McMarvin’s mission is to provide the healthcare industry the tools they need to make the next leap in patient care.

The demand for AI-based solutions are continuously increasing, outpacing the supply of qualified radiologists and stretching them to produce more output, without compromising patient care. Only by adopting new technologies like Artificial Intelligence and Machine Learning that significantly enhances the capabilities of radiologists/physicians, can this crisis be mitigated.

McMarvin is empowering healthcare with its revolutionary AI services which helps health providers manage the ever-increasing workload without compromising quality.


McMarvin works with millions of imaging and correlated clinical records to build state-of-the-art algorithms that automatically detect medical conditions faster, for numerous findings in parallel.

Over the next few years we expect to explore several untouched areas of automated findings and insights to help radiologists provide more effective, accurate outcomes – faster, without compromising the quality of care.


We’re looking forward to work and Continue our medical imaging research with Governments & Corporate Hospitals All over the World
to translate our machine learning research into tools that benefit clinicians and patients.

1. Brain Tumor Segmentation

To help doctors more effectively analyze and monitor tumors, McMarvin’s AI experts have developed a robust deep learning-based solution that uses 3D MRI and CTs to automatically segment tumors. Radiologists/Physicians can easily go through the segmented tumor’s boundary to understand about the shape, size, and orientation.

Automated segmentation of brain tumors can save time and lives. It provides an accurate reproducible solution for further tumor analysis and monitoring.

2. Breast Cancer Detection

McMarvin has developed an artificial intelligence model that could accurately detect breast cancer in screening mammograms with greater accuracy, fewer false positives, and fewer false negatives than human experts.

Reading X-ray images is a difficult task, even for experts, and can often result in both false positives and false negatives. In turn, these inaccuracies can lead to delays in detection and treatment, unnecessary stress for patients and a higher workload for radiologists who are already in short of supply. AI-based tools can assist the oncologist to save time and save the lives of cancer patients.

3. Respiratory Diseases

With approximately 2 billion procedures per year, chest X-rays are the most common imaging examination tool used in practice, critical for screening, diagnosis, and management of diseases including pneumonia. However, an estimated two-thirds of the global population lacks access to radiology diagnostics.

With automation at the level of experts, we hope that this technology can improve healthcare delivery and increase access to medical imaging expertise in parts of the world where access to skilled radiologists is limited.

McMarvin’s AI-based algorithm can detect respiratory diseases like Pneumonia, Pneumothorax, Coronavirus, TB and other flu-based diseases within minutes.