Authors: Tarun Krishna Mahajan
Abstract: This comprehensive review examines the current state and future prospects of artificial intelligence AI) in healthcare, with particular emphasis on implementation strategies, challenges, and outcomes. The global AI healthcare market, valued at $26.57 billion in 2024, is projected to reach $187.69 billion by 2030, growing at a CAGR of 38.62% [^62]. This study analyzes AI applications across clinical decision support systems, predictive analytics, telemedicine, and population health management. Key findings indicate that 94% of healthcare providers currently use AI in some capacity, with clinical decision support systems demonstrating significant improvements in diagnostic accuracy and patient outcomes [^65]. Machine learning approaches, particularly random forest algorithms 42% of studies) and logistic regression 37% of studies), show greatest effectiveness in disease prediction and management 1 . However, implementation faces substantial barriers including data quality issues 47% of leaders cite this concern), regulatory compliance challenges 39% , and workflow integration difficulties [^73]. The review presents the HealthWise ecosystem as a case study of comprehensive AI integration, demonstrating potential for government-scale deployment across 130 crore Aadhaar cardholders in India. Privacy and security considerations under HIPAA and GDPR regulations require careful attention, with end-to-end encryption and privacy-by-design approaches being essential for compliance [^82]. This analysis concludes that successful AI implementation requires integrated approaches combining technological innovation, regulatory compliance, stakeholder engagement, and sustainable business models to realize the transformative potential of AI in healthcare delivery.
