Individualizing its personality from the long-established technologies with an ability to gather and process the data to give relevant outcomes, Artificial Intelligence in health care has undeniably simplified the lives of patients, and healthcare professionals.

Machine Learning algorithms have improved the diagnosis of various chronic diseases with early detection, predictive analysis about the patient's future health with better treatment recommendations, and minimizing errors by discovering the hidden patterns and correlation in the complex medical data. Apart from automating tasks and analyzing big patient data sets at a lower cost, the AI applications in medical devices enable doctors and other caregivers to monitor and detect potentially life-threatening episodes at earlier stages. The Machine Learning algorithms have also accelerated drug research and discovery, ultimately making more novel drugs available to patients. With the potential to radically transform the healthcare practice, the integration of AI and robotics technology has positively impacted the achievement of independent mobility improving the quality of life of people with disabilities hence reducing the need for hospitalization and care homes.

However, will the progress and the adoption of AI in health care be hindered by sorting, consolidating, and digitizing medical records with stringent privacy and confidentiality laws?

- MADHAVI DESAI