scholarly journals Artificial Intelligence in Healthcare: Validating an AI Algorithm in Health Institutions in the COVID-19 Pandemic (a Use Case)

2021 ◽  
Author(s):  
Иван Андреевич Блохин ◽  
Сергей Павлович Морозов ◽  
Валерия Юрьевна Чернина ◽  
Анна Евгеньевна Андрейченко ◽  
Ислам Висханович Шахабов ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Predictive Value ◽  
Healthcare Access ◽  
Use Case ◽  
Public Health Action ◽  
Health Action ◽  
Automated Data Analysis ◽  
New Challenges ◽  
Health Institutions ◽  
Improve Access

The paper considers new challenges related to public health. Action is needed to improve access to healthcare while maintaining its quality. The introduction of AI-based automated data analysis systems can be a solution to that. The present study seeks to assess the use of AI in outpatient care to detect pathological changes in the lungs typical of a coronavirus amidst the pandemic. The sample size was 600 patients. The results were statistically and analytically processed. The sensitivity attained 94%; the specificity, accuracy and the area under the ROC curve were 77%, 83%, and 87%, respectively. The negative predictive value was 97%; the positive predictive value was 66%. The data obtained show that the algorithm separates the CT scan results having no abnormalities in the lungs. The authors conclude that the usage of AI technologies helped to improve diagnostic accuracy during the COVID-19 pandemic. Artificial intelligence algorithms can also work with patients in non-pandemic times, thus improving healthcare access.

scholarly journals Reconciling Epidemiology’s Aspirations and Capabilities

2020 ◽  
Author(s):  
David A Savitz
Keyword(s):  
Public Health ◽  
Epidemiologic Studies ◽  
Public Health Importance ◽  
Public Health Action ◽  
Action Current ◽  
Current Trends ◽  
The Face ◽  
Health Action ◽  
New Challenges ◽  
Health Applications

Abstract Interpreting the results of epidemiologic studies calls for objectivity and rigorous scrutiny, acknowledging the limitations that temper the applicability of the findings to public health action. Current trends have posed new challenges to balancing goal of scientific objectivity and validity with public health applications. The ongoing tension between epidemiology’s aspirations and capability has several sources: the need to overpromise in research proposals, compromising methodologic rigor because of public health importance, defending findings in the face of hostile critics, and appealing to core constituencies who have specific expectations from the research.

scholarly journals Assessing the Use of PCR To Screen for Shedding of Salmonella enterica in Infected Humans

2020 ◽  
Vol 58 (7) ◽  
Author(s):  
Tyler Lloyd ◽  
Monica Bender ◽  
Sandra Huang ◽  
Robert Brown ◽  
Rita Shiau ◽  
...  
Keyword(s):  
Predictive Value ◽  
Salmonella Enterica ◽  
The United States ◽  
Direct Patient Care ◽  
Culture Methods ◽  
Public Health Action ◽  
Content Type ◽  
Standard Culture ◽  
Health Action ◽  
Positive Results

ABSTRACT Recovery from enteric bacterial illness often includes a phase of organismal shedding over a period of days to months. The monitoring of this process through laboratory testing forms the foundation of public health action to prevent further transmission. Regulations in most jurisdictions in the United States exclude individuals who continue to shed certain organisms from sensitive occupations and situations, such as food handling, providing direct patient care, or attending day care. The burden that this creates for recovering patients and their families/coworkers is great, so any effort to provide efficiency to the testing process would be of significant benefit. We sought to assess the ability of PCR for the detection of Salmonella enterica shedding and to compare that ability to culture-based testing. PCR would be faster than culture and would allow results to be generated more quickly. Herein, we show data that indicate that, while PCR and culture testing agree in the majority of cases, there are incidents of discordance between the two tests, whereupon PCR shows positive results when culture indicates lack of detectable viable organisms. Using culture-based testing as the standard, the negative predictive value of PCR was found to be 100%, while the positive predictive value was 79%. The nature of this discordance is briefly investigated. We found that it is possible that PCR may not only detect nonviable organisms in stool but also viable organisms that remain undetectable by standard culture methods.

Successful Use Case Applications of Artificial Intelligence in the Steel Industry

2019 ◽  
Author(s):  
L. Ometto ◽  
S. Challapalli ◽  
M. Polo ◽  
G. Cestari ◽  
A. Villagrossi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Steel Industry ◽  
Use Case

Estimating the number of cases during COVID-19 pandemics using a web-based tool: first week results of “COVID-19 TRENDS” social media project in the Araba-Alava province in Basque country, Spain. (Preprint)

2020 ◽  
Author(s):  
Ignacio Garitano ◽  
Manuel Linares ◽  
Laura Santos ◽  
Ruth Gil ◽  
Elena Lapuente ◽  
...  
Keyword(s):  
Public Health ◽  
Social Media ◽  
Response Rate ◽  
Basque Country ◽  
Case Definition ◽  
Public Health Action ◽  
Web Based ◽  
Health Action ◽  
Estimate Number ◽  
Media Project

UNSTRUCTURED On 28th February a case of COVID-19 was declared in Araba-Álava province, Spain. In Spain, a confinement and movement restrictions were established by Spanish Government at 14th March 2020. We implemented a web-based tool to estimate number of cases during the pandemic. We present the results in Áraba-Álava province. We reached a response rate of 10,3% out a 331.549 population. We found that 22,4 % fulfilled the case definition. This tool rendered useful to inform public health action.

scholarly journals Mapping value sensitive design onto AI for social good principles

AI and Ethics ◽  
2021 ◽  
Author(s):  
Steven Umbrello ◽  
Ibo van de Poel
Keyword(s):  
Artificial Intelligence ◽  
Contact Tracing ◽  
Use Case ◽  
Value Sensitive Design ◽  
Specific Design ◽  
Established Method ◽  
Social Good ◽  
Do No Harm ◽  
Design Requirements ◽  
Whole Life Cycle

AbstractValue sensitive design (VSD) is an established method for integrating values into technical design. It has been applied to different technologies and, more recently, to artificial intelligence (AI). We argue that AI poses a number of challenges specific to VSD that require a somewhat modified VSD approach. Machine learning (ML), in particular, poses two challenges. First, humans may not understand how an AI system learns certain things. This requires paying attention to values such as transparency, explicability, and accountability. Second, ML may lead to AI systems adapting in ways that ‘disembody’ the values embedded in them. To address this, we propose a threefold modified VSD approach: (1) integrating a known set of VSD principles (AI4SG) as design norms from which more specific design requirements can be derived; (2) distinguishing between values that are promoted and respected by the design to ensure outcomes that not only do no harm but also contribute to good, and (3) extending the VSD process to encompass the whole life cycle of an AI technology to monitor unintended value consequences and redesign as needed. We illustrate our VSD for AI approach with an example use case of a SARS-CoV-2 contact tracing app.

scholarly journals Risk factors, symptom reporting, healthcare-seeking behaviour and adherence to public health guidance: protocol for Virus Watch, a prospective community cohort study

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e048042
Author(s):  
Andrew Hayward ◽  
Ellen Fragaszy ◽  
Jana Kovar ◽  
Vincent Nguyen ◽  
Sarah Beale ◽  
...  
Keyword(s):  
Public Health ◽  
Cohort Study ◽  
Online Survey ◽  
Respiratory Infections ◽  
Advisory Group ◽  
Antibody Testing ◽  
Public Health Action ◽  
Nasal Swabs ◽  
Health Action ◽  
Minority Ethnic

IntroductionThe coronavirus (COVID-19) pandemic has caused significant global mortality and impacted lives around the world. Virus Watch aims to provide evidence on which public health approaches are most likely to be effective in reducing transmission and impact of the virus, and will investigate community incidence, symptom profiles and transmission of COVID-19 in relation to population movement and behaviours.Methods and analysisVirus Watch is a household community cohort study of acute respiratory infections in England and Wales and will run from June 2020 to August 2021. The study aims to recruit 50 000 people, including 12 500 from minority ethnic backgrounds, for an online survey cohort and monthly antibody testing using home fingerprick test kits. Nested within this larger study will be a subcohort of 10 000 individuals, including 3000 people from minority ethnic backgrounds. This cohort of 10 000 people will have full blood serology taken between October 2020 and January 2021 and repeat serology between May 2021 and August 2021. Participants will also post self-administered nasal swabs for PCR assays of SARS-CoV-2 and will follow one of three different PCR testing schedules based on symptoms.Ethics and disseminationThis study has been approved by the Hampstead National Health Service (NHS) Health Research Authority Ethics Committee (ethics approval number 20/HRA/2320). We are monitoring participant queries and using these to refine methodology where necessary, and are providing summaries and policy briefings of our preliminary findings to inform public health action by working through our partnerships with our study advisory group, Public Health England, NHS and government scientific advisory panels.

scholarly journals Time to dismiss the idea of a structural fix within government? An analysis of intersectoral action for health in Danish municipalities

2018 ◽  
Vol 46 (22_suppl) ◽  
pp. 48-57 ◽  
Author(s):  
Ditte H. Holt ◽  
Gemma Carey ◽  
Morten H. Rod
Keyword(s):  
Public Health ◽  
Boundary Spanning ◽  
Governance Structures ◽  
Intersectoral Action ◽  
Structural Reorganization ◽  
Organizational Boundaries ◽  
Public Health Action ◽  
Process Consulting ◽  
Health Action

Aims: This paper examines the role of organizational structure within government(s) in attempts to implement intersectoral action for health in Danish municipalities. We discuss the implications of structural reorganization and the governance structures that are established in order to ensure coordination and integration between policy sectors. Methods: The paper is based on 49 interviews with civil servants from health and non-health sectors of 10 municipalities. Based on participants’ experiences, cases have been described and analyzed in an iterative process consulting the literature on Health in All Policies and joined-up government. Results: Continuous and frequent processes of reorganizing were widespread in the municipalities. However, they appeared to have little effect on policy change. The two most common governance structures established to transcend organizational boundaries were the central unit and the intersectoral committee. According to the experiences of participants, paradoxically both of these organizational solutions tend to reproduce the organizational problems they are intended to overcome. Even if structural reorganization may succeed in dissolving some sector boundaries, it will inevitably create new ones. Conclusions: It is time to dismiss the idea that intersectoral action for health can be achieved by means of a structural fix. Rather than rearranging organizational boundaries it may be more useful to seek to manage the silos which exist in any organization, e.g. by promoting awareness of their implications for public health action and by enhancing the boundary spanning skills of public health officers.

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