ITDogtics - Blog

AI in Healthcare: Addressing Data Privacy Concerns - Tech News Recent discussions have brought to light significant controversies surrounding AI projects, particularly in the medical field. One such project, "Medisafe" （藥倍安心）developed by a high school student, has garnered multiple awards, including recognition at the Geneva International Exhibition of Inventions. Medisafe is an AI-powered web application designed to enhance medication safety by cross-referencing medical prescriptions with patient data. It aims to detect potential drug prescription errors by analyzing a patient's allergy history, long-term medication records, and clinical conditions like liver and kidney function, automatically verifying doctors' prescriptions. However, the project has sparked debate regarding potential patient data leakage. Is this concern valid? And if so, what measures can developers take to ensure privacy? This blog post will explore: The validity of data leakage concerns regardi...

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Migrating Flutter Web Google AI to Firebase: Beyond the Docs Google AI is evolving at an incredible pace. In less than a year, I've seen Gemini progress from version 1.0 to 2.5. As you might know, ITDOGTICS has developed several applications using Gemini, and this rapid evolution brings maintenance challenges, particularly with model deprecation. The recent announcement of Gemini 1.5's discontinuation, for instance, has led to the deprecation of some Flutter packages, including the google_generative_ai package I've been using. The next version will leverage Firebase AI . While the syntax transition is relatively straightforward, a significant shift is the move away from user-based API keys to a centralized Firebase approach. This change introduces new security considerations. In this blog post, I'll guide you through the migration process, helping you securely transition your project from the original google_generative_ai package to Firebase AI . This guide is for: F...