The Role of Artificial Intelligence in Respiratory Care
Author Information
Author(s): Karthika Manjush, Sreedharan Jithin K., Shevade Madhuragauri, Mathew Chris Sara, Ray Santosh
Primary Institution: Liwa College, Abu Dhabi, United Arab Emirates
Hypothesis
What is the current and potential role of AI in respiratory care?
Conclusion
AI has significant potential to enhance diagnostics, treatment, and patient management in respiratory care.
Supporting Evidence
- AI can analyze patients' electronic health records to forecast medical events.
- AI algorithms have shown promise in diagnosing conditions like pulmonary tuberculosis with high accuracy.
- Smart inhalers with AI improve patient adherence and monitoring of inhalation techniques.
- AI has been used to enhance the accuracy of lung ultrasound diagnostics.
- Machine learning models can predict the need for mechanical ventilation and tracheostomy.
Takeaway
AI helps doctors take better care of patients with breathing problems by making smart tools that can predict and diagnose issues.
Methodology
The article is a narrative review that systematically searched various electronic databases for relevant studies on AI in respiratory care.
Potential Biases
Potential biases in AI applications and the need for human oversight in decision-making processes.
Limitations
The implementation of AI in healthcare faces challenges such as data privacy, standardization, and acceptance by healthcare professionals.
Digital Object Identifier (DOI)
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