The impact of artificial intelligence on the tasks of mental healthcare workers: A scoping review

Rebelo, Ana Daniela; Verboom, Damion E.; dos Santos, Nuno Rebelo; de Graaf, Jan Willem

doi:10.1016/j.chbah.2023.100008

Cited by 9 publications

(3 citation statements)

References 61 publications

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“…The need to address the unique challenges and resource constraints prevalent in LMICs drives the choice to integrate technology-driven solutions like Artificial Intelligence (AI), Machine Learning (ML), and Virtual Reality (VR) into mental health interventions ( 9 , 10 ). AI and ML offer innovative ways to develop predictive models for identifying at-risk women due to their husbands’ AUD, allowing for early and personalized interventions.…”

Section: Technology-driven Intervention Strategiesmentioning

confidence: 99%

The forgotten half: addressing the psychological challenges of wives of individuals with alcohol use disorder (AUD) in low- and middle-income countries

Joseph,

Babu,

Prakash

2024

Front. Psychiatry

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Section: Technology-driven Intervention Strategiesmentioning

confidence: 99%

The forgotten half: addressing the psychological challenges of wives of individuals with alcohol use disorder (AUD) in low- and middle-income countries

Joseph,

Babu,

Prakash

2024

Front. Psychiatry

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“…Dalam implementasinya Artificial Intellegence (AI) sering digunakan untuk membantu tenaga kesehatan dalam menilai prediksi risiko bunuh diri pada seseorang dan memberikan terapi pada pasien untuk pencegahan bunuh diri. Rebelo dkk menjelaskan bahwa AI paling sering digunakan untuk tugas penilaian, yang dihasilkan untuk mendukung dokter dalam proses diagnostic [18]. Pemantauan pasien juga dieksplorasi oleh beberapa makalah, yang menerapkan sistem cerdas untuk membantu para profesional dengan mengidentifikasi variabel yang dapat memprediksi hasil proses terapeutik dan mendeteksi suasana hati pasien.…”

Section: Tabel 1 Penilaian Literatur Menggunakan Jbi Checklist Tool I...unclassified

Artificial intelligence (AI) in efforts to prevent teenage suicide: literature review

Rosadi,

Yovalwan,

Asaduddin

2024

mki

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Suicide is a highly complex mental health issue that is a leading cause of death and requires efforts to reduce the number of victims. In the modern technology era, the utilization of artificial intelligence (AI) is seen as a suicide prevention initiative and presents a significant challenge in global prevention efforts. This literature review aims to determine the use of Artificial Intelligence (AI) in efforts to prevent teenage suicide. The research method utilizes the PRISMA guidelines. This literature review employs a systematic approach and selection process. Literature sources were searched from Proquest, PubMed, Google Scholar, and Scopus databases. Out of the 7 reviewed articles, 2 were from South Korea, 2 from the United States, and the remaining 3 were from Spain, Italy, and Canada. The Cohort research design was the most prevalent in this literature review (N = 5), and one study used an RCT design (N = 1), while a Cross-Sectional research design was employed in one study (N = 1). Overall, it indicates that AI is capable of predicting suicide risk and preventing suicide. The results of the literature review indicate that the use of AI technology has benefits in preventing teenage suicide.

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“…Many researchers focus attention on the working conditions in different sectors of economy and outline the direct relation and impact between working conditions and results of their work (for instanceAnguelov, 2019;Parteka, Wolszczak-Derlacz, Nikulin;2024). Some very specific aspects of adoption and implementation of AI in HRM are explored bySienkiewicz- Małyjurek (2023),Anguelov (2021),Bhupathi, Prabu and Goh (2023),Dabić, Maley, Švarc and Poček (2023),Rebelo et al (2023),Lee and Ahn (2020) etc.…”

mentioning

confidence: 99%

Improving HR management in innovative business organizations through digitalization and ICT

Angelova,

Stoyanova,

Stoyanov

2023

JESI

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Today`s business organizations face enormous challenges: an unpredictable, unsecured and complex business environment, strong competitiveness, substitute products, spoiled customers with growing needs and demands, pandemic restrictions and social isolation, post-pandemic situation and recovery, economy crisis, military conflicts etc. On this background the rapid development of information and communication technologies offers very logical and convenient way to secure company`s existence and growth. Recent past years proved that the usage of ICT in HR management opens new horizon both for the employees and their managers. On the other hand, the implementation of Artificial Intelligence and digitalization in HR management is not an unambiguous process. Still there are many open questions concerning ethics, personal freedom of employees etc. The aim of the present article is to understand the opinion of young people as future employees on the usage of ICT and AI in companies and on this base to propose some workable solutions for improving HR management in innovative business organizations. Our findings indicate that young people are not yet ready to accept the decision made only by AI without any interference from the managers. At the same time our responders admit that the most serious advantage of AI is in collection and analysis of large amounts of data, while the most serious limitation is the heavy reliance on the technology, which is the logical result in digital era.

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The impact of artificial intelligence on the tasks of mental healthcare workers: A scoping review

Cited by 9 publications

References 61 publications

The forgotten half: addressing the psychological challenges of wives of individuals with alcohol use disorder (AUD) in low- and middle-income countries

The forgotten half: addressing the psychological challenges of wives of individuals with alcohol use disorder (AUD) in low- and middle-income countries

Artificial intelligence (AI) in efforts to prevent teenage suicide: literature review

Improving HR management in innovative business organizations through digitalization and ICT

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