Nephrologists know that treating their patients means addressing not only kidney health, but also including comorbidity issues such as vascular access issues, phosphorous levels, and fluid levels. Now, new artificial intelligence (AI) technologies can actually help health care providers not only manage these issues, but also help reduce the risk of recurrence. AI can assist in the analyzation and interpretation of studies and data collected on a patient in order to look at the body in a more collective way.

All of this data is used to create what is called a “mathematical twin” of the patient, which allows health care providers to look at the physiological make up of their patient and run simulations to see different outcomes of treatment. Ultimately, this could speed up treatment and recovery times by allowing doctors to map out multiple scenarios quickly to find what would work best for the patient before beginning treatment.

AI can also be used to help predict the likelihood of a patient developing conditions in the future, such as chronic kidney disease (CKD), progression to end-stage renal disease (ESRD), or even the likelihood of hospitalization. This information, when analyzed and interpreted by health care providers, can then be applied to patient care and interventions in order to avoid health conditions from developing in the future.

For information on AI and its application by health care providers in improving kidney care, you can read the full article on Healio’s website: