TY - GEN
T1 - Benefits, Implications and Ethical Concerns of Machine Learning Tools Serving Mental Health Purposes
AU - Gamboa, Patricia
AU - Quaresma, Cláudia
AU - Varandas, Rui
AU - Gamboa, Hugo
N1 - info:eu-repo/grantAgreement/FCT/OE/PD%2FBDE%2F150304%2F2019/PT#
info:eu-repo/grantAgreement/FCT/OE/PD%2FBDE%2F150672%2F2020/PT#
PY - 2021
Y1 - 2021
N2 - In recent years, Healthcare and Mental Health have been in the spotlight for the creation of tools using Artificial Intelligence (AI). Mental Health technologies have proliferated in the last years, from social robotics to self-help tools and internet-based intervention programs. In particular, machine learning algorithms have been embedded into applications, for example, to provide a probability or classification regarding risk behaviours (e.g., suicide prevention tools). This paper reflects on the use of AI applied in mental healthcare tools, to assist clinicians in diagnosis, differential diagnosis and monitoring of patients with brain-related disorders. Benefits regarding the use of these technologies in mental healthcare will be discussed as well as some limitations and ethical concerns.
AB - In recent years, Healthcare and Mental Health have been in the spotlight for the creation of tools using Artificial Intelligence (AI). Mental Health technologies have proliferated in the last years, from social robotics to self-help tools and internet-based intervention programs. In particular, machine learning algorithms have been embedded into applications, for example, to provide a probability or classification regarding risk behaviours (e.g., suicide prevention tools). This paper reflects on the use of AI applied in mental healthcare tools, to assist clinicians in diagnosis, differential diagnosis and monitoring of patients with brain-related disorders. Benefits regarding the use of these technologies in mental healthcare will be discussed as well as some limitations and ethical concerns.
KW - Artificial Intelligence
KW - Healthcare technologies
KW - Machine Learning
KW - Mental health
UR - http://www.scopus.com/inward/record.url?scp=85111974924&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-78288-7_27
DO - 10.1007/978-3-030-78288-7_27
M3 - Conference contribution
AN - SCOPUS:85111974924
SN - 978-3-030-78287-0
T3 - IFIP Advances in Information and Communication Technology
SP - 285
EP - 294
BT - Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings
A2 - Camarinha-Matos, Luis M.
A2 - Ferreira, Pedro
A2 - Brito, Guilherme
PB - Springer
CY - Cham
T2 - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021
Y2 - 7 July 2021 through 9 July 2021
ER -
