Published Paper Details:

The integration of Artificial Intelligence (AI) into healthcare has the potential to revolutionize the industry, enhancing patient outcomes, optimizing workflows, and reducing costs. AI technologies, including machine learning, natural language processing, and computer vision, are transforming diagnostics, treatment planning, drug discovery, and patient care management. By enabling more accurate diagnoses, personalized therapies, and efficient administrative processes, AI is improving the overall quality of healthcare services. However, challenges such as data privacy, ethical concerns, and the need for robust infrastructure remain as the healthcare sector adapts to these advancements. This abstract explores the current applications of AI in healthcare, its potential to streamline operations and enhance clinical decision-making, and the future prospects and challenges in creating a more efficient, accessible, and patient-centered healthcare system. Artificial Intelligence is the theory and development of computer systems that are able to perform tasks that would require human intelligence. AI in healthcare is the use of algorithms and software to approximate human cognition in the analysis of complex medical data. It mainly refers to doctors and hospitals accessing vast data sets of potentially life- saving information This includes treatment methods and their outcomes, survival rates, and speed of care gathered across millions of patients, geographical locations and innumerable and sometimes interconnected health conditions. Algorithms are already outperforming radiologists at spotting malignant tumours, and guiding researchers in how to construct cohorts for costly clinical trials. Imaging, on the other hand has become an essential component of many fields in medicine, biomedical applications, biotechnology and laboratory research by which images are processed and analysed. Putting together AI and imaging, the tools and techniques of artificial intelligence are useful for solving many biomedical problems and using a computer based equipped hardware software application for understanding images, researchers and clinicians can enhance their ability to study, diagnose, monitor, understand and treat medical disorders. AI is used in medical imaging to analyze breast cancer(Sonar ,MRI,CT), liver fibrosis and tumour etc.