Digital Therapeutics: Transforming Healthcare Through AI & Emerging Technology

The integration of Artificial Intelligence (AI) into Digital Therapeutics (DTx) has emerged as a transformative trend in healthcare, offering innovative solutions for the management, treatment, and prevention of various medical conditions. DTx, defined as clinically validated software-based therapeutic interventions, are increasingly leveraging AI technologies, including machine learning, deep learning, and advanced data analytics, to enhance their efficacy, personalization, and scalability. This literature review explores the state-ofthe-art developments in AI-driven DTx, focusing on key applications, underlying technologies, and regulatory considerations. The review highlights how AI enhances DTx through patient-centered approaches, such as tailored interventions, real-time monitoring, and predictive analytics, while also addressing challenges such as data privacy, security, and integration with existing healthcare systems. Furthermore, this study outlines opportunities for future research and innovation, particularly in areas like interoperability, outcome validation, and ethical AI implementation. By examining existing literature and case studies, this paper underscores the potential of AI-enabled DTx to reshape modern healthcare delivery and promote accessible, evidence-based therapeutic interventions