AI in medical diagnostics

One area where AI could have a big impact is medical diagnostics. AI can analyze medical data such as photos, genetic tests, disease histories and symptoms to detect patterns and similarities between patients with the same disease or group of diseases. AI can also help identify new biomarkers and predictors of disease. AI can therefore make diagnosis faster and easier, as well as increase its accuracy and reliability.

An example of the use of AI in medical diagnostics is Aier Eye Hospital Group, the largest network of eye hospitals in China, which uses learning systems to diagnose eye diseases and plan treatment. Another example is Proscia, a company founded by scientists from Johns Hopkins University, which uses machine learning algorithms to analyze skin photos and detect melanoma with a 93% rate. effectiveness.

AI in therapy and treatment

Another area where AI can help is therapy and treatment. AI can support doctors in clinical decision-making and treatment planning. AI can suggest the best treatment options for a given patient, taking into account their health status, preferences and availability of medications. AI can also monitor the effectiveness of treatment and warn about possible complications, drug interactions or side effects.

An example of the use of AI in therapy and treatment is Sheba Medical Center, one of the largest Israeli hospitals, which uses medical data analysis and artificial intelligence to personalize heart disease therapy. Another example is Woebot, Wysa or Tess, applications that offer emotional support and stress management using chatbots based on natural language processing models.

AI in research and development of new drugs

Another area where AI could make a difference is the research and development of new drugs. AI can predict the properties and effects of potential therapeutic compounds, simulate their effects on the body and help optimize the clinical process. AI can therefore reduce the time and costs of developing new drugs, as well as increase their effectiveness and safety.

An example of the use of AI in drug research and development is Atomwise, a company that uses deep neural networks to search a database of over 10 billion molecules for potential drug candidates. Another example is Healx, a company that uses AI to discover new therapies for rare diseases.

Benefits and challenges of AI in healthcare

AI has many benefits for healthcare, such as:

However, AI also poses many challenges, such as: