AI applications designed to support early detection and clearer medical imaging analysis for lung and brain conditions
Advancements in artificial intelligence and medical imaging are changing how health data can be reviewed and understood. In this section, I showcase AI-powered applications that assist with medical imaging analysis and decision support. Using deep learning models, these tools can analyze X-rays, CT scans, and MRI scans to help highlight possible signs related to lung and brain diseases. The focus is on improving speed, consistency, and clarity—so healthcare professionals can review results more efficiently. These projects are designed as support tools and do not replace clinical judgment or professional diagnosis.
An elegant healthcare app that helps people review medical images in a careful, structured way. You upload an image (like an X-ray or scan), confirm a clear safety reminder, and the system produces a scan-friendly report that describes what is visible without claiming a definite diagnosis.
To make the output easier to trust and discuss, it also adds a ranked evidence section: it searches for high-quality medical references (such as guidelines and review articles), scores them for relevance, and shows short snippets with links you can open.
The app is designed for clarity and safety: it highlights uncertainty, avoids treatment instructions, supports patient-friendly explanations, and includes helpful features like a “trust panel,” export options, and optional local history with a retention limit.
Overall, it’s a practical example of using AI responsibly in healthcare—focused on transparency, usability, and supporting conversations with clinicians rather than replacing them.