Mental health has become a pressing concern in the UK, with rising rates of anxiety, depression, and other mental health issues affecting millions.
An Ipsos survey has found that mental health has surpassed cancer and obesity as the primary health concern for many Britons.
Experts attribute this shift in public perception to the significant increase in mental health issues in recent years, driven by factors such as the Covid pandemic, the cost of living crisis, and rising male violence against women.
When the study commenced in 2018, 50% of British participants identified cancer, obesity, and mental health as the country's biggest health issues.
However, mental health has since risen in prominence, with 54% of respondents in England, Scotland, and Wales now expressing concern about it.
With the growing demand for mental health services and lack of staff, The National Health Service (NHS) has been struggling to keep up which leads to long waiting times for patients seeking support. This backlog not only exacerbates existing mental health problems but also discourages individuals from seeking help altogether.
In response to this crisis, numerous private companies have launched AI-driven mental health apps designed to provide quick and streamlined access to support. These innovative solutions offer users the ability to receive immediate assistance, track their mental health progress, and access tailored resources. While these apps present a promising alternative for those facing barriers to traditional care, concerns remain about their efficacy and the lack of human empathy in digital interactions.
While there may be potential benefits of these AI applications, it is crucial to consider whether they truly represent the best option for individuals navigating mental health challenges, or if they should serve as a supplementary resource alongside traditional therapeutic methods.
Co-founder & CEO, MAGIC AI, Varun Bhanot said, "Artificial Intelligence (AI) is revolutionising both mental and physical health, offering unprecedented opportunities to enhance well-being and personal performance. By harnessing advanced algorithms, AI can provide personalised insights and recommendations that cater to individual needs, transforming the way we approach health and fitness. At MAGIC AI, we recognise the transformative power of personalised training and wellness solutions. Our innovative MAGIC AI Mirror utilises AI technology to provide real-time feedback, helping users optimise their workouts and build mental resilience through tailored coaching.”
“Moreover, AI's ability to analyse data trends and user behaviour allows for continuous adaptation of fitness routines, helping individuals overcome mental barriers and stay committed to their health goals. The integration of AI in mental health applications further supports users by offering personalised mindfulness and meditation practices, which can significantly reduce stress and improve emotional well-being. As we continue to explore the intersection of AI, mental, and physical health, we recognise the importance of creating accessible solutions that empower individuals to take control of their wellness, " he added.
Balancing AI advancements with human connection
Nikita Thakrar, a multifaceted teacher and coach, highlights that artificial intelligence (AI) can revolutionise mental health care by offering innovative solutions for accessible and effective treatments. However, it is essential to address the concerns and risks associated with its use. She said, “While AI offers significant benefits in mental health care, the absence of human empathy is a valid concern. Empathy is vital for understanding a patient’s thoughts and feelings, forming the foundation of a therapeutic relationship. Although AI can effectively support patients logistically, it should be complemented by qualified mental health professionals. The limitations of AI in understanding the nuances of human emotion can result in ineffective interventions and a lack of connection, potentially triggering negative feelings and worsening symptoms.”
“Furthermore, patients may hesitate to share sensitive information with AI due to fears of being misunderstood, impacting trust essential for therapy. Additionally, AI tools often lack the emotional support that human therapists provide, which is crucial for patients facing complex emotional challenges,” she added.
Nikita pointed out that AI systems rely on large datasets to learn and make predictions, but these datasets can be biassed, resulting in skewed outcomes. This is especially troubling in mental health care, where such biases can reinforce harmful stereotypes and exacerbate disparities in treatment. She said, “Data bias in AI models can lead to inaccuracies in diagnosing and treating individuals from underrepresented demographics, highlighting the need for training datasets that reflect the diverse population they serve. Additionally, AI systems must be culturally sensitive to avoid reinforcing harmful stereotypes based on background, religion, or ethnicity. Protecting patient privacy and confidentiality is crucial in mental health care, necessitating AI designs that comply with relevant regulations. Accessibility and inclusivity for people with disabilities are also essential, requiring technology adaptations for diverse needs.”
“To ensure AI-driven mental health tools are effective and unbiased, a hybrid approach that combines AI assistance with human expertise is vital. This model allows AI to handle data analysis and personalised treatment planning, while human therapists provide the emotional support and guidance necessary for effective care. I believe AI will not replace therapists but will enhance our efficiency in supporting those struggling with mental health issues,” she added.
