MediSearch

MediSearch combines a medical information search engine with an AI conversation interface. When someone asks a health question, the system searches a large collection of medical articles and research, selects information relevant to the query, and uses AI to summarize it into an answer. The service presents sources and citations so readers can inspect the underlying material rather than accepting an unsupported response. The website describes more than 40 million peer-reviewed sources, while an explanatory page describes a database of more than 30 million scientific articles; the available corpus and counts may change as indexing grows. Users can narrow evidence by specialty, publication date, study type, source, or trust tier. MediSearch says new medical publications are indexed daily and can incorporate full-text clinical guidelines, including major guidance from organizations such as ACC/AHA and WHO. It supports questions in more than 20 languages and can respond in the language used. The consumer product includes free access and paid Pro or Max offerings, while the developer product exposes medical search through a streaming Server-Sent Events API. API features include citations, article events, follow-up questions, search filters, asynchronous clients, multilingual queries, a Pro model, and custom system prompts. A separate fact-checker page is designed to check medical claims in TikTok and YouTube videos. MediSearch’s terms emphasize that answers are informational, can contain mistakes, and should not replace diagnosis, treatment, or professional medical advice. The workflow is deliberately centered on the user’s own goals: people can start with a simple request, inspect the response, and use the product’s organization or study tools to turn the result into something reusable. Because AI systems can misunderstand context, users should check the original source material and treat generated output as assistance rather than an authority. The workflow is deliberately centered on the user’s own goals: people can start with a simple request, inspect the response, and use the product’s organization or study tools to turn the result into something reusable. Because AI systems can misunderstand context, users should check the original source material and treat generated output as assistance rather than an authority.