Abstract

REVOLUTIONIZING HEALTHCARE: THE INTEGRATION OF AI IN THE DIGITALIZATION OF HEALTH CARE SYSTEMS

Ah M. Iftekhar Nisar and Kaiser Jamil*

ABSTRACT

In recent years, the healthcare industry has experienced a transformative shift driven by the integration of artificial intelligence (AI) into the digitalization of health systems. This evolution represents a groundbreaking advancement that not only enhances patient care but also streamlines processes, improves diagnostics, and fosters proactive healthcare management. The amalgamation of AI and digital technologies has not only redefined medical practices but has also led to a paradigm shift in how healthcare is delivered and received. One of the primary areas where AI has significantly impacted the healthcare landscape is in diagnostics. AI-powered algorithms have shown remarkable accuracy and efficiency in interpreting medical imaging, such as X-rays, MRIs, and CT scans. These systems are adept at recognizing patterns and anomalies that might be overlooked by In recent years, the healthcare industry has experienced a transformative shift driven by the integration of artificial intelligence (AI) into the digitalization of health systems. This evolution represents a groundbreaking advancement that not only enhances patient care but also streamlines processes, improves diagnostics, and fosters proactive healthcare management. The amalgamation of AI and digital technologies has not only redefined medical practices but has also led to a paradigm shift in how healthcare is delivered and received. One of the primary areas where AI has significantly impacted the healthcare landscape is in diagnostics. AI-powered algorithms have shown remarkable accuracy and efficiency in interpreting medical imaging, such as X-rays, MRIs, and CT scans. These systems are adept at recognizing patterns and anomalies that might be overlooked by

Keywords: Artificial intelligence, Machine learning, Precision treatment, Predictive analytics, Digital Health, Responsible AI.