Abstract: We present a system and method for analysis of image and data of ultrasound and ultrasound with contrast medium of human pancreatic tissues to automatically diagnose acute pancreatitis of the pancreas and identify pancreatic non-viable tissues at an early stage. The system consists of a diagnostic ultrasound system with specialized software for contrast studies (ultrasound) for in vivo ultrasound examinations of human internal organs, recording reflected ultrasound signals from pancreatic tissues (without contrast material and when contrast material is injected) and an image and data processing algorithm with artificial intelligence (neural network) elements providing a diagnostic estimate of a recommendatory nature.

Abstract: This invention describes a method for early diagnostics of severe pancreatitis using cell membrane damage detection mechanisms. The method involves a non-invasive testing of human urine or other body fluids samples of patients that are suspected to be affected by acute pancreatitis. The invention is based on heat shock protein HSP-70, 90, 60, and 27 role of action in disease progression.