AI-BASED CHEST X-RAY SCREENING FOR EARLY TUBERCULOSIS DETECTION

Abstract

The application of Artificial Intelligence (AI) in the pharmaceutical sector and healthcare industry has ushered in a new era of intelligent and data-driven solutions in drug delivery and therapeutic optimization.Artificial Intelligence (AI) is revolutionizing the pharmaceutical industry and healthcare by introducing intelligent, data-driven solutions for targeted drug delivery and therapeutic optimization. Non-specific distribution, sub-optimal therapeutic activity, drug side effects and patient variability are issues with conventional drug delivery systems. This paper examines the use of AI technologies, such as machine learning, deep learning, reinforcement learning, and predictive analytics, for improving drug targeting accuracy, optimizing dosage administration and assisting with personalized treatment strategies. The study examines how AI is being used across various facets of drug discovery, such as target identification, intelligent nanocarrier design, and the analysis of biomarkers, as well as for adaptive therapeutic decision-making. In addition, a framework for targeted drug delivery and therapeutic optimization using an AI approach is presented, featuring data collection, predictive modelling, therapy optimisation and feedback mechanisms in real time. Experimental analysis will show that the prediction accuracy, drug delivery efficiency, targeting precision, treatment success rate and toxicity reduction in the case of experimental analysis will be significantly better than the results of using a conventional approach. Combined with wearable sensors and continuous patient monitoring, smart drug delivery systems offer adaptive and patient-centric healthcare solutions. Even with the issues of data quality, model interpretability and privacy and regulatory issues, AI based therapeutic systems could have a great future in the domain of precision medicine and clinical outcomes. The results show the potential of AI to create safer, more effective, and tailored drug delivery systems and suggest new avenues for future AI innovations, including explainable AI, digital twin, federated learning, and intelligent therapeutic systems...