AI in Healthcare

AI in Healthcare

Healthcare Tech Outlook | Tuesday, May 21, 2019

FREMONT, CA: Machine intelligence or artificial intelligence (AI) has a transformative power that resonates across many industries, but in one—healthcare—its impact is truly life-changing. From clinical research to hospital care, drug development, and insurance, data management by AI applications transform the health sector to reduce expenditure and facilitate patient outcomes.

Management of Medical records:

The most crucial facet of any sector is the compilation and analysis of information. In healthcare, the faster evaluation of medical data, treatment records, and patient status by AI-powered solutions lead to improved remedy techniques and prevention of severe medical outcomes.

Machines collect, format, store, and trace data to provide quick and consistent access to widely used applications increasing patient satisfaction and a well-defined output to the end-user. AI-generated solutions will not only help healthcare workers to do more, but it will also support operational initiatives to satisfy workforce needs and healthcare staffing.   

Reduction of Diagnostic Errors:

The most challenging aspect of the healthcare sector is the inability of the regulators and physicians to attain perfection. Research shows that many deaths and complications arise due to diagnostic errors. AI systems will help reduce these errors substantially by accurately determining specific threats present in a large percentage of cells, tissues, and organs. Artificial Intelligence (AI) systems are developed to empower physicians to provide a higher level of care by assisting them with compliance in every step of the process.

Medical Apps and Virtual Doctors:

The traditional process of diagnosing a sick person has passed long ago. Through the help of Artificial intelligence (AI), online apps providing essential health information and advice to the sick patient can be used in emergencies. AI technology also provides virtual doctors, who analyze data, take notes and reports from a patient’s file, perform external research, and prepare a customized treatment path.

Health Monitoring:

Wearables help track health anomalies within a patient through auto-sensor devices, which send alerts to the user to get health checkups and can also share this information with doctors for additional data on the patients.

AI-assisted Surgery:

Robots can determine data from previous medical records to help a procedure during a surgical operation. AI-assisted surgery is also known as “minimally invasive surgery,” which minimizes risk factors by streamlining a culture of innovation and entrepreneurship. 

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