scholarly journals Telepsychiatry and the Role of Artificial Intelligence in Mental Health in Post-COVID-19 India: A Scoping Review on Opportunities

2020 ◽  
Vol 42 (5) ◽  
pp. 428-434
Author(s):  
Thenral M ◽  
Arunkumar Annamalai

Background: COVID-19 has a profound impact on people with existing mental disorders, augmenting the prevailing inequalities in mental health. Methods: In order to understand the status of telepsychiatry in India and the role of artificial intelligence (AI) in mental health and its potential applications, a scoping review was done between March 2020 and May 2020. The literature review revealed 253 papers, which were used to derive the primary framework for analysis. The information was then reviewed for ideas and concepts, which were integrated with evidence from gray literature and categorized under broader themes based on the insights derived. Finally, a thematic framework was developed for discussion to tailor scientific information for decision-makers’ needs. Results: Review findings are summarized under the following headings: changing patterns of health-seeking behavior, origin and evolution of telepsychiatry, possible applications of telepsychiatry and AI, technological features, and AI models in mental health. Conclusions: Though there are several potential opportunities, the time is not yet ripe for telepsychiatry and AI to be adopted fully in the field of mental health care. But it is time that we develop indigenous proprietary technology and test and validate it. With many solutions offered by telepsychiatry and AI, psychiatrists must choose an appropriate tool based on their requirements, availability of resources, and feasibility of deployment. Harmony between conventional care and technology-based care must be reached gradually.

2021 ◽  
pp. 030573562110194
Author(s):  
Amy Visser ◽  
Megan Lee ◽  
Timothy Barringham ◽  
Nasim Salehi

Professional popular musicians are at increased risk of psychological distress, substance use problems, and suicide, yet little evidence is available on effective psychotherapeutic practices to address these issues. This scoping review aims to understand how professional popular musicians perceive, engage with, and respond to mental health interventions. Four databases were searched, garnering a total of 310 articles. Of these, six met inclusion criteria. Four thematic categories were explored: (1) amenability of professional popular musicians to particular therapeutic approaches; (2) attribution of treatment outcomes to tailored approaches; (3) professional popular musicians’ perceived barriers to treatment; and (4) recommendations for treatment approaches. The scoping review supports the importance of considering the characteristics of professional popular musicians as a distinct group with unique well-being needs, challenges, and strengths. There is a clear preference for tailored, affordable, and accessible approaches that consider the uniquities of musicianship and the need to explore the role of nonclinical support, such as friends, family, and industry peers.


2018 ◽  
Vol 3 (1) ◽  
pp. 22
Author(s):  
Rapitos Sidiq

Kejadian Pneumonia pada balita masih menjadi permasalahan di dunia termasuk Indonesia. Banyak faktor yang melatarbelakangi kejadian penyakit ini, baik faktor lingkungan maupun perilaku manusia. Salah satu uapaya yang dilakukan untuk pencegahan penyakit ini adalah dengan peningkatan peran kader posyandu untuk kegiatan promotif dan preventif termasuk mempromosikan perilaku pencarian pertolongan kesehatan dan perawatan balita di rumah, sehingga setiap kader dituntut mengetahui tentang pencegahan pneumonia tersebut. Secara umu penelitian ini ingin melihat efektivitas penyuluhan kesehatan dalam meningkatkan pengetahuan kader posyandu tentang pencegahan penyakit pneumonia pada balita di wilayah kerja Puskesmas Darul Kamal Tahun 2017. Penelitian menggunakan metode quasi eksperimental dengan rancangan one group pretest-postest design. Jumlah sampel penelitian 30 orang. Uji statistic yang digunakan paired t-tes tingkat kemaknaan (α) 0,05 (5%). Penelitian ini menghasilkan nilai pengetahuan kader sebelum dan sesudah intervensi adalah 27,17:29,00 dengan p-value 0,003 (< 0,05). Penyuluhan kesehatan efektif dalam meningkatkan pengetahuan kader posyandu tentang pencegahan penyakit pneumoniaKata kunci:   Penyuluhan kesehatan, pengetahuan, kader posyandu, pneumonia, balita  ABSTRACTThe incidence of pneumonia in a toddler is still a problem in the world including Indonesia. Many factors caused the incidence of this disease, both environmental factors, and human behavior. One of the efforts undertaken for the prevention of this disease is by increasing the role of Health Post cadres for promotive and preventive activities including promoting health-seeking behavior and home toddler care so that each cadre is required to know about the prevention of pneumonia. In general, this research would like to see the effectiveness of health counseling in increasing the knowledge of health pos cadres on prevention of pneumonia disease in under-five children in the work area of Puskesmas Darul Kamal 2017. The study used quasi-experimental method with one group pretest-posttest design. The sample size is 30 people. Test statistic used paired t-test significance level (α) 0.05 (5%). This study yields cadre knowledge value before and after intervention is 27,17: 29,00 with p-value 0,003 (<0,05). Health counseling is effective in increasing knowledge of cadres about prevention of pneumonia disease.Keywords: Health counseling, knowledge, cadres, pneumonia, toddler


Author(s):  
S. I. Volodina

The paper considers the present time status of the Russian advocacy, the progress in digitalization of the legal profession and plans for the future development, as well as advocacy’s challenging issues and solu- tions. The article reviews criteria for division of advocacy’s challenging issues. The paper refers to the creation of a commemorative medal in honor of the 30th anniversary of the FSAR (Russian Federal Lawyers Union).The role in the integration of the legal profession of the famous attorney and the former head of the department of advocacy of the Kutafi n Moscow State Law University (MSAL) A. V. Kligman, in whose honor the medal was created, is described. Also, the article highlights the “Pashayev eff ect” as the legal profession antihero and shows the negative consequences to which his behavior led. Moreover, attention is paid to the Concept of the development of the legal aid market and the tasks of the legal profession. Besides topics discovered, the Author analyzes the problems of protecting the professional rights of attorneys, the example of violation of the rights is provided by the case of attorney Diana Tsipinova in 2020 and the advocacy’s attempts to achieve a positive result. The problem of creating a specialized advocacy is revealed. The question of the mandatory internship for the purpose to acquire the status of an attorney is discussed. Defenсe standards and Standards of proof are observed. An example of the successful practice in the fi eld of people’s mental health of attorney Y. L. Ershov and his role in changing the law enforcement in mentioned area is given. The role of professional development of advocacy is shown.


2021 ◽  
Author(s):  
Paras Bhatt ◽  
Jia Liu ◽  
Yanmin Gong ◽  
Jing Wang ◽  
Yuanxiong Guo

BACKGROUND Artificial Intelligence (AI) has revolutionized healthcare delivery in recent years. There is an increase in research for advanced AI techniques, such as deep learning to build predictive models for the early detection of diseases. Such predictive models leverage mobile health (mHealth) data from wearable sensors and smartphones to discover novel ways for detecting and managing chronic diseases and mental health conditions. OBJECTIVE Currently, little is known about the use of AI-powered mHealth settings. Therefore, this scoping review aims to map current research on the emerging use of AI-powered mHealth (AIM) for managing diseases and promoting health. Our objective is to synthesize research in AIM models that have increasingly been used for healthcare delivery in the last two years. METHODS Using Arksey and O’Malley’s 5-point framework for conducting scoping reviews, we review AIM literature from the past two years in the fields of Biomedical Technology, AI, and Information Systems (IS). We searched three databases - informs PubsOnline, e-journal archive at MIS Quarterly, and ACM Digital Library using keywords such as mobile healthcare, wearable medical sensors, smartphones and AI. We include AIM articles and exclude technical articles focused only on AI models. Also, we use the PRISMA technique for identifying articles that represent a comprehensive view of current research in the AIM domain. RESULTS We screened 108 articles focusing on developing AIM models for ensuring better healthcare delivery, detecting diseases early, and diagnosing chronic health conditions, and 37 articles were eligible for inclusion. A majority of the articles were published last year (31/37). In the selected articles, AI models were used to detect serious mental health issues such as depression and suicidal tendencies and chronic health conditions such as sleep apnea and diabetes. The articles also discussed the application of AIM models for remote patient monitoring and disease management. The primary health concerns addressed relate to three categories: mental health, physical health, and health promotion & wellness. Of these, AIM applications were majorly used to research physical health, representing 46% of the total studies. Finally, a majority of studies use proprietary datasets (28/37) rather than public datasets. We found a lack of research in addressing chronic mental health issues and a lack of publicly available datasets for AIM research. CONCLUSIONS The application of AIM models for disease detection and management is a growing research domain. These models provide accurate predictions for enabling preventive care on a broader scale in the healthcare domain. Given the ever-increasing need for remote disease management during the pandemic, recent AI techniques such as Federated Learning (FL) and Explainable AI (XAI) can act as a catalyst to increase the adoption of AIM and enable secure data sharing across the healthcare industry.


2021 ◽  
Author(s):  
Victoria Welch ◽  
Tom Joshua Wy ◽  
Anna Ligezka ◽  
Leslie C. Hassett ◽  
Paul E. Croarkin ◽  
...  

BACKGROUND Mental health disorders across the life span are a leading cause of medical disabilities. This burden is particularly significant in children and adolescents due to challenges in diagnoses and lack of precision medicine approaches. The advent and widespread adoption of wearable devices (e.g., smartwatches) that generate large volumes of passively collected data that are conducive for artificial intelligence applications to remotely diagnose and manage child and adolescent mental health disorders is promising. OBJECTIVE This study conducted a scoping review to study, characterize and identify areas of innovations with wearable devices that can augment current in-person physician assessments to individualize diagnosis and management of mental health disorders in child and adolescent psychiatry. METHODS This scoping review used PRISMA’s information as a guide. A comprehensive search of several databases from 2011 to June 25, 2021, limited to English language and excluding animal studies, was conducted. The databases included Ovid MEDLINE (R) and Epub Ahead of Print, In-Process & Other Non-Indexed Citations and Daily, Ovid Embase, Ovid Cochrane Central Register of Controlled Trials, Ovid Cochrane Database of Systematic Reviews, Web of Science, and Scopus. RESULTS The initial search yielded 344 articles. 19 articles were left on the final source list for this scoping review. Articles were divided into three main groups: Studies with the main focus on Autism Spectrum Disorder (ASD), Attention Deficit Hyperactivity Disorders (ADHD) and Internalizing disorders such as anxiety disorders. Majority of the studies used either ECG strap or wrist worn biosensor. CONCLUSIONS Our scoping review found large heterogeneity of methods and findings in artificial intelligence studies in child psychiatry. Overall, the largest gaps identified in this scoping review are the lack of randomized control trials, most available studies are pilot feasibility trials.


Author(s):  
Alberto Mangano ◽  
Valentina Valle ◽  
Nicolas Dreifuss ◽  
Gabriela Aguiluz ◽  
Mario Masrur

AI (Artificial intelligence) is an interdisciplinary field aimed at the development of algorithms to endow machines with the capability of executing cognitive tasks. The number of publications regarding AI and surgery has increased dramatically over the last two decades. This phenomenon can partly be explained by the exponential growth in computing power available to the largest AI training runs. AI can be classified into different sub-domains with extensive potential clinical applications in the surgical setting. AI will increasingly become a major component of clinical practice in surgery. The aim of the present Narrative Review is to give a general introduction and summarized overview of AI, as well as to present additional remarks on potential surgical applications and future perspectives in surgery.


Author(s):  
Chloe Zivot ◽  
Cate Dewey ◽  
Cole Heasley ◽  
Sharada Srinivasan ◽  
Matthew Little

Interdisciplinary health research that investigates gender as a relational process is necessary to facilitate a safe and healthy resettlement process for refugees in Canada. This scoping review explores the range, nature, and extent of published research examining gender in relation to refugee health during resettlement in Canada. An initial search of six databases yielded 7325 articles published before June 2019. A total of 34 articles published between 1988 and 2019 were included for in-depth review. Articles meeting inclusion criteria primarily focused on refugee women. Categories of focus included maternal health, social and emotional health, health impacts of sexual and gender-based violence and torture, access to health and social services, decision-making and health-seeking behavior, mental health, and sexual and reproductive health. Our thematic analysis identified connections between gender roles, expectations, ideals, and health through interactions and lived experiences within the family, community, and healthcare system. Review findings suggest that many refugee women are influenced by pervasive gender roles and expectations as well as exposed to gendered health systems and practices that may pose risks to health, particularly mental health and access to services. Further efforts should be made to understand processes and experiences of resilience and community building in countering negative impacts of gendered beliefs and practices on health during resettlement.


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