Artificial Intelligence facilitates Precise Treatment for the Critically Ill Patients

Recent studies constantly demonstrate that the accuracy of deep learning algorithms in detecting disease from medical images is equivalent to health-care professionals if not over perform doctors.

On the other hand, doctors taking care of the acute patient in the intensive care unit (ICU) facing greater challenges.

Resuscitating a critically ill patient require the ability to evaluate all vital organ functions based on lab data, images, dynamic physiological data from bedside sensors to search for the etiology in a limited time.

Take Covid-19 infection as an example, clinical presentations are affected by the variety of virus, virus load, as well as patients’ age and genetic makeup.

All these variables will modulate the translation of protein (cytokines) that orchestrate the circulatory shock, acute lung, kidney and liver injure and coagulopathy.

To cope with such a tremendous amount of high-speed, diverse, and unclear information, sometimes, it is beyond the human knowledge and ability to make a precise diagnosis and treatment.

A precise and personized treatment requires meticulous calculation of the risk and benefit of each medication and dosage that incorporate the dysfunctional organ information and its interaction with the unique individual makeup.

We desperately need an AI to continuously gather the massive and complex physiologic data to identify the distinct phenotype and unique biorhythm to formulate an optimal treatment plan.

AI definitely will transform our medical practice, from Empirical to Precision Medicine, from population constructed evidenced based medicine to personalized treatments.

Most of all, AI will become an important member of our team in ICU.