Role of Artificial Intelligence in Improving the Process of Organ Procurement From Detection to Donation

Organ procurement from patients after brain death faces 2 main challenges: identification of possible donors and interaction with the brain dead donor's family. During this period, the family sees their loved one in a coma-like condition, supported by advanced devices in the intensive care unit and still hoping for recovery, while the life of their loved one has been completely destroyed and only short-term organic survival continues with these devices. After accepting this difficult reality, the family must make a serious decision to donate the patient's organs to unknown patients on wait lists. At this stage, the analytical and conversational capabilities of artificial intelligence can be used as an auxiliary tool alongside organ procurement teams to provide innovative solutions in management of interviews. In our organ procurement unit, we use artificial intelligence as an analytical consultant in case of family refusal. Thus, it is necessary to design and train AI tools based on specialized prompts and based on different consent models (opt-in or opt-out models), as well as that use language in accordance with the laws and cultural requirements of each region. If 2-way interactions continue with such tools, along with recording practical experiences and providing ongoing feedback from organ procurement teams, this technology can continuously learn and improve.