果冻传媒

Our mission is to improve post-cardiac arrest patient prognosis by using machine learning to analyze EEG data to provide predictions of consciousness recovery. By automating this process, we aim to support medical professionals in making informed decisions, optimizing hospital resources, and ultimately improving patient care.

After cardiac arrest, most of resuscitated patients remain unconscious, creating uncertainty for medical teams and families. Determining whether a patient will regain consciousness is complex, requiring extensive EEG analysis by specialists. This process is time-consuming, subjective, and prone to human error, adding strain to an already overburdened healthcare system.

We are using deep learning models to automate EEG interpretation, offering a fast, reliable, and objective assessment of a patient鈥檚 likelihood of regaining consciousness. By integrating this technology into existing medical workflows, we empower healthcare providers with real-time insights. Our model is intended to be an additional tool to assist doctors in making informed decisions.