The healthcare industry faces significant challenges in medical imaging, driven by increasing patient volumes, a global shortage of skilled radiologists, and the risk of diagnostic errors. With the rising demand for imaging services like X-rays, CT scans, and MRIs, radiologists are under immense pressure to manage growing workloads, often leading to delays in diagnosis and treatment. Additionally, human factors such as fatigue and cognitive overload contribute to diagnostic inaccuracies, directly impacting patient outcomes. These challenges highlight the urgent need for innovative solutions to improve accuracy, streamline workflows, and ensure timely and effective patient care.

Aimpact has developed highly accurate AI models for analyzing X-rays to detect conditions such as pneumonia, tuberculosis, and lung cancer. We are continuously investing in enhancing these models to expand their diagnostic capabilities. It is our strong belief that these advancements will be valuable tools for radiologists, significantly improving diagnostic efficiency and accuracy.