Artificial intelligence (AI) is revolutionizing healthcare by offering new insights, automating processes, and assisting in decision-making. However, for AI to be fully trusted in healthcare, it must be both transparent and secure. One way to achieve this is through decentralized AI.
Decentralized AI refers to the distribution of AI processing and data storage across multiple locations rather than relying on a single, centralized system. This approach ensures that data is not only secure but also transparent, as it allows for greater control over who accesses and uses the data.
In traditional centralized AI systems, all data must be aggregated into one location, raising concerns about privacy and security. Decentralized AI eliminates these concerns by allowing data to remain distributed across multiple sources while still enabling AI to process and learn from it.
At Acoer, we use decentralized AI in our healthcare solutions to enhance both security and trust. By combining AI with blockchain technology, we ensure that healthcare data remains tamper-proof and transparent, enabling healthcare providers to make informed decisions based on reliable, verifiable data.