Lung sicknesses, which include continual obstructive pulmonary ailment (COPD), are a big international health difficulty, affecting hundreds of thousands of humans every 12 months. Traditional diagnostic strategies rely on subjective checks with the aid of medical professionals, leading to a high price of misdiagnosis and not on-time remedy. This highlights the need for an extra accurate and efficient lung ailment identification gadget. The Predictive Lung sickness identification (PLDI) gadget makes use of artificial intelligence (AI) and device-gaining knowledge of (ML) algorithms to locate and classify numerous lung diseases, including COPD. It uses techniques, image reputation, natural language processing, and records mining to research clinical snapshots and reviews, identifying patterns and markers of lung illnesses. The PLDI system has shown promising results in accurately detecting and classifying lung diseases, imparting a timely and correct diagnosis for patients.
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Singh et al. (2024) studied this question.
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