Diagnosis
Artificial Intelligence helps in medical decisions, increase speed and accuracy spotting anomalies in x-rays, scans and imaging as well as audio signals (e.g. smart stethoscopes).
It can be used to triage critical findings in medical imaging, flag acute abnormalities, diagnose cancer as well as assist in prioritizing life threatening cases. It has also found purpose in diagnosing cardiac arrhythmias, predict stroke outcomes, and help with the management of chronic diseases.
Treatment
Physicians now have access to AI to help improve patient treatment. Treatment plans, follow-up checks and other actions can now be tailored more effectively as AI analyze response to medicine and provide clinical decision support systems and early warning systems.
Precision Medicine through Machine Learning
Using supervised machine learning it is now possible to predict treatment protocols that are likely to succeed on a patient based on various patient attributes and the treatment context. Treatment can then be tailored to the genetic and clinical qualities of the patient which is likely to improve effectivity of treatment.
Predicting Future Disease based on Lifestyle Factors, Attributes and Medical Histories
One of AI’s main benefit is to help people stay healthy and encourage to adopt a healthier behavior and lifestyle. This also leads to AI-based systems that help predict illness and diseases caused by an individual’s lifestyle, genetic attributes, medical history and other environmental factors. Allowing medical practitioners to better manage and prescribe preventive measures.