Intractābilis delivers cutting-edge biomedical imaging solutions that empower healthcare providers to achieve earlier diagnoses, more accurate assessments, and deeper clinical insights. Our capabilities span across radiology, pathology, oncology, and cardiology through explainable, multimodal, and pixel-precise cognitive modelling.
Biomedical Imaging
Biomedical Imaging
Flexible Multimodal Architectures for Diverse Medical Imaging Tasks
Visual question answering in the medical domain requires the ability to recognise and interpret highly detailed features, such as minute lesions or subtle alterations in tissue structures. Enhanced structural recognition and precise visual grounding enable clinicians to better interpret pathological images, leading to more informed diagnoses and treatment planning.
Intractābilis has developed an advanced end-to-end multimodal large language model tailored to the biomedical field, capable of granular-level interpretation. The system supports visual question answering, high-resolution grounding, and diverse prompt formats, including bounding boxes, and free-form regions. By extending the model’s vocabulary and integrating a region projector, the framework accommodates a wider range of input modalities. This system can handle diverse inputs, such as images, text, and free-form region prompts, while generating outputs that include both natural language and segmentation masks.
The framework is designed to prevent task conflicts by maintaining independent, task-specific prior knowledge, while enabling effective coordination between different functions. Its flexible architecture supports multiple medical imaging tasks, offering a versatile solution that enhances both clinical workflows and patient outcomes.
Diffusion Models for Cancer Classification
Cancer manifests in diverse forms, making precise diagnosis particularly difficult in its early stages. Detecting the disease at an early point allows for timely treatment, which can improve patient outcomes and lower mortality rates.
Traditional diagnostic methods often rely on clinical examinations and biopsies. Although these approaches can be effective, they are frequently time-consuming and invasive, which may delay the start of treatment.
Intractābilis has created an advanced cancer detection solution that applies a Diffusion Model to clinical and histopathological images. This technology is designed to improve diagnostic accuracy for both skin cancer and oral cancer, supporting earlier intervention and more effective patient care.
Our biomedical imaging solution portfolio brings together clinically grounded innovation, domain-specific model architectures, and real-world deployment readiness. Each solution is crafted to address existing gaps in clinical diagnostics.
We empower healthcare institutions, research centres, and med-tech providers to deploy advanced imaging cognitive systems that are trustworthy, explainable, and built for clinical impact.
We empower healthcare institutions, research centres, and med-tech providers to deploy advanced imaging cognitive systems that are trustworthy, explainable, and built for clinical impact.
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