scholarly journals Artificial Intelligence in the Fight Against COVID-19: Scoping Review

10.2196/20756 ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. e20756 ◽  
Author(s):  
Alaa Abd-Alrazaq ◽  
Mohannad Alajlani ◽  
Dari Alhuwail ◽  
Jens Schneider ◽  
Saif Al-Kuwari ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Scoping Review ◽  
Data Extraction ◽  
Length Of Hospital Stay ◽  
Support Vector ◽  
Data Sets ◽  
Daily Lives ◽  
Scoping Reviews ◽  
Target Disease ◽  
Meta Analyses

Background In December 2019, COVID-19 broke out in Wuhan, China, leading to national and international disruptions in health care, business, education, transportation, and nearly every aspect of our daily lives. Artificial intelligence (AI) has been leveraged amid the COVID-19 pandemic; however, little is known about its use for supporting public health efforts. Objective This scoping review aims to explore how AI technology is being used during the COVID-19 pandemic, as reported in the literature. Thus, it is the first review that describes and summarizes features of the identified AI techniques and data sets used for their development and validation. Methods A scoping review was conducted following the guidelines of PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). We searched the most commonly used electronic databases (eg, MEDLINE, EMBASE, and PsycInfo) between April 10 and 12, 2020. These terms were selected based on the target intervention (ie, AI) and the target disease (ie, COVID-19). Two reviewers independently conducted study selection and data extraction. A narrative approach was used to synthesize the extracted data. Results We considered 82 studies out of the 435 retrieved studies. The most common use of AI was diagnosing COVID-19 cases based on various indicators. AI was also employed in drug and vaccine discovery or repurposing and for assessing their safety. Further, the included studies used AI for forecasting the epidemic development of COVID-19 and predicting its potential hosts and reservoirs. Researchers used AI for patient outcome–related tasks such as assessing the severity of COVID-19, predicting mortality risk, its associated factors, and the length of hospital stay. AI was used for infodemiology to raise awareness to use water, sanitation, and hygiene. The most prominent AI technique used was convolutional neural network, followed by support vector machine. Conclusions The included studies showed that AI has the potential to fight against COVID-19. However, many of the proposed methods are not yet clinically accepted. Thus, the most rewarding research will be on methods promising value beyond COVID-19. More efforts are needed for developing standardized reporting protocols or guidelines for studies on AI.

scholarly journals Artificial Intelligence in the Fight Against COVID-19: Scoping Review (Preprint)

2020 ◽  
Author(s):  
Alaa Abd-Alrazaq ◽  
Mohannad Alajlani ◽  
Dari Alhuwail ◽  
Jens Schneider ◽  
Saif Al-Kuwari ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Scoping Review ◽  
Data Extraction ◽  
Length Of Hospital Stay ◽  
Support Vector ◽  
Data Sets ◽  
Daily Lives ◽  
Scoping Reviews ◽  
Target Disease ◽  
Meta Analyses

BACKGROUND In December 2019, COVID-19 broke out in Wuhan, China, leading to national and international disruptions in health care, business, education, transportation, and nearly every aspect of our daily lives. Artificial intelligence (AI) has been leveraged amid the COVID-19 pandemic; however, little is known about its use for supporting public health efforts. OBJECTIVE This scoping review aims to explore how AI technology is being used during the COVID-19 pandemic, as reported in the literature. Thus, it is the first review that describes and summarizes features of the identified AI techniques and data sets used for their development and validation. METHODS A scoping review was conducted following the guidelines of PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). We searched the most commonly used electronic databases (eg, MEDLINE, EMBASE, and PsycInfo) between April 10 and 12, 2020. These terms were selected based on the target intervention (ie, AI) and the target disease (ie, COVID-19). Two reviewers independently conducted study selection and data extraction. A narrative approach was used to synthesize the extracted data. RESULTS We considered 82 studies out of the 435 retrieved studies. The most common use of AI was diagnosing COVID-19 cases based on various indicators. AI was also employed in drug and vaccine discovery or repurposing and for assessing their safety. Further, the included studies used AI for forecasting the epidemic development of COVID-19 and predicting its potential hosts and reservoirs. Researchers used AI for patient outcome–related tasks such as assessing the severity of COVID-19, predicting mortality risk, its associated factors, and the length of hospital stay. AI was used for infodemiology to raise awareness to use water, sanitation, and hygiene. The most prominent AI technique used was convolutional neural network, followed by support vector machine. CONCLUSIONS The included studies showed that AI has the potential to fight against COVID-19. However, many of the proposed methods are not yet clinically accepted. Thus, the most rewarding research will be on methods promising value beyond COVID-19. More efforts are needed for developing standardized reporting protocols or guidelines for studies on AI.

Artificial Intelligence for Skin Cancer Detection: A Scoping Review (Preprint)

2020 ◽  
Author(s):  
Abdulrahman Takiddin ◽  
Jens Schneider ◽  
Yin Yang ◽  
Alaa Abd-Alrazaq ◽  
Mowafa Househ
Keyword(s):  
Artificial Intelligence ◽  
Skin Cancer ◽  
Scoping Review ◽  
Performance Metrics ◽  
Data Extraction ◽  
Characteristic Curve ◽  
Evaluation Metrics ◽  
Cancer Type ◽  
Computer Algorithms ◽  
Scoping Reviews

BACKGROUND Skin cancer is the most common cancer type affecting humans. Traditional skin cancer diagnosis methods are costly, require a professional physician, and take time. Hence, to aid in diagnosing skin cancer, Artificial Intelligence (AI) tools are being used, including shallow and deep machine learning-based techniques that are trained to detect and classify skin cancer using computer algorithms and deep neural networks. OBJECTIVE The aim of this study is to identify and group the different types of AI-based technologies used to detect and classify skin cancer. The study also examines the reliability of the selected papers by studying the correlation between the dataset size and number of diagnostic classes with the performance metrics used to evaluate the models. METHODS We conducted a systematic search for articles using IEEE Xplore, ACM DL, and Ovid MEDLINE databases following the PRISMA Extension for Scoping Reviews (PRISMA-ScR) guidelines. The study included in this scoping review had to fulfill several selection criteria; to be specifically about skin cancer, detecting or classifying skin cancer, and using AI technologies. Study selection and data extraction were conducted by two reviewers independently. Extracted data were synthesized narratively, where studies were grouped based on the diagnostic AI techniques and their evaluation metrics. RESULTS We retrieved 906 papers from the 3 databases, but 53 studies were eligible for this review. While shallow techniques were used in 14 studies, deep techniques were utilized in 39 studies. The studies used accuracy (n=43/53), the area under receiver operating characteristic curve (n=5/53), sensitivity (n=3/53), and F1-score (n=2/53) to assess the proposed models. Studies that use smaller datasets and fewer diagnostic classes tend to have higher reported accuracy scores. CONCLUSIONS The adaptation of AI in the medical field facilitates the diagnosis process of skin cancer. However, the reliability of most AI tools is questionable since small datasets or low numbers of diagnostic classes are used. In addition, a direct comparison between methods is hindered by a varied use of different evaluation metrics and image types.

Artificial Intelligence and Ethics in Dentistry: A Scoping Review

2021 ◽  
pp. 002203452110138
Author(s):  
C.M. Mörch ◽  
S. Atsu ◽  
W. Cai ◽  
X. Li ◽  
S.A. Madathil ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Scoping Review ◽  
Ethical Issues ◽  
Data Extraction ◽  
Cochrane Library ◽  
Data Sets ◽  
Ethical Challenges ◽  
Internal Validation ◽  
Neural Learning ◽  
Learning Techniques

Dentistry increasingly integrates artificial intelligence (AI) to help improve the current state of clinical dental practice. However, this revolutionary technological field raises various complex ethical challenges. The objective of this systematic scoping review is to document the current uses of AI in dentistry and the ethical concerns or challenges they imply. Three health care databases (MEDLINE [PubMed], SciVerse Scopus, and Cochrane Library) and 2 computer science databases (ArXiv, IEEE Xplore) were searched. After identifying 1,553 records, the documents were filtered, and a full-text screening was performed. In total, 178 studies were retained and analyzed by 8 researchers specialized in dentistry, AI, and ethics. The team used Covidence for data extraction and Dedoose for the identification of ethics-related information. PRISMA guidelines were followed. Among the included studies, 130 (73.0%) studies were published after 2016, and 93 (52.2%) were published in journals specialized in computer sciences. The technologies used were neural learning techniques for 75 (42.1%), traditional learning techniques for 76 (42.7%), or a combination of several technologies for 20 (11.2%). Overall, 7 countries contributed to 109 (61.2%) studies. A total of 53 different applications of AI in dentistry were identified, involving most dental specialties. The use of initial data sets for internal validation was reported in 152 (85.4%) studies. Forty-five ethical issues (related to the use AI in dentistry) were reported in 22 (12.4%) studies around 6 principles: prudence (10 times), equity (8), privacy (8), responsibility (6), democratic participation (4), and solidarity (4). The ratio of studies mentioning AI-related ethical issues has remained similar in the past years, showing that there is no increasing interest in the field of dentistry on this topic. This study confirms the growing presence of AI in dentistry and highlights a current lack of information on the ethical challenges surrounding its use. In addition, the scarcity of studies sharing their code could prevent future replications. The authors formulate recommendations to contribute to a more responsible use of AI technologies in dentistry.

scholarly journals COVID-19 Associated Mucormycosis: Scoping Review Protocol

2021 ◽  
Author(s):  
Salman Hussain ◽  
Harveen Baxi ◽  
Abanoub Riad ◽  
Jitka Kulgarova ◽  
Radim Licenik ◽  
...  
Keyword(s):  
Fungal Infection ◽  
Scoping Review ◽  
Data Extraction ◽  
Special Focus ◽  
Unpublished Studies ◽  
Scoping Reviews ◽  
Registration Number ◽  
Critical Appraisal Tool ◽  
Meta Analyses ◽  
Detailed Search

Background and Objective: Mucormycosis, a serious and rare fungal infection, has occurred concurrently in COVID-19 patients globally. Mucormycosis is associated with a high risk of all-cause mortality, with mortality depending on body site infected, fungus type, and the patients overall condition. This deadly fungal infection is quite difficult and expensive to treat. Therefore, this scoping review aims to map all the empirical evidence on the association of COVID-19 with mucormycosis with a special focus on clinical presentation, treatment, and patient outcomes. Inclusion criteria: We will include all those studies which are presenting mucormycosis cases in COVID-19 positive patients. Methods: The proposed scoping review will be developed by adhering to the JBI methodology for scoping reviews and will be reported as per the Preferred Reporting Items for Systematic Reviews and Meta-analyses for Scoping Reviews (PRISMA-ScR). A detailed search strategy has already been utilized to locate both published and unpublished studies. Literature search was carried out in three phases. PubMed, Scopus, Cochrane, Google scholar was searched. Data will be extracted in a pre-designed data extraction sheet and risk of bias will be assessed using JBI critical appraisal tool. Data will be presented in tabular form. OSF registration number: osf.io/438sm

scholarly journals TECHNOSOCIALITY AND HEALTH PROMOTION IN THE DAILY LIVES OF PRIMARY CARE USERS: A SCOPING REVIEW

2021 ◽  
Vol 30 ◽  
Author(s):  
Leila Cristine do Nascimento ◽  
Amanda Morais Campos ◽  
Stephanie Botelho Figueiredo ◽  
Rosane Gonçalves Nitschke ◽  
Maria Josefa Arcaya Moncada ◽  
...  
Keyword(s):  
Health Care ◽  
Health Promotion ◽  
Scoping Review ◽  
The United States ◽  
Level Of Evidence ◽  
Daily Lives ◽  
Scoping Reviews ◽  
Meta Analyses ◽  
And Control ◽  
Behavioral Barriers

ABSTRACT Objective: to map available evidence on the use of technologies by Primary Health Care users in the context of health promotion. Method: this is a scoping review according to Joanna Briggs Institute, and the recommendations of the international guide Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews were followed. The PCC strategy (participants, concept and context) was used. The search in the databases was carried out from January to April 2020. Results: a total of 5,267 studies were retrieved and 28 articles were selected for review. The article origin was diverse, with the largest number being from the United States of America (7), the predominant language is English, the year was 2018 and the level of evidence 2. Studies show that users obtain benefits in health care through the use of technologies. Conclusion: health interventions, using technology, positively impact people’s behavior and lifestyle, focusing on the prevention and control of chronic diseases. It is noteworthy that technologies used in isolation cannot overcome behavioral barriers and their use does not replace one-to-one care and monitoring.

Factors Related to Positive Memory Count Among Trauma-Exposed Individuals: A Scoping Review

2021 ◽  
pp. 152483802110131
Author(s):  
Ateka A. Contractor ◽  
Stephanie V. Caldas ◽  
Megan Dolan ◽  
Nicole H. Weiss
Keyword(s):  
Scoping Review ◽  
Stress Disorder ◽  
Acute Stress ◽  
Longitudinal Research ◽  
Trauma Exposure ◽  
Memory Specificity ◽  
Scoping Reviews ◽  
Meta Analyses ◽  
Study Designs ◽  
Positive Memories

To examine the existing knowledge base on trauma experiences and positive memories, we conducted a scoping review of trauma and post-trauma factors related to positive memory count. In July 2019, we searched PubMed, Medline, PsycINFO, Web of Science, Cumulative Index of Nursing and Allied Health Literature, Embase, and PTSDpubs for a combination of words related to “positive memories/experiences,” “trauma/posttraumatic stress disorder (PTSD),” and “number/retrieval.” Twenty-one articles met inclusion criteria (adult samples, original articles in English, peer-reviewed, included trauma-exposed group or variable of trauma exposure, trauma exposure examined with a trauma measure/methodology, assessed positive memory count, empirical experimental/non-experimental study designs). Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines, two authors reviewed abstracts, completed a secondary search, and independently extracted data. Our review indicated (1) that depression and PTSD were most researched; (2) no conclusive relationships of positive memory count with several psychopathology (depression, acute stress disorder, eating disorder, and anxiety), cognitive/affective, neurobiological, and demographic factors; (3) trends of potential relationships of positive memory count with PTSD and childhood interpersonal traumas (e.g., sexual and physical abuse); and (4) lower positive memory specificity as a potential counterpart to greater overgeneral positive memory bias. Given variations in sample characteristics and methodology as well as the limited longitudinal research, conclusions are tentative and worthy of further investigations.

scholarly journals Role of occupational therapy in musicians’ health: a scoping review protocol

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e040922
Author(s):  
Bethany Villas ◽  
Uira Duarte Wisnesky ◽  
Sandra Campbell ◽  
Lauren Slavik ◽  
Amynah S. Mevawala ◽  
...  
Keyword(s):  
Occupational Therapy ◽  
Scoping Review ◽  
Health Conditions ◽  
Study Selection ◽  
Increased Risk ◽  
Scoping Reviews ◽  
Review Protocol ◽  
And Performance ◽  
Meta Analyses

Review question/objectiveThe purpose of this proposed review is twofold: first, to understand the role of occupational therapy presented in the musicians’ health literature; and second, to explore the potential for this role.IntroductionThe intense movement, awkward postures, concentration and emotional communication required of musicians can place them at increased risk of music-related health conditions, such as musculoskeletal disorders and performance anxiety. The development of music-related health conditions can be emotionally and financially devastating. The role of occupational therapy in musicians’ health has been previously discussed; however, no rigorous reviews of the scholarly literature have been published. We will, therefore, undertake a scoping review with the following research questions: (1) what is known about the role of occupational therapy in instrumental musicians’ health? and (2) what is the potential role of occupational therapy in musicians’ health?Methods and analysisA preliminary search of Medline, CINAHL, SCOPUS and Web of Science was previously undertaken by the first author to determine the extent of the research on this topic and to confirm that no other reviews have been conducted or are in progress. Study selection and analysis will follow the Joanna Briggs Institute and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews guidelines for conducting a scoping review.Ethics and disseminationFormal ethics approval is not required at our institution for a review of published literature. The results of this review will be shared through peer-reviewed publications, conference presentations and traditional and social media.

Parental Bereavement in Older Age: A Scoping Review

2021 ◽  
pp. 105413732199581
Author(s):  
Patricia Moyle Wright
Keyword(s):  
Older Adults ◽  
Scoping Review ◽  
Adult Child ◽  
Older Age ◽  
Parental Bereavement ◽  
Older Parents ◽  
Physical Decline ◽  
Scoping Reviews ◽  
Cultural Mores ◽  
Meta Analyses

A scoping review of parental bereavement in older age was conducted to identify the unique needs of older adults after the loss of an adult child. Inclusion and exclusion criteria were developed in accordance with the stated objectives of this review, which was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). In total, 26 research studies were included. The data were then analyzed using a systematic approach for organizing and synthesizing key data. The results indicated that some consequences and mediators of parental bereavement are similar regardless of age. But, older adults experience greater loneliness, isolation, and stigma than their younger counterparts. Older parents are also at greater risk for physical decline, mortality, and institutionalization following the death of an adult child. Religious and cultural mores also have influence on the bereavement process.

scholarly journals Antimicrobial Use in COVID-19 Patients in the First Phase of the SARS-CoV-2 Pandemic: A Scoping Review

Antibiotics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 745
Author(s):  
Wenjuan Cong ◽  
Ak Narayan Poudel ◽  
Nour Alhusein ◽  
Hexing Wang ◽  
Guiqing Yao ◽  
...  
Keyword(s):  
Critical Illness ◽  
Scoping Review ◽  
Clinical Evidence ◽  
Length Of Hospital Stay ◽  
Severity Of Illness ◽  
Antibiotic Prescribing ◽  
Antimicrobial Use ◽  
Clinical Scenarios ◽  
Scoping Reviews ◽  
The Impact

This scoping review provides new evidence on the prevalence and patterns of global antimicrobial use in the treatment of COVID-19 patients; identifies the most commonly used antibiotics and clinical scenarios associated with antibiotic prescribing in the first phase of the pandemic; and explores the impact of documented antibiotic prescribing on treatment outcomes in COVID-19 patients. The review complies with PRISMA guidelines for Scoping Reviews and the protocol is registered with the Open Science Framework. In the first six months of the pandemic, there was a similar mean antibiotic prescribing rate between patients with severe or critical illness (75.4%) and patients with mild or moderate illness (75.1%). The proportion of patients prescribed antibiotics without clinical justification was 51.5% vs. 41.9% for patients with mild or moderate illness and those with severe or critical illness. Comparison of patients who were provided antibiotics with a clinical justification with those who were given antibiotics without clinical justification showed lower mortality rates (9.5% vs. 13.1%), higher discharge rates (80.9% vs. 69.3%), and shorter length of hospital stay (9.3 days vs. 12.2 days). In the first 6 months of the pandemic, antibiotics were prescribed for COVID-19 patients regardless of severity of illness. A large proportion of antibiotic prescribing for mild and moderate COVID-19 patients did not have clinical evidence of a bacterial co-infection. Antibiotics may not be beneficial to COVID-19 patients without clinical evidence of a bacterial co-infection.

scholarly journals Intersectional stigma and its impact on HIV prevention and care among MSM and WSW in sub-Saharan African countries: a protocol for a scoping review

BMJ Open ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. e047280
Author(s):  
Gamji M’Rabiu Abubakari ◽  
Debbie Dada ◽  
Jemal Nur ◽  
DeAnne Turner ◽  
Amma Otchere ◽  
...  
Keyword(s):  
Hiv Prevention ◽  
Data Extraction ◽  
Grey Literature ◽  
Secondary Data ◽  
Well Being ◽  
Sub Saharan Africa ◽  
African Countries ◽  
Scoping Reviews ◽  
Sub Saharan ◽  
Meta Analyses

IntroductionResearch has established that various forms of stigma (HIV stigma, gender non-conforming stigma and same-gender sex stigma) exist across Sub-Saharan Africa and have consequences for the utilisation of HIV prevention and care services. Stigmas are typically investigated in HIV literature individually or through investigating individual populations and the various stigmas they may face. The concept of intersectionality highlights the interconnected nature of social categorisations and their ability to create interdependent systems of discrimination based on gender, race, sexuality and so on. Drawing from perspectives on intersectionality, intersectional stigma denotes the convergence of multiple marginalised identities within an individual or a group, the experiences of stigma associated with these identities as well as the synergistic impact of these experiences on health and well-being. With respect to HIV, public health scholars can examine the impacts of intersectional stigmas on HIV prevention and care utilisation.Methods and analysisReviewers will search systematically through MEDLINE, Global Health, Embase, Scopus, Web of Science Core Collection and Africa Index Medicus and citations for quantitative studies, qualitative studies and grey literature that include data on stigma and HIV among men who have sex with men and women who have sex with women in Sub-Saharan Africa. Eligible studies will include primary or secondary data on stigma related to HIV risk factors experienced by this population. Studies will be written in French or English and be published between January 1991 and November 2020. All screening and data extraction will be performed in duplicate, and if discrepancies arise, they will be settled by GM’RA, LEN, DD or AO. Findings from this study will be reported according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews.Ethics and disseminationEthics approval is not required as there will be no human participants and no protected data will be used in this study. We will disseminate findings through peer-reviewed manuscripts, conferences and webinars.

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