Artificial intelligence in the healthcare industry is promising.
AI has helped professionals in many ways – diagnosing and treating patients and delivering the best care and patient experience.
The integration of AI will help analyze medical images, detect diseases, and predict patient outcomes.
Conclusion: With the introduction of more innovative and new generation AI tools, healthcare is more advanced in the sense of more awareness, efficiency in delivering care, identification of developing complications, accurate diagnosis of diseases ahead of time, and most recent approaches for interventions.
In fact, AI is already being used in healthcare to help diagnose patients, for drug “discovery and development,” to improve physician-patient communication, and to transcribe medical documents.
Data Challenges in Implementing AI in Healthcare
An inconsistent data set introduces biases and errors.
This can have profound consequences for an AI model trained on such raw data.
Biased and inaccurate data can perpetuate healthcare disparities and affect patient outcomes.
Opportunities and challenges of artificial intelligence in healthcare
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