AI in health apps: a revolution in medicine - #BHHMembersInitiatives
The healthcare sector has undergone a revolutionary development in recent years. Advances in technology and medical research have led to the development of numerous healthcare apps that enable better diagnosis and treatment of diseases. Among the most innovative technological advances in the healthcare sector is Artificial Intelligence (AI), as BHH member Doonamis, specialists in the development of quality Apps and Web, states.
The rise of AI and health applications Health apps have been around for a long time, but with improvements in mobile technology, more and more developers are now focused on creating health apps that can improve health outcomes. Reports from Allied Market Research show that the size of the global digital health market will reach $509.2 billion by 2025, with an annual growth rate of 18.6%. How AI improves health outcomes in healthcare applications
- Personalisation of treatment plans: With AI-based healthcare applications, doctors can more quickly access large amounts of data, identify the best treatment options for different diseases and create a personalized treatment plan for each patient.
- Diagnosis and treatment of chronic diseases: These applications can analyze large amounts of health data and detect any abnormalities in a patient's health status. With greater diagnostic accuracy, doctors can offer more effective treatment options tailored to the patient's specific needs.
- Early detection of disease: AI-enabled health applications can monitor patient health data, provide early warning signs and intervene before disease worsens.
- Reduce diagnostic errors: AI-enabled healthcare applications are designed with specific algorithms to reduce diagnostic errors. These algorithms use electronic health records (EHRs) to analyze a patient's medical history and recommend treatment options.
Learn more information about Doonamis and this article HERE.