A study on Forensic Pathology: Determining Cause of Death Through Heart Images

In forensic pathology, identifying the cause of cardiac death rely on gross inspection of specimens and objectively interprethistopathological findings. To fill this void, the proposed work intends to design an Artificial Intelligence system for analyzingheart valve images for different pathological conditions and to aid forensic applications. This system applies deep learningmethods particularly Conventional Neural Networks in distinguishing segments of the histopathology cardiac images andestimating chances of death. This Artificial Intelligence system is integrated with explainable AI and advances that allowsforensic science professionals to comprehend and have faith in the model. Further, to make the tool easily usable in real-lifeforensic scenarios, a web interface is built for easy accessibility by the forensic agents involved and medical professionals inthe course of their work. The overall aim is to minimise the human factors, increase the efficiency of diagnostics, and increasethe speed of the forensic procedures, providing the effective tool for both forensic and clinical uses.