Patients with Mental Health Problems and Artificial Intelligence: New Perspectives and Opportunities in Healthcare

Abstract

Mental health issues are among the greatest public health challenges globally. With the increasing number of patients suffering
from various mental disorders, the demand for effective treatments is growing. Artificial intelligence (AI) has emerged as an
innovative opportunity to improve the diagnosis, treatment, and management of patients with mental health problems. This
article examines the use of AI in the field of mental health and provides an overview of the possibilities that this technology
offers for improving patient care. Through the analysis of various studies, this article discusses the advantages, challenges, and
opportunities for integrating AI in the treatment of mental disorders, including the use of algorithms for diagnosis, monitoring,
and personalized treatment of patients. Furthermore, the potential impacts of AI in healthcare systems, particularly in Albania,
and opportunities for implementation in this country are also explored.

Full text

Patients with Mental Health Problems and Articial Intelligence: New Perspectives
and Opportunities in Healthcare
Mirela Tushe*
Aldent University, University Hospital Center "Mother Teresa," Tirana, Albania
Citation: Tushe M. Patients with Mental Health Problems and Articial Intelligence: New Perspectives and Opportunities in
Healthcare. J M Med Stu 2025; 2(1), 111-113.
Received: 08 March, 2025; Accepted: 12 March, 2025; Published: 14 March, 2025
*Corresponding author: Mirela Tushe, Aldent University, University Hospital Center "Mother Teresa," Tirana, Albania
Copyright: © 2025 Tushe M, this is an open-access article published in J M Med Stu (JMMS) and distributed under the terms
of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium,
provided the original author and source are credited.
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Opinion
Vol: 2 & Iss: 1
https://urfpublishers.com/journal/medicine-medical-studies
Journal of Medicine and Medical Studies
1. Introduction
Mental health is one of the most critical aspects of individual
and societal well-being. Mental health disorders, such as
depression, anxiety, schizophrenia, and other disorders, are on
the rise and constitute a signicant burden on public health
and the economy. With the increasing demand for effective
treatments and continuous monitoring, it is essential to leverage
advanced technologies such as Articial Intelligence to improve
the treatment and management of these disorders1. Articial
Intelligence holds signicant potential to offer a wide range
of possibilities in mental health care, including algorithms for
faster and more accurate diagnoses, real-time monitoring, and
personalized treatment for patients2. This article aims to explore
the impact of AI on the treatment and management of mental
health issues, addressing the opportunities and challenges that
this technological development presents in healthcare systems,
especially in Albania.
2. Methodology
This study is based on a comprehensive analysis of
existing literature and previous studies on the use of articial
intelligence (AI) in the diagnosis, treatment, and management
of mental health disorders. The aim of this study is to examine
the possibilities and challenges that AI offers in improving the
treatment of patients with mental health issues. For this purpose,
the following methodological steps have been followed:
Selection of literature sources: The literature reviewed
includes scholarly articles, journals, research reports, and
A B S T R A C T
Mental health issues are among the greatest public health challenges globally. With the increasing number of patients suering
from various mental disorders, the demand for eective treatments is growing. Articial intelligence (AI) has emerged as an
innovative opportunity to improve the diagnosis, treatment, and management of patients with mental health problems. is
article examines the use of AI in the eld of mental health and provides an overview of the possibilities that this technology
oers for improving patient care. rough the analysis of various studies, this article discusses the advantages, challenges, and
opportunities for integrating AI in the treatment of mental disorders, including the use of algorithms for diagnosis, monitoring,
and personalized treatment of patients. Furthermore, the potential impacts of AI in healthcare systems, particularly in Albania,
and opportunities for implementation in this country are also explored.
Keywords: Articial Intelligence, Albania, Data Privacy, Diagnosis, Ethical Concerns, Healthcare Technology, Mental Health,
Mental Health Disorders, Mental Health Treatment, Personalized Treatment, Privacy and Security, Real-time Monitoring,
Remote Healthcare, Security Infrastructure, Supportive AI Tools, Symptom Monitoring, Treatment Optimization, AI Algorithms,
Collaborative Treatment Plans, Continuous Monitoring

J M Med Stu | Vol: 2 & Iss: 1
Tushe M.,
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studies published between 2019-2024, addressing the use of
AI in diagnosing and treating mental health disorders. These
sources were selected from well-known scientic databases such
as PubMed, Google Scholar, and Scopus.
• Inclusion and exclusion criteria: Studies that discuss the
use of AI for diagnosing, treating, and managing various
mental health disorders, including depression, anxiety,
and schizophrenia, were included. Studies focusing solely
on the use of AI in other medical elds or not addressing
mental health disorders were excluded from this review.
• Analysis methodology: The analysis was based on
a qualitative approach to identify the key trends and
opportunities that AI presents in improving mental health
services. The studies were examined to highlight the
advantages, challenges, and opportunities AI brings to the
treatment of patients, including the use of algorithms for
faster and more accurate diagnosis, real-time monitoring,
and personalized treatments.
• Study groups and population: The study included various
studies conducted in multiple countries, including Albania,
to explore the potential implementation of AI in mental
health systems in the region. It also examined studies
involving patients with mental health disorders and mental
health professionals to understand how AI can assist in
improving the treatment and management of these patients.
• Data collection method: Data were collected through a
systematic review of the literature and previous studies,
using qualitative and comparative analysis methods of cases
and studies implemented in different countries. Participants
in these studies included mental health professionals and
patients, and the data were analyzed to draw conclusions
about the opportunities AI offers in improving patient care.
• Data analysis and interpretation: The collected data
were analyzed to assess the impact of AI on improving
the treatment of mental health disorders. The analysis
compares the results of AI-supported treatments and
traditional treatments, focusing on potential benets such
as faster diagnosis, personalized treatments, and continuous
monitoring. Additionally, challenges associated with AI
usage, such as concerns about data privacy and the need for
professional oversight of treatments, were identied.
3. Results
The Use of Articial Intelligence in Diagnosing and Treating
Mental Disorders: The use of AI for diagnosing mental health
disorders has attracted considerable attention in recent years.
AI algorithms can analyze clinical and psychological data from
patients to identify patterns that assist in diagnosing mental
disorders, allowing for faster and more accurate diagnoses3.
These algorithms can analyze data such as medical history,
psychological test results, as well as patients’ behavior and
communication in order to identify signs of disorders such as
depression, anxiety, and schizophrenia4. In this way, AI can
assist doctors and mental health specialists in creating a more
personalized treatment plan for each patient. For example,
AI-supported platforms can analyze patient data and suggest
therapies and medications that may be more effective for each
individual patient, reducing the likelihood of using inappropriate
or ineffective treatments5.
AI Tools in Caring for Patients with Mental Health Issues: In
addition to its use in diagnosis, AI has the potential to provide
continuous monitoring and personalized treatment for patients
with mental health problems. Tools such as chatbots and
AI-based applications can offer ongoing support and counseling
to patients, helping them manage symptoms and feel supported
during difcult periods6. These platforms can offer cognitive-
behavioral therapy and allow for the monitoring and recording
of patients’ symptoms through an interactive and convenient
interface. Moreover, AI can be used to provide personalized
therapy by analyzing patients’ responses to different treatments
and suggesting changes to the treatment plan. In this way, AI
helps minimize the side effects of therapies and maximizes the
chance of success in treating mental disorders7.
Benets of AI in Managing Mental Disorders: One of the
greatest benets of using AI in managing mental health disorders
is its ability to offer a personalized approach to treatment. Every
patient has specic needs and symptoms, and the use of AI can
help determine the treatments that are most effective for each
individual. Furthermore, AI can provide continuous monitoring
and real-time assistance, helping patients manage their symptoms
and prevent treatment failures (Jin et al., 2023). Another benet
is the potential to reach more patients. By using AI-supported
applications and platforms, patients in remote areas or those who
lack access to healthcare services can have the opportunity to
receive necessary treatment and support, thereby bridging the
gap in healthcare availability2.
AI has the potential to signicantly transform the
management and treatment of mental health disorders. With
the ability to personalize treatment plans and offer continuous
support, AI can enhance patient outcomes and improve the
efciency of healthcare delivery. However, it is essential to
acknowledge the challenges, such as data privacy and the need
for appropriate oversight, to ensure the responsible and ethical
use of AI in mental health care. As this technology continues to
evolve, its integration into mental health services, particularly
in countries like Albania, offers signicant opportunities to
improve care for underserved populations, while also addressing
global healthcare challenges.
4. Discussion
Although AI offers many opportunities in the treatment and
management of mental health disorders, there are also several
challenges and concerns that need to be addressed. One of these
concerns is the protection of patient data privacy and security.
The use of sensitive data for treatment and diagnosis requires
strong data protection and reliable infrastructure for information
management8. It is also important that AI is used as a supportive
tool rather than a replacement for healthcare professionals. AI’s
assistance in treating mental health disorders should remain
a part of a collaborative treatment plan supervised by doctors
and psychologists who can offer personalized advice and
human support to patients3. In addition to these challenges, the
widespread adoption of AI in mental health care raises important
questions regarding accessibility, equity, and the need for
continuous monitoring of its effectiveness. AI has the potential to
reach underserved populations, including those in remote areas,
but it must be carefully implemented to ensure that it doesn’t
exacerbate existing disparities in healthcare access. For AI to be
truly effective, it needs to be integrated into mental health care
systems in a way that complements and strengthens the work of
healthcare professionals, ensuring that patients receive the best
possible care and support.

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Tushe M., J M Med Stu | Vol: 2 & Iss: 1
5. Conclusion
Articial Intelligence has the potential to bring about
signicant changes in how mental health disorders are treated
and managed. With the benets it offers, such as faster
diagnosis, personalized treatment, and continuous monitoring,
AI can help improve the quality of care for patients4. Its use
in Albania, however, requires coordinated efforts between
healthcare and technology institutions to ensure successful
and safe implementation6. Additionally, it is crucial to address
challenges such as data privacy, ethical concerns, and the need
for human oversight to ensure that AI’s integration into mental
health services is both effective and respectful of patients’
rights. Furthermore, AI should be used as a complementary
tool that enhances the work of healthcare professionals, rather
than replacing them. The collaboration between AI technologies
and mental health professionals can create more personalized,
effective, and accessible care solutions, ensuring that patients
receive comprehensive support tailored to their needs. The
successful adoption of AI in mental health care systems,
particularly in countries like Albania, holds immense promise
for improving patient outcomes and advancing healthcare on a
global scale.
6. References
1. Jin KW, Li Q, Xie Y, Xiao G. Articial intelligence in mental
healthcare: An overview and future perspectives. British Journal
of Radiology, 2023;96(1150).
2. Olawade DB, Wada OZ, Odetayo A, David-Olawade AC,
Asaolu F, Eberhardt J. Enhancing mental health with articial
intelligence: Current trends and future prospects. Global
Medicine, 2024;100099.
3. Subrahmanyan M. AI: A new horizon of promises & challenges:
Exploring the impact of articial intelligence in mental health
care. International Journal of Research Publication and
Reviews, 2023;4(8):2038-2045.
4. Benda N, Desai P, Reza Z, et al. Patient perspectives on AI
for mental health care: Cross-sectional survey study. Journal
Name, 2024.
5. Cross S, Bell I, Nicholas J, et al. Use of AI in mental health care:
Community and mental health professionals survey, 2024.
6. Rebelo AD, Verboom DE, Rebelo dos Santos N, de Graaf
JW. The impact of articial intelligence on the tasks of mental
healthcare workers: A scoping review, 2023;100008.
7. Dailah HG, Koriri M, Sabei A, Kriry T, Zakri M. Articial
intelligence in nursing: Technological benets to nurse’s mental
health and patient care quality. Healthcare, 2024;12: 2555.
8. World Health Organization (WHO). Articial intelligence in
mental health research: New WHO study on applications and
challenges, 2023.