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PD41 Role Of Artificial Intelligence In Improving Access To COVID-19 Diagnosis During Pandemic
- Pedro Galvan, Jose Fusill, Felipe Gonzalez, Ronald Rivas, Benicio Grossling, Jose Ortellado, Juan Portillo, Julio Borba, Enrique Hilario
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- Journal:
- International Journal of Technology Assessment in Health Care / Volume 38 / Issue S1 / December 2022
- Published online by Cambridge University Press:
- 23 December 2022, p. S105
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Introduction
The evolution of advances in informatics, technology in medicine, and artificial intelligence (AI) offers opportunities to enhance health care during the coronavirus disease 2019 (COVID-19) pandemic. The challenge for biomedical engineers is to implement these developments in clinical practice to improve global health. Populations living in low-income countries do not have access to specialist care and quality diagnostic services for COVID-19. Therefore, an AI system based on a telemedicine platform for diagnosing COVID-19 could help mitigate the lack of highly trained radiologists at regional hospitals and serve as a triage system for rationalizing the use of reverse transcription polymerase chain reaction (RT-PCR) testing and other health resources in low-income countries. Thus, the utility of an AI system for diagnosing COVID-19 in Paraguay was investigated.
MethodsThis is a descriptive multicenter observational feasibility study of an AI tool for the rapid detection of COVID-19 in chest computed tomography (CT) images of patients with respiratory difficulties who attended public hospitals across the country.
ResultsBetween March 2020 and August 2021, 3,514 rapid diagnostic tests were carried out on patients with respiratory disorders to rule out COVID-19 in 14 hospitals nationwide. The average age of the patients was 48.6 years (52.8% were men); the most common age ranges were 27 to 59 years, followed by older than 60 years and 19 to 26 years. The most frequent findings on the CT images were severe pneumonia, bilateral pneumonia with pleural effusion, bilateral pulmonary emphysema, diffuse ground glass opacity, hemidiaphragmatic paresis, calcified granuloma in the lower right lobe, bilateral pleural effusion, sequelae of tuberculosis, bilateral emphysema, and fibrotic changes. Overall, there was 93 percent agreement and 7 percent discordance between the AI system and the RT-PCR test results. Compared with RT-PCR testing, the AI system had a sensitivity of 93 percent and a specificity of 80 percent.
ConclusionsParaguay has an AI-based telemedicine screening system for the rapid detection of COVID-19 that uses chest CT images of patients with respiratory conditions.
PD42 Diagnosis Of Chronic Diseases During The COVID-19 Pandemic Through Telemedicine
- Pedro Galvan, Ronald Rivas, Benicio Grossling, José Ortellado, Carlos Arbo, Juan Portillo, Julio Borba, Enrique Hilario
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- Journal:
- International Journal of Technology Assessment in Health Care / Volume 38 / Issue S1 / December 2022
- Published online by Cambridge University Press:
- 23 December 2022, pp. S105-S106
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Introduction
The diagnosis and management of chronic diseases during the coronavirus disease 2019 (COVID-19) pandemic was one of the biggest challenges facing healthcare systems globally, especially in low-income countries. Since basic health care for chronic diseases can overwhelm the capacity of conventional face-to-face healthcare services, there is growing interest in using information and communication technology and telemedicine to improve access to medical services that are often not consistently available in rural communities. In this context, telemedicine tools should be directed toward maintaining basic health services for patients with chronic conditions in rural and underserved hospitals. This study evaluated a telemedicine system in remote public hospitals in Paraguay to demonstrate how telemedicine improved access to tertiary level diagnostic services for patients with chronic conditions.
MethodsThis descriptive study evaluated the use of telemedicine for diagnosing patients in remote public hospitals to improve provision of basic health services to patients with chronic disease during the COVID-19 pandemic. The type and frequency of diagnostic studies performed were determined.
ResultsDuring the study 677,023 telediagnoses were performed in 67 hospitals. The 435,568 electrocardiograms performed in 61 hospitals indicated normal physiology (60.1%), unspecified arrhythmias (10.5%), and sinus bradycardia (8.4%). The 227,360 teletomography tests performed in 12 hospitals were undertaken on the head (52.4%) because of trauma (motorcycle accidents) and cerebrovascular diseases, chest (15.8 %), and other anatomical regions. The 14,076 electroencephalograms performed in 19 hospitals were undertaken for antecedents of seizure (53.3%), disease progression controls (14.0%), and headache (12.5%). Nineteen prenatal ultrasound scans were conducted.
ConclusionsAlthough the results are promising for using telemedicine to bridge gaps and improve equity in the provision of basic health services for patients with chronic diseases in remote locations during the COVID-19 pandemic, a widespread use assessment should be undertaken before this tool is adopted.
Perceived major experiences of discrimination, ethnic group, and risk of psychosis in a six-country case−control study
- Supriya Misra, Bizu Gelaye, David R. Williams, Karestan C. Koenen, Christina P.C. Borba, Diego Quattrone, Marta Di Forti, Giada Tripoli, Caterina La Cascia, Daniele La Barbera, Laura Ferraro, Ilaria Tarricone, Domenico Berardi, Antonio Lasalvia, Sarah Tosato, Andrei Szöke, Pierre-Michel Llorca, Celso Arango, Andrea Tortelli, Lieuwe de Haan, Eva Velthorst, Julio Bobes, Miguel Bernardo, Julio Sanjuán, Jose Luis Santos, Manuel Arrojo, Cristina Marta Del-Ben, Paulo Rossi Menezes, Jean-Paul Selten, Peter B. Jones, Hannah E. Jongsma, James B. Kirkbride, Bart P.F. Rutten, Jim van Os, Robin M. Murray, Charlotte Gayer-Anderson, Craig Morgan
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- Journal:
- Psychological Medicine / Volume 52 / Issue 15 / November 2022
- Published online by Cambridge University Press:
- 02 March 2021, pp. 3668-3676
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Background
Perceived discrimination is associated with worse mental health. Few studies have assessed whether perceived discrimination (i) is associated with the risk of psychotic disorders and (ii) contributes to an increased risk among minority ethnic groups relative to the ethnic majority.
MethodsWe used data from the European Network of National Schizophrenia Networks Studying Gene-Environment Interactions Work Package 2, a population-based case−control study of incident psychotic disorders in 17 catchment sites across six countries. We calculated odds ratios (OR) and 95% confidence intervals (95% CI) for the associations between perceived discrimination and psychosis using mixed-effects logistic regression models. We used stratified and mediation analyses to explore differences for minority ethnic groups.
ResultsReporting any perceived experience of major discrimination (e.g. unfair treatment by police, not getting hired) was higher in cases than controls (41.8% v. 34.2%). Pervasive experiences of discrimination (≥3 types) were also higher in cases than controls (11.3% v. 5.5%). In fully adjusted models, the odds of psychosis were 1.20 (95% CI 0.91–1.59) for any discrimination and 1.79 (95% CI 1.19–1.59) for pervasive discrimination compared with no discrimination. In stratified analyses, the magnitude of association for pervasive experiences of discrimination appeared stronger for minority ethnic groups (OR = 1.73, 95% CI 1.12–2.68) than the ethnic majority (OR = 1.42, 95% CI 0.65–3.10). In exploratory mediation analysis, pervasive discrimination minimally explained excess risk among minority ethnic groups (5.1%).
ConclusionsPervasive experiences of discrimination are associated with slightly increased odds of psychotic disorders and may minimally help explain excess risk for minority ethnic groups.
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