Artificial Intelligence in Healthcare

Artificial Intelligence (AI) has rapidly emerged as a transformative force in modern healthcare by improving the efficiency,accuracy and accessibility of medical services. Increasing healthcare demands, aging populations, rising chronic disease burden,workforce shortages and escalating treatment costs have exposed major limitations of conventional healthcare systems, therebyaccelerating the need for intelligent and data-driven solutions. This review critically examines the role of AI in overcomingchallenges related to delayed diagnosis, fragmented healthcare data, operational inefficiencies and limited personalized treatmentapproaches. Key AI technologies, including Machine Learning (ML), Deep Learning (DL), Natural Language Processing(NLP), robotics and predictive analytics, are discussed with emphasis on their healthcare applications. Various algorithms suchas Logistic Regression, Random Forest, Support Vector Machine, Decision Tree, XGBoost, Convolutional Neural Networks,Recurrent Neural Networks and Long Short-Term Memory models are analyzed for disease prediction, diagnostic support,prognosis forecasting, treatment optimization, remote monitoring, drug discovery and administrative automation. The reviewalso explores critical healthcare data sources, including electronic health records, medical imaging, laboratory findings, wearablesensors, genomic databases and multimodal systems that support AI model development. Furthermore, integration of AI intohospitals, primary care, telemedicine platforms and rural healthcare settings is evaluated. Major implementation barriers suchas privacy risks, cybersecurity threats, algorithmic bias, lack of explainability, regulatory uncertainty, infrastructure limitationsand workforce resistance are critically discussed. Future perspectives involving generative AI, digital twins, precision medicine,autonomous robotics and equitable global healthcare expansion are also highlighted. Overall, AI represents a strategic pathwaytoward predictive, personalized, efficient and sustainable healthcare transformation