Artificial Intelligence Innovation and Applications in Therapy: Advancements, Challenges, and Future Directions

• Abram Johnson

  Author

Artificial intelligence (AI) is transforming therapeutic practices across psychological, physical, and medical domains. This paper reviews AI innovations and their applications in therapy, focusing on machine learning algorithms, virtual agents, robotic assistants, and predictive analytics. AI supports diagnosis, treatment personalization, real-time monitoring, and patient engagement, offering opportunities to enhance therapy efficacy and accessibility. Applications include mental health interventions using chatbots, cognitive-behavioral therapy, rehabilitation robots for motor recovery, and AI-assisted pharmacotherapy planning. Challenges such as ethical considerations, data security, bias in algorithms, and clinical integration are discussed. A conceptual framework is proposed integrating AI technology, clinical practice, and patient outcomes. The study highlights the potential of AI to augment therapeutic practices while underscoring the need for ethical and effective implementation strategies.

• JHSCT000002.pdf