How AI Is Revolutionizing Healthcare
The data in this blog is for general informational purposes only and information presented was accurate as of the publication date.
Artificial intelligence (AI), or intelligence demonstrated by machines, is heavily influencing many industries. AI applications in healthcare can literally change patients' lives, improving diagnostics and treatment and helping patients and the healthcare provider make informed medical decisions quickly.
AI in the global healthcare market (the total value of products and services sold) was valued at $2.4 billion in 2019 and is projected to reach $31.02 billion in 2025. Now in the COVID-19 pandemic, AI is being leveraged to identify virus-related misinformation on social media and remove. AI is also helping scientists expedite vaccine development, track the virus, and understand individual and population risk, among other applications.
Companies such as Microsoft, which recently stated it will dedicate $20 million to advance the use of artificial intelligence in COVID-19 research, recognize the need for and extraordinary potential of AI in healthcare. The ultimate goal of AI in healthcare is to improve patient outcomes by revolutionizing treatment techniques.
4 Ways AI Is Transforming Healthcare
AI technology can help healthcare professionals diagnose patients by analyzing symptoms, suggesting personalized treatments, and predicting risk. It can also detect abnormal results.
- Improving Diagnostics: AI technology can help healthcare professionals diagnose patients by analyzing symptoms, suggesting personalized treatments, and predicting risk. It can also detect abnormal results.
Analyzing Symptoms, Suggesting Personalized Treatments, and Predicting Risk Many healthcare providers and health care organizations are already using intelligent symptom checkers. This machine learning technology asks patients a series of questions about their symptoms and, based on their answers, informs them of appropriate next steps for seeking care.
- Advancing Treatment Options: AI technology can analyze complex medical data and draw conclusions, allowing for more informed and personalized treatment.
Deep learning models have the ability to analyze massive amounts of data, including information about a patient's genetic content, other molecular/cellular analysis, and lifestyle factors—and find relevant research that can help doctors select treatments.
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Boosting Patient Adherence and Engagement: AI technology can help patients stay on track with treatment plans by sending reminders and providing personalized feedback.
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Supporting Administrative and Operational Efficiency: AI technology can help streamline administrative tasks, such as scheduling and billing, freeing up healthcare professionals to focus on patient care.
In conclusion, AI is transforming healthcare in many ways, from improving diagnostics to advancing treatment options. Its potential to revolutionize treatment techniques and improve patient outcomes makes it an exciting development in the field of healthcare.
