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Praeventio: Revolutionising medical diagnostics with Artificial Intelligence

Praeventio is an innovative medical diagnostic application that uses Artificial Intelligence to optimise the healthcare process.

Using convolutional neural networks (CNN), it detects diseases such as pneumonia and brain tumours from medical images with high accuracy. In addition, it offers symptom-based diagnosis through an interactive interface, improving the efficiency and accessibility of the healthcare system.

Carried out by Camilo González

Qualification Bachelor of Engineering in Software Development

Technologies Artificial Intelligence (AI) | Convolutional Neural Networks (CNNs) | ResNet-50 Model

⭐Best Capstone Award 2024

What is the motivation?

In Spain, congestion in the healthcare system affects the quality and speed of medical care. Praeventio was created with the aim of optimising resources, improving the efficiency of the healthcare system and guaranteeing equitable and high quality access to medical services. To achieve this, it integrates Artificial Intelligence into the diagnostic process, providing continuous and efficient care.

Program aims

  • Providing continuous and efficient medical care.
  • Decongest health services, streamlining patient care.
  • Reduce bureaucracy in the process of diagnosis and medical care.
  • Improve the quality of care through rapid and accurate diagnosis.

Development

In the development of Praeventio, advanced Artificial Intelligence techniques were used to create an efficient and accurate medical diagnostic system.

  • Image recognitionConvolutional neural networks (CNNs) were implemented to analyse medical images and detect diseases such as pneumonia and brain tumours. These networks were trained using large medical datasets and underwent a rigorous validation process to ensure their accuracy and reliability. The model was continuously tuned to improve its diagnostic capability, achieving very high levels of accuracy.
  • DICOM image processingThe development of a specialised web sub-application was required. This tool allows to manage and visualise medical images efficiently, adding extensions and generating graphics that group relevant visual data. This facilitates the analysis and interpretation of results, providing healthcare professionals with a more complete and organised view of medical information.
  • Diagnosis by symptomsThe app's AI algorithms generate recommendations on possible diseases and necessary medical tests. This early medical guidance capability helps patients better understand their symptoms and make informed healthcare decisions.

Results

Praeventio has demonstrated high accuracy in medical diagnostics. In the detection of pneumonia, the model achieved a 99,7% accuracywhile in brain tumours, it achieved a 98,4% precision. For skin diseases, the system showed a reliability of the 72%The area where continuous improvements are being implemented.

These results were validated in collaboration with healthcare professionals, who assessed the accuracy of the diagnoses and provided valuable feedback to optimise the model. Through this collaboration, adjustments were made that further improved the effectiveness of the system.

Conclusions

Praeventio automates the medical diagnostic process using Artificial Intelligence, offering a reliable tool that predicts pathologies from images and symptoms. This not only minimises the risk of human error, but also allows for efficient prioritisation of consultations and treatments. By providing an accurate preliminary diagnosis, patients get reliable answers about their health without the need for an initial assessment by a professional, optimising the workflow in hospitals and medical centres.

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