Page 531 - Emerging Trends and Innovations in Web-Based Applications and Technologies

International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470

Fig1: Flowchart of AI methodologies in autonomous psychological health monitoring (APHM) systems
VI. RESULT ANALYSIS 3. Continuous Monitoring Benefits:
The result analysis of the AI-driven mental health  Early Detection of Relapse: Continuous monitoring
assessment and treatment framework reveals several key facilitated by the AI framework enabled the early
findings: identification of potential relapses, allowing for timely
interventions.
1. Diagnostic Accuracy:
 High Precision and Recall: The AI model demonstrated  Patient Engagement: The integration of AI-driven
a high level of precision and recall in identifying mental chatbots provided patients with accessible support,
health conditions, indicating its reliability in diagnostic enhancing engagement and adherence to treatment
applications. protocols.
 Comparative Performance: When benchmarked 4. Ethical and Practical Considerations:
against traditional assessment methods, the AI system  Data Privacy Compliance: Robust data encryption and
showed comparable, if not superior, accuracy, adherence to privacy regulations ensured the protection
suggesting its viability as a supplementary diagnostic of patient information throughout the study.
tool.
 Bias Mitigation: Ongoing assessments revealed
2. Personalized Treatment Efficacy: minimal biases in the AI model's recommendations,
 Improved Patient Outcomes: Patients receiving AI- promoting equitable care across diverse patient
personalized treatment plans exhibited notable demographics.
improvements in mental health metrics, highlighting the These findings underscore the potential of AI-driven
effectiveness of tailored interventions.
frameworks to augment mental health care by providing
 Adaptive Interventions: The system's ability to adjust accurate diagnostics, personalized treatments, and
treatment recommendations in real-time based on continuous support, while also highlighting the importance
patient progress contributed to sustained therapeutic of ethical considerations in deploying such technologies.
engagement and better outcomes.

IJTSRD | Special Issue on Emerging Trends and Innovations in Web-Based Applications and Technologies Page 521