ML is increasingly deployed to extract and analyze patient data for determining patterns for the early diagnosis of diseases such as cancer.
From screening drug compounds to the evaluation of medicine success rate, machine learning is shifting the needle in healthcare.
Machine learning modules use advanced data for analyzing the patient’s history, medical records, and symptoms to deliver efficient personalized treatment to patients.
Virtual assistants help with various administrative tasks such as collecting patient information including demographic, insurance, financing, health history, and analysis of different records.
Machine learning algorithms and modules are used to implement robust security layers to ensure high levels of data privacy in healthcare systems.