Using machine learning algorithms to analyse medical images, detect anomalies accurately, and help in early diagnosis and treatment of diseases.
Using AI to predict patient outcomes and potential complications based on historical data and real-time monitoring and automate appointment scheduling, billing, and other administrative functions, reducing the burden on staff and minimizing human error.
Implementing Natural Language Processing (NLP) to extract relevant information from unstructured clinical notes, enabling more accurate patient records and improving communication between healthcare professionals.
