Role of Applied AI in Healthcare
Artificial intelligence has emerged as a real game changer in the recent years, transforming the way how industries operate and use the technologies for efficiency and better results.Â
AI is being used in various industries like transportation, logistics, finance, autonomous vehicles, and cybersecurity. But, the role of AI in healthcare sector has led to significant advancements that enabled healthcare professionals to leverage AI for making accurate decisions.
Applied AI has turned theories into practical applications to address real world problems. In healthcare, data driven insights helps in research, diagnosing and choosing better treatment plans for patients. Let us explore how applied ai transformed healthcare and why it is becoming an essential part of modern medical practices.
Why Applied Artificial Intelligence in Healthcare?
Unlike general AI, which focuses on simulating human intelligence, applied AI involves in specializing the tasks using machine learning algorithms and data analysis. Healthcare requires a deep analysis and it depends on patient’s historical data.
AI helps in processing huge amounts of data sets and identify the patterns to make accurate predictions.
Applied AI leverage four branches of data analytics to analyze the historical data of a patient and suggest with personalized treatment solutions.
Healthcare sector has always adopted new technologies for streamlining its operations, automating tasks, reducing costs and also for improving the patient outcomes.
Now it gained more traction with the applied AI because of its practical approach and the ability to handle vast amounts of data stored within the organization. The influx of healthcare data like health records, research papers, and diagnostic images seems to grow exponentially.
To handle and interpret this data efficiently, AI is necessary given its precision and speed. Some of the key reasons why AI is used in healthcare:
Diagnostic Accuracy:
AI powered diagnostic tools improves the level of accuracy of patient’s disease detection. By analyzing medical images, patient histories and genetic information, AI is capable of identifying the patterns earlier and detect the diagnosis accurately.
Personalized Treatment:
By leveraging machine learning algorithms, and data analysis, AI can suggest personalized treatment plans based on research papers and patient’s medical history.
Drug Discovery:
AI process vast amounts of biomedical data sets including research papers and clinical trial data, and compares it with the isolated patient’s test cases to see if the patterns are matching. This helps in identifying drug discovery at the early stage. Otherwise, traditional drug discovery involves lot of time for manual testing and researching. It often costs high.Â
Reducing Healthcare Costs:
AI makes healthcare affordable by streamlining their operations, optimizing resource allocation and reducing unnecessary expenditure.
Future of Applied AI in Healthcare
Applied AI has already opened the doors for new innovations and uncountable opportunities. Its approach to turn concepts into realities by applying machine learning, statistical modeling, predictive analytics has brought revolutionary changes in decision making process across various sectors including healthcare.
AI to play a major role in critical healthcare applications for analyzing test reports, diagnostic images, and genetic information, etc.
The global market for AI is estimated to reach $1,600 billion by 2030, according to a report by Pwc.
As we move further, the future of AI in healthcare is going to redefine medical practices across the world.
Predictive analytics, to play a significant role in healthcare. It analyzes the customer data including their habits, and preferences to provide personalized health consultation and sell the medicines.
Remote Patient Monitoring:
AI technologies enable doctors to monitor the patients remotely without the need for traditional healthcare settings.
AI in healthcare has just begun. It is clear that future unfolds many great possibilities and innovations taking healthcare a step forward and pave the way for a healthier and resilient society.
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