AI ALGOR ITHMS ON PHARMACEUTICAL HEALTHCARE IN PNEUMONIA

Pneumonia , It is an infection that inflames one or both the lungs . The air sacs may
filled with pus .It is caused by Bacteria ,viruses ,and fungi. Pneumonia is a leading cause of
morbidity, mortality Worldwide , presents significant challenges in diagnosis, management,
treatments. The integration of artificial intelligence in healthcare posses a global health concern. AI
technologies, particularly machine learning(or)NN algorithms, and deep learning where enhance
various aspects of the pharmaceutical pipeline. From the drug discovery and developing the patient
specific treatment optimization. When considering the diagnosis and management of pneumonia,
the use of AI and chest X-ray (CXR) images primarily have been indicative of early diagnosis,
prompt antimicrobial therapy, and ultimately, better prognosis. The AI algorithms generally
accelerates the identification of novel drug therapeutic targets. Especially it reducing the time and
also reducing the cost .The predictive models analyzes large number of datasets to forecast disease
progression and enabling personalized medicine approaches and optimize the antibiotics and
reducing the resistance of antibiotics .CDDS integrated with AI provides healthcare professionals
and it also shows the evidence based recommendations , enhancing decision making and patient
outcomes .The AI driven new platforms for the development of new Diagnostic tools , biomarkers,
early detection and monitoring and management .The impact of AI on pharmaceutical healthcare in
pneumonia emphasizing its potential to improve patient care , streamline drug development and
enhancing overall healthcare efficacy.