Personalized Medicine with Artificial Intelligence: A Mini Review of Current Approaches and Future Directions

Abstract

Artificial intelligence (AI) has made a remarkable impact in almost all fields and healthcare is a worth mentioning one in this context. The adaptation of AI in healthcare has not only added a new direction to healthcare but has also ignited new hope for patients. AI models are being smartly used for various aspects of healthcare that include, disease detection, diagnosis, analysing medical images, deciding effective treatment protocols, predicting possible response of patient to a specific treatment, predict pattern of disease progression and to decide effective medicine that may work for an individual depending on his personal genetic makeup and physiological conditions. Thus, AI in healthcare, especially in the field of personalized medicine has brought a revolution. Using AI and Machine Learning (ML) models, it is now possible to design a specific treatment strategy and provide specific medical aid to an individual patient depending on the unique features like genetic makeup, medical histories, lifestyle factors, allergic tendencies etc. This personalized medicine is way better and effective and compared to the conventional hit and trial treatments. Adding AI to this personalized medicinal approach has added to its effectiveness and has made it cost-effective, advanced and quick. The remaining fear and uncertainty in using AI in medical decision making etc. including personalized medicine due to unclear working pattern of the AI models has also been addressed by explainable AI. Explainable AI powered models now not only help in making accurate decisions in healthcare but also gives an explanation for its decision. Thus, working of AI models are now understandable, making them more reliable, dependable and user friendly. This mini review article briefs the various aspects of AI-powered personalized medicine.

Ähnliche Arbeiten