Article
    Avatar of mlnewsMachine Learning News·1y

    RARE (Retrieval-Augmented Reasoning Modeling): A Scalable AI Framework for Domain-Specific Reasoning in Lightweight Language Models

    The RARE (Retrieval-Augmented Reasoning Modeling) framework aims to enhance domain-specific reasoning in lightweight language models by separating knowledge storage from reasoning development. Drawing on Bloom’s Taxonomy, it prioritizes contextual rationale over memory-heavy learning and uses external databases for domain knowledge. Experiments indicate that RARE-trained models outperform larger models like GPT-4 in healthcare-focused tasks, achieving over 20% higher accuracy on some benchmarks. This scalable approach suggests that focusing on reasoning skills and using structured, contextual learning can be more effective than simply increasing model size.

  7. 7
    Article
    Avatar of freecodecampfreeCodeCamp·50w

    How to Build a Medical Chatbot with Flutter and Gemini: A Beginner’s Guide

    A comprehensive beginner's guide to building a medical chatbot using Flutter and Google's Gemini API. The tutorial covers setting up the development environment, obtaining API keys, implementing multimodal input support (text, audio, camera, files), and creating a specialized health-focused AI assistant. The guide includes complete code examples, project structure, and important considerations for security, privacy, and medical compliance when developing healthcare applications.

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