Case Study #10 PulmoDeep

AI powered tool for diagnosis of lung anomalies

Lung diseases, including chronic obstructive pulmonary disease (COPD), lung cancer, pulmonary fibrosis, and pneumonia, are leading causes of morbidity and mortality worldwide. Lung cancer alone is the leading cause of cancer-related deaths, with over 2 million new cases diagnosed annually and a 5-year survival rate of just 18%.

Misdiagnosis rates for lung diseases remain alarmingly high, with 20-30% of cases being incorrectly identified, which contributes to delayed treatment, disease progression, and a significant decline in patient survival. Furthermore, COPD afects over 200 million people globally, and it is often underdiagnosed or misdiagnosed,

leading to unnecessary treatments and worsened outcomes. Current diagnostic tools, such as chest X-rays and CT scans, rely heavily on human interpretation, which can be subjective and error-prone, especially in early stages.

There is an urgent need for more precise, eficient, and scalable diagnostic tools to reduce misdiagnosis, enable earlier detection, and ensure timely, accurate treatment of lung diseases.

PulmoDeep is an advanced AI-powered tool that addresses the challenges of accurately diagnosing lung diseases. By utilizing cutting- edge technology and deep learning, PulmoDeep analyzes imaging data such as chest X-rays and CT scans to detect lung anomalies like COPD, lung cancer, fibrosis, and pneumonia. The system integrates expert knowledge from clinical scientists, lung

specialists, and data engineers to provide precise, reliable results. PulmoDeep enables earlier detection, prioritizes high-risk cases, and ofers treatment recommendations in real-time. This tool is designed to support healthcare providers by reducing diagnostic errors and ensuring faster, more accurate identification of lung diseases, helping prevent disease progression and enhancing patient care.

PulmoDeep is an advanced AI-powered tool that addresses the challenges of accurately diagnosing lung diseases. By utilizing cutting- edge technology and deep learning, PulmoDeep analyzes imaging data such as chest X-rays and CT scans to detect lung anomalies like COPD, lung cancer, fibrosis, and pneumonia. The system integrates expert knowledge from clinical scientists, lung

specialists, and data engineers to provide precise, reliable results. PulmoDeep enables earlier detection, prioritizes high-risk cases, and ofers treatment recommendations in real-time. This tool is designed to support healthcare providers by reducing diagnostic errors and ensuring faster, more accurate identification of lung diseases, helping prevent disease progression and enhancing patient care.