Sometimes diagnosis can come late due to the wait needed to receive the lab reports, which can lead to major and extensive surgery. Thus, some hospitals have applied the use of XAI to do predictive analysis in which a patient would need an immediate surgery or not before it's too late. These indications and results should be transparent, fair, and understandable by doctors, such that doctors can explain to their patients why they need immediate treatment.

With more people having more than one disease, it is usual to consume more than one drug per one consumption. Although most of the time, this process is not dangerous, it is important to take precautious measures regarding drug-drug interactions. Thus, XAI has been used to evaluate these interactions by using computer simulation. With its explainable characteristics, these interactions and their reasonings can be understandable easily by doctors and patients.

Diseases keep on evolving and more diseases are discovered from time to time. A lot of professionals are considering to repurpose one disease's drug to be used to a new drug. These credibility can be verified and helped by XAI to simulate whether these repurposement can be done or not. It is important to realize that explainability is a big factor in this process, to help the doctors understand what's happening and how effective the drug can be to the new disease.