Artificial Intelligence for Mental Health: A Double-Edged Sword

doi:10.15354/si.23.co13

Paper

Artificial Intelligence for Mental Health: A Double-Edged Sword

Published Nov 29, 2023 · Rajani Yadav

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Abstract

Artificial intelligence (AI) in the context of mental health presents a complex scenario characterized by both advantageous prospects and inherent hazards. AI possesses the capacity to fundamentally transform the field of mental healthcare through the provision of individualized and readily accessible assistance. AI systems possess the capacity to analyze extensive quantities of data and identify patterns, thereby offering valuable assistance to doctors in the diagnosis of mental diseases, development of personalized treatment programs, and even prediction of relapses. Furthermore, there is ongoing development in the field of AI to create chatbots that utilize AI technology and serve as virtual therapists. These chatbots aim to provide individuals with continuous emotional support, available at any time of the day. Nonetheless, this technological advancement also gives rise to apprehensions about issues of privacy, ethical considerations, and an excessive dependence on automated systems. Robust security measures are crucial in safeguarding the anonymity of consumers while utilizing AI systems due to the sensitive nature of mental health data. Furthermore, it is important to consider the potential for dehumanization when patients only depend on interventions driven by machines, as opposed to fostering human connection and empathy. Achieving an optimal equilibrium between technical progress and preserving interpersonal connection remains a key aspect in fully using the capabilities of AI in the field of mental health, while simultaneously ensuring its effects on individual welfare are protected.

Study Snapshot

AI in mental health can revolutionize diagnosis, treatment, and relapse prediction, but privacy concerns and ethical concerns must be addressed to avoid dehumanization and maintain human connection.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

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Paper

Artificial Intelligence for Mental Health: A Double-Edged Sword

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References

Barriers to Use Artificial Intelligence Methodologies in Health Technology Assessment in Central and East European Countries

Barriers to using AI in Central and Eastern European Health Technology Assessment systems include data, methodological, technological, regulatory, and human factor issues.

Using Artificial Intelligence to Enhance Ongoing Psychological Interventions for Emotional Problems in Real- or Close to Real-Time: A Systematic Review

AI-based methods can significantly enhance psychotherapy by reducing clinical symptomatology and increasing patient satisfaction, engagement, and retention rates.

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Artificial intelligence shows potential in addressing mental health shortages, offering lower costs and wider reach, but also comes with its own advantages and disadvantages.

Addressing bias in big data and AI for health care: A call for open science

AI algorithms in healthcare need to address algorithmic bias, which can lead to fatal outcomes and misdiagnoses, by addressing data misrepresentation using open science tools.

Artificial Intelligence for Mental Healthcare: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom.

AI can help diagnose, predict, and treat mental illnesses, but must address biases, privacy, transparency, and ethical concerns to provide more compassionate and ethical care.

The rise of artificial intelligence in healthcare applications

AI can improve healthcare by enhancing diagnostics, treatment, and administrative tasks, while not replacing human work.

Going digital: how technology use may influence human brains and behavior

Digital technology use can influence human brains and behavior in both positive and negative ways, with morphological alterations in early childhood and adolescence, but excessive screen time is not linked to mental health problems or well-being deterioration.

The impact of artificial intelligence in medicine on the future role of the physician

AI-based systems in medicine will augment physicians' roles in various specializations, but are unlikely to replace the traditional physician-patient relationship.

Index

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