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Advances in technology, namely artificial intelligence (AI), are revolutionizing the way that we approach medical treatment. AI and Big Data have been powerful tools in helping with medical diagnosis, and when paired with biological delivery systems, they provide a new way of treating diseases that have been deemed incurable by modern science. These include cancer, mental illnesses, and rare genetic illnesses. These combined innovation efforts open up a world of possibilities to cure these kinds of diseases and, at the same time, help people with disabilities live better lives. As we progress into the next decade, here are a couple of ways that AI is changing medical treatment.


Cancer treatment has been a significant focus of medical research for years, and there have been different attempts to address the disease’s many variations. Most recently, AI and gene-editing tools such as CRISPR/Cas9 have helped to provide researchers with a way to convert cancer cells into non-cancerous cells by deleting genes and essentially re-engineering the cells. So far, this procedure has proven useful in certain types of blood cancers, where cancer cells can spread rapidly. This procedure is being carried out on patients in clinical trials, and though the results are pending, there is hope that this form of treatment may lead the way to a cure. 

Mental Illness

Artificial intelligence has helped make advances in mental health treatment in the areas of therapy and diagnosis. AI is being used in therapy apps and robots to help patients manage their mental health outside of a therapist’s hours while increasing access to mental health services. By increasing access, improved mental health services further help by reducing the stigma out of mental health issues and narrowing the care gap for many members of the general population. AI’s capacity to process vast quantities of data pairs well with big data to help in the process of diagnosis. Therapy systems like the Ieso Digital Health will provide evidence and forecast a probability of diagnosis for the therapist so that the final diagnosis will be evidence-based. While in some ways AI has paved the way for virtual and digital providers, more often it serves as a tool for therapists to quantify their treatment plans in addition to retaining the qualitative aspect of their treatment.