AI in Mental Healthcare: Balancing Technology and Human Interaction
Author Information
Author(s): Babu Anithamol, Joseph Akhil P.
Primary Institution: School of Social Work, Marian College Kuttikkanam Autonomous, Kuttikkanam, India
Hypothesis
Can AI truly replicate the essential human touch foundational to therapeutic success, or does it enhance mental healthcare by addressing inefficiencies?
Conclusion
AI has transformative potential in mental healthcare, complementing rather than replacing human therapists.
Supporting Evidence
- AI can analyze vast amounts of data to provide personalized treatment plans.
- AI can predict patient responses to different therapies more accurately than traditional methods.
- AI can help bridge the accessibility gap in mental healthcare by providing digital interventions.
Takeaway
AI can help doctors understand patients better and provide personalized care, but it can't replace the human connection that's important in therapy.
Potential Biases
AI systems can reflect biases present in their training data, potentially leading to skewed diagnoses and treatment recommendations.
Limitations
AI's effectiveness depends on the quality of data it is trained on, and it may not address systemic issues like the digital divide.
Digital Object Identifier (DOI)
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