RadThera

RadThera is an automated tumor and healthy tissue segmentation solution that enhances accuracy in cancer treatment using deep learning and medical image processing technologies. The system improves dose distribution by facilitating radiotherapy applications and accurately identifies tumors and surrounding at-risk organs using computed tomography (CT) and magnetic resonance imaging (MRI) data.

  • TÜBİTAK Project

Features and Benefits

RadThera enhances treatment quality by contouring tumors and surrounding structures with various data and informing healthcare professionals about the dose healthy tissues will be exposed to before treatment planning. This innovative system accelerates radiotherapy planning while enhancing treatment effectiveness. By anonymizing data and prioritizing privacy and security, RadThera enhances accuracy in cancer treatment, providing radiotherapists with flexibility and saving time.

Multimodal Data Analysis with Deep Learning and Medical Image Processing

RadThera performs detailed analysis of data obtained from various modalities such as CT and MRI using deep learning and advanced image processing algorithms. This technical approach ensures submillimetric precision in the segmentation of tumors and surrounding tissues, maximizing accuracy and effectiveness in radiotherapy dose planning.

Automatic Tumor and Healthy Tissue Segmentation

RadThera uses deep learning algorithms and image processing techniques to analyze tumors and surrounding tissues quickly and accurately. This feature reduces the risk of errors in manual processes and significantly improves the treatment planning process. The automation feature increases efficiency by saving time in clinical workflows.

Dosage Distribution Optimization

The system, which predicts dose exposure, ensures that the radiation dose is focused on tumor areas and protects surrounding healthy tissues using segmentation data. As a result, the radiotherapy treatment plan is optimized quickly and healthy organs are effectively protected within the plan. In this way, treatment effectiveness is enhanced while minimizing the risk of side effects.

Time Savings and High Efficiency

Through automatic segmentation, manual processes that could take hours are completed in a short time. This feature saves healthcare professionals more time, reducing the treatment planning time per patient and improving clinical workflows. The time-saving system also increases the efficiency of treatment planning.

Dynamic Enhancement for Treatment Plan

The system continuously monitors changes in the treatment process and optimizes treatment plans with necessary adjustments. This ensures the most appropriate treatment conditions at each stage, while the response to treatment is continuously analyzed and evaluated. This process enables better clinical outcomes through patient-specific customization.

Integration with Clinical Systems

The system seamlessly integrates with clinical systems such as radiotherapy treatment planning systems (Treatment Planning System - TPS), enabling easy adaptation to clinical workflows. With the high integration capacity, comprehensive data exchange is enabled across all clinical systems. This accelerates processes and significantly enhances treatment effectiveness.

High Accuracy and Reliability

The use of deep learning algorithms and advanced image processing techniques enhances the accuracy of segmentation. This enables the system to improve clinical outcomes with reliable dose predictions and directly enhance treatment effectiveness.

Comprehensive Personalized Treatment Plans

The system takes individual needs into account based on patient-centric data analysis and creates comprehensive, personalized treatment plans for each patient. This customization contributes to preserving healthy tissues and achieving maximum effectiveness in tumor targeting by ensuring the optimization of dose distribution. Thus, the accuracy of the treatment process is enhanced and clinical outcomes are improved.

Accessible and Rapid Treatment Processes

The system shortens treatment times by optimizing the radiotherapy planning and implementation processes. As a result, radiotherapy services become more accessible to a broader patient population. The acceleration of processes improves clinical workflows, ensures accuracy in treatment planning and enhances patient safety.

Benefits for Patients:

RadThera accelerates the time-consuming and error-prone contouring processes in radiotherapy treatment by automating them, thereby enhancing treatment accuracy. By preserving healthy tissues, the system minimizes side effects, ensuring safety during the treatment process and reducing the risk of treatment-related complications. Additionally, personalized treatment plans based on tumor size, location and patient data provide tailored solutions for each individual, optimizing treatment outcomes.

Benefits for Health Professionals:

RadThera automates manual segmentation processes, reducing the workload of healthcare professionals and saving time. The system improves accuracy in treatment planning by addressing challenges in dose distribution prediction and supports reliable decision-making. Its user-friendly interface simplifies the planning steps, helping healthcare professionals complete the process quickly and and accurately.

Benefits for Healthcare Systems, Providers and Authorities:

RadThera enhances the effectiveness of radiotherapy processes, allowing healthcare systems to use their resources more efficiently. Hospitals and oncology clinics increase patient capacity by performing more precise and faster treatment planning with the help of the system. This innovative solution makes healthcare more accessible, accelerates digital transformation processes and strengthens the infrastructure of data-driven decision support systems.