How Adopting Artificial Intelligence is going to Benefit the Healthcare Industry

By CIOReview | Tuesday, June 4, 2019

The healthcare industry could see some sweeping changes in the coming years. All aspects of the industry are about to experience innovations that could increase efficiency, impact, and outreach of facilities. Artificial Intelligence (AI) is expected to be the engine that drives all of these changes. AI has several advantages that the medical industry can leverage to improve the traditional processes. Analyzing capabilities, trend recognition, diagnosing, imaging, and many other such possibilities are about to make AI popular in the healthcare sector.

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Treatment processes can get benefits from AI. Brain-Computer Interfaces (BCI) which are backed by AI can come to the rescue of patients who suffer from neurological diseases that impair their abilities to move, speak and interact and substantially increase their quality of life. Cancer treatment through immunotherapy is an upcoming and exciting field. The immunotherapy in use right now has not been very successful, but with the help of machine learning algorithms that can generate individual-specific genetic information, immunotherapy can get more targeted.

Diagnostic developments are essential so that diseases can be detected faster. AI enabled diagnosis has improved the efficiency of numerous processes. The next generation of AI-backed radiology tools is poised to replace the need for tissue samples in specific tests like biopsies. This will minimize the invasive procedures during diagnosis and possibility of infections. Digital pathology and AI together are also a very potent tool in diagnosis. AI-driven pathological methods will be much more nuanced and better at capturing and analyzing inconsistencies. Along with the diagnosis, monitoring patients is bound to benefit from AI. Devices with sensors that can monitor patients in real-time throughout the day, and collect actionable insights from patient data, smart wearables which allow accumulation of patient-related data and many other intelligent monitoring technologies backed by AI can increase the effectiveness of monitoring along with making response faster in case of emergencies.

AI caters to the prediction operations. The patient data available can prove to be very insightful and can help predict diseases and trends by letting AI study the patterns. AI is also successful in predicting antibiotic resistance by analyzing electronic health data records of patients. In this way, AI can revolutionize healthcare and take it to the masses, along with making care and diagnosis extraordinarily streamlined and effective.

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