The integration of Artificial Intelligence (AI) into healthcare talent management is transforming how organizations recruit, retain, and optimize their workforce. This study explores the role of AI-powered solutions and predictive analytics in addressing critical challenges such as workforce shortages, skill mismatches, and employee turnover. AI-driven recruitment tools streamline hiring processes by analysing candidate profiles, predicting job fit, and reducing biases, thereby enhancing efficiency and diversity in hiring practices. Predictive analytics facilitate proactive workforce planning by forecasting staffing needs and identifying potential skill gaps, enabling organizations to adapt to evolving healthcare demands. Retention strategies are bolstered through AI models that assess employee satisfaction, identify attrition risks, and recommend targeted interventions. AI also personalizes learning and development programs, offering tailored up skilling opportunities to healthcare professionals while improving their career progression and satisfaction. Moreover, workforce scheduling tools powered by AI optimize staff allocation, ensuring balanced workloads and reducing burnout among healthcare providers. While the benefits are substantial, this research acknowledges ethical concerns surrounding data privacy, algorithmic bias, and the potential depersonalization of talent management processes. The findings emphasize the need for a balanced approach that combines technological advancements with a human-centric perspective.