What is AI Agents in Medicine
AI agent are the software systems that use AI to complete tasks on behalf of actual persons. They can make decision, learn and adapt. AI agent can process multimodal information like text, video. Also, agent can coordinate with other agents and perform complex tasks.
In healthcare industry, the AI agents are designed to handle and perform specific medical takes independently, these systems are trained using large medical data sets to perform complex scenarios without human interventions. These AI agents are used to interact between patients and healthcare providers using voice, text and video, to help administrative and clinic workflows and some of the AI agents are specifically trained to perform critical treatments.
What are the benefits?
- Support for healthcare providers: AI agents assist in decision making to avoid conflict, reduce the administrative burnouts and make the entire workflow more effective.
- Cost reduction: Administrative can lower their expenses by automating their billing, payment processes and payer reimbursement processes.
- Improved diagnostics: Ai agent can provide more accurate diagnostic by helping summarizing patient medical history, medical research and complete analysis of X rays, scans and MRIs.
- Real-time monitoring: AI agents can monitor and track patients health by connecting to remote tools such as smartwatches and notify the doctors when someone need his intervention to avoid critical health issues.
- Increased accessibility: Now patients can query an agent about a symptom and schedule an appointment with a relevant doctor in real time.
AI and Architecture being used
The most common AI tool that so far used are GenAI based assistant used to help improve the accuracy of the documentation. On the other hand the technology behind AI agent systems is usually a type of artificial neural network always known as CNN. CNN is designed to process visual data and learning pattern such as shapes and textures in medical data. Also, Large language models serve as the foundation of building AI agents. Machine learning used to discover hidden patterns and analyze the patient data, lab results. Also, the Deep learning act like human brain and it commonly used medical images to discover early stage of cancers
About the architecture, it works in layers, the first layer detect basic pattern like edges and colors, in the meantime deeper layer identify complex features like cancers. Also use tools such as Apache NiFi to process various type of data and use databases such as MySQL and MongoDB to store data.
