Artificial Intelligence in Global Health

2019 ◽  
Vol 33 (02) ◽  
pp. 181-192 ◽  
Author(s):  
Sara E. Davies
Keyword(s):  
Artificial Intelligence ◽  
Global Health ◽  
Large Scale ◽  
Minority Groups ◽  
Outbreak Detection ◽  
Influenza Surveillance ◽  
Influenza Outbreak ◽  
Media Communications ◽  
The Right ◽  
Real Time Information

AbstractArtificial intelligence (AI) is reaching into every aspect of global health. In this essay, I examine one example of AI's potential contributions and limitations in global health: the prediction, treatment, and containment of a global influenza outbreak. The potential advantages are clear. AI can aid global influenza surveillance platforms by improving the capacity of organizations to look for novel influenza outbreak strains in the right places, to identify populations most likely to spread influenza, and to produce real-time information about the disease's spread by monitoring social media communications to track outbreak events. There are also very real limitations to what AI can do, and it is crucial that AI not be used as an excuse not to invest in strengthening health systems and other traditional components of global healthcare. AI may also be able to improve our understanding of who should receive a vaccine and what is most effective for large-scale vaccine delivery, but there will always be blind spots that the data cannot fill. Investment in healthcare, with attention to the danger of minimal access to care for minority groups that are at risk and in fragile situations, remains the best chance to prepare communities for outbreak detection, surveillance, and containment.

scholarly journals Schengen and the Administration of Exclusion: Legal Remedies Caught in between Entry Bans, Risk Assessment and Artificial Intelligence

2021 ◽  
Vol 23 (4) ◽  
pp. 485-507
Author(s):  
Evelien Brouwer
Keyword(s):  
Artificial Intelligence ◽  
Risk Assessment ◽  
Information System ◽  
Large Scale ◽  
Case Law ◽  
Public Order ◽  
Security Risk ◽  
Legal Remedies ◽  
The Right ◽  
Judicial Protection

Abstract To create an area in which persons can move freely, the Schengen states committed to control their external borders to prevent irregular immigration and the entry of third-country nationals (TCN s) who are considered to be ‘a public order and security risk’. The exclusion of ‘unwanted aliens’ can be based on the mutual enforcement of national decisions, such as entry bans reported in the Schengen Information System, or objections against the issuing of a Schengen visa, based on the consultation procedure in the Visa Code. This contribution focuses on the right of TCN s to have access to effective remedies, both with regard to existing and newer mechanisms of exclusion. It argues that when dealing with the use of large-scale databases and risk assessment as basis for excluding admission, existing rules and case-law by the CJEU should be taken into account to ensure access to effective judicial protection for TCN s.

A Method for Measuring Weld Bead in Grinding and Polishing Process

2014 ◽  
Vol 496-500 ◽  
pp. 1489-1493
Author(s):  
Jun Zhao ◽  
Ji Zhao ◽  
Lei Zhang ◽  
Cheng Fan ◽  
Fei Fei Han
Keyword(s):  
Spatial Data ◽  
Large Scale ◽  
Search Algorithm ◽  
Weld Bead ◽  
Feature Line ◽  
Accuracy Of Measurement ◽  
The Right ◽  
Real Time Information ◽  
Single Pixel ◽  
Grinding And Polishing

Getting the real-time information of spatial data, height and length of weld bead is the key point during the process of grinding and polishing large-scale part. To tackle this problem, a robot visual system is completed by building the double CCD and the laser on the mobile robot. Combining the image search algorithm with the image preprocessing algorithm in time domain, the laser single pixel feature line is obtained. The positions of each point in feature line are optimized by curve fitting so that the right spatial data and dimension are obtained. The result shows the proposed method can provides the precise information of weld bead, and the accuracy of measurement is within 0.15mm, as steady as repeatability.

scholarly journals Possibilities of Limiting the Protection of Large-Scale Investments in Farmland

2020 ◽  
Vol 21 (6) ◽  
pp. 1198-1227
Author(s):  
Zoe Cometti
Keyword(s):  
Adverse Effects ◽  
Public Interest ◽  
Large Scale ◽  
Minority Groups ◽  
International Investment ◽  
International Investment Law ◽  
The Public ◽  
Investment Treaty ◽  
Treaty Reform ◽  
The Right

AbstractLarge-scale investments in farmland can generate adverse effects on food security, minority groups, and the environment. Consequently, this Article analyzes to what extent international investment law has the potential to prevent those effects, considering the current investment treaty reform towards a symmetrical mechanism promoting sustainable development. First this Article presents the current substantive standard on expropriation of large-scale investments in farmland and the regulatory space left for host states. This Article then frames a potential public interest clause that would have the effect of granting due protection to investors and the right to regulate to host states, while not undermining the public interest and also preventing the adverse effects of these investments.

scholarly journals Addressing Fairness, Bias, and Appropriate Use of Artificial Intelligence and Machine Learning in Global Health

2021 ◽  
Vol 3 ◽  
Author(s):  
Richard Ribón Fletcher ◽  
Audace Nakeshimana ◽  
Olusubomi Olubeko
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Health Care ◽  
Global Health ◽  
Minority Groups ◽  
Target Population ◽  
Local Context ◽  
Local Health ◽  
Middle Income ◽  
The Impact

In Low- and Middle- Income Countries (LMICs), machine learning (ML) and artificial intelligence (AI) offer attractive solutions to address the shortage of health care resources and improve the capacity of the local health care infrastructure. However, AI and ML should also be used cautiously, due to potential issues of fairness and algorithmic bias that may arise if not applied properly. Furthermore, populations in LMICs can be particularly vulnerable to bias and fairness in AI algorithms, due to a lack of technical capacity, existing social bias against minority groups, and a lack of legal protections. In order to address the need for better guidance within the context of global health, we describe three basic criteria (Appropriateness, Fairness, and Bias) that can be used to help evaluate the use of machine learning and AI systems: 1) APPROPRIATENESS is the process of deciding how the algorithm should be used in the local context, and properly matching the machine learning model to the target population; 2) BIAS is a systematic tendency in a model to favor one demographic group vs another, which can be mitigated but can lead to unfairness; and 3) FAIRNESS involves examining the impact on various demographic groups and choosing one of several mathematical definitions of group fairness that will adequately satisfy the desired set of legal, cultural, and ethical requirements. Finally, we illustrate how these principles can be applied using a case study of machine learning applied to the diagnosis and screening of pulmonary disease in Pune, India. We hope that these methods and principles can help guide researchers and organizations working in global health who are considering the use of machine learning and artificial intelligence.

Why Has There Been No People’s Power Rebellion in North Korea?

2018 ◽  
pp. 1-34
Author(s):  
Andrew Jackson
Keyword(s):  
Rural Areas ◽  
North Korea ◽  
Large Scale ◽  
Political Elite ◽  
Information Control ◽  
Al Jazeera ◽  
The North ◽  
New Information ◽  
Effective System ◽  
The Right

One scenario put forward by researchers, political commentators and journalists for the collapse of North Korea has been a People’s Power (or popular) rebellion. This paper analyses why no popular rebellion has occurred in the DPRK under Kim Jong Un. It challenges the assumption that popular rebellion would happen because of widespread anger caused by a greater awareness of superior economic conditions outside the DPRK. Using Jack Goldstone’s theoretical expla-nations for the outbreak of popular rebellion, and comparisons with the 1989 Romanian and 2010–11 Tunisian transitions, this paper argues that marketi-zation has led to a loosening of state ideological control and to an influx of infor-mation about conditions in the outside world. However, unlike the Tunisian transitions—in which a new information context shaped by social media, the Al-Jazeera network and an experience of protest helped create a sense of pan-Arab solidarity amongst Tunisians resisting their government—there has been no similar ideology unifying North Koreans against their regime. There is evidence of discontent in market unrest in the DPRK, although protests between 2011 and the present have mostly been in defense of the right of people to support themselves through private trade. North Koreans believe this right has been guaranteed, or at least tacitly condoned, by the Kim Jong Un government. There has not been any large-scale explosion of popular anger because the state has not attempted to crush market activities outright under Kim Jong Un. There are other reasons why no popular rebellion has occurred in the North. Unlike Tunisia, the DPRK lacks a dissident political elite capable of leading an opposition movement, and unlike Romania, the DPRK authorities have shown some flexibility in their anti-dissent strategies, taking a more tolerant approach to protests against economic issues. Reduced levels of violence during periods of unrest and an effective system of information control may have helped restrict the expansion of unrest beyond rural areas.

White Backlash

2015 ◽  
Author(s):  
Marisa Abrajano ◽  
Zoltan L. Hajnal
Keyword(s):  
Ethnic Diversity ◽  
Republican Party ◽  
Large Scale ◽  
White Americans ◽  
Political Beliefs ◽  
White Backlash ◽  
Political Spectrum ◽  
Racial Divide ◽  
The Right ◽  
Political Backlash

This book provides an authoritative assessment of how immigration is reshaping American politics. Using an array of data and analysis, it shows that fears about immigration fundamentally influence white Americans' core political identities, policy preferences, and electoral choices, and that these concerns are at the heart of a large-scale defection of whites from the Democratic to the Republican Party. The book demonstrates that this political backlash has disquieting implications for the future of race relations in America. White Americans' concerns about Latinos and immigration have led to support for policies that are less generous and more punitive and that conflict with the preferences of much of the immigrant population. America's growing racial and ethnic diversity is leading to a greater racial divide in politics. As whites move to the right of the political spectrum, racial and ethnic minorities generally support the left. Racial divisions in partisanship and voting, as the book indicates, now outweigh divisions by class, age, gender, and other demographic measures. The book raises critical questions and concerns about how political beliefs and future elections will change the fate of America's immigrants and minorities, and their relationship with the rest of the nation.

Evaluation of Ovaries in Patients with Polycystic Ovary Syndrome using Shear Wave Elastography

2020 ◽  
Vol 16 (5) ◽  
pp. 578-583
Author(s):  
Aysegul Altunkeser ◽  
Zeynep Ozturk Inal ◽  
Nahide Baran
Keyword(s):  
Shear Wave ◽  
Large Scale ◽  
Polycystic Ovary ◽  
Shear Wave Elastography ◽  
Left Ovary ◽  
Control Group ◽  
Tissue Elasticity ◽  
Group I ◽  
Pcos Group ◽  
The Right

Background: Shear wave electrography (SWE) is a novel non-invasive imaging technique which demonstrate tissue elasticity. Recent research evaluating the elasticity properties of normal and pathological tissues emphasize the diagnostic importance of this technique. Aims: Polycystic ovarian syndrome (PCOS), which is characterized by menstrual irregularity, hyperandrogenism, and polycystic overgrowth, may cause infertility. The aim of this study was to evaluate the elasticity of ovaries in patients with PCOS using SWE. Methods: 66 patients diagnosed with PCOS according to the Rotterdam criteria (PCOS = group I) and 72 patients with non-PCOS (Control = group II), were included in the study. Demographic and clinical characteristics of the participants were recorded. Ovarian elasticity was assessed in all patients with SWE, and speed values were obtained from the ovaries. The elasticity of the ovaries was compared between the two groups. Results: While there were statistically significant differences between the groups in body mass index (BMI), right and left ovarian volumes, luteinizing hormone and testosterone levels (p<0.05), no significant differences were found between groups I and II in the velocity (for the right ovary 3.89±1.81 vs. 2.93±0.72, p=0.301; for the left ovary 2.88±0.65 vs. 2.95±0.80, p=0.577) and elastography (for the right ovary 36.62±17.78 vs. 36.79±14.32, p=0.3952; for the left ovary 36.56±14.15 vs. 36.26±15.10, p=0.903) values, respectively. Conclusion: We could not obtain different velocity and elastography values from the ovaries of the patients with PCOS using SWE. Therefore, further large-scale studies are needed to elucidate this issue.

The Origins of Human Rights in Global Health

2018 ◽  
Author(s):  
Lawrence O. Gostin ◽  
Benjamin Mason Meier
Keyword(s):  
Public Health ◽  
Human Rights ◽  
World War Ii ◽  
Global Health ◽  
International Law ◽  
Right To Health ◽  
Right To Health Care ◽  
Global Standards ◽  
The Right

This chapter introduces the foundational importance of human rights for global health, providing a theoretical basis for the edited volume by laying out the role of human rights under international law as a normative basis for public health. By addressing public health harms as human rights violations, international law has offered global standards by which to frame government responsibilities and evaluate health practices, providing legal accountability in global health policy. The authors trace the historical foundations for understanding the development of human rights and the role of human rights in protecting and promoting health since the end of World War II and the birth of the United Nations. Examining the development of human rights under international law, the authors introduce the right to health as an encompassing right to health care and underlying determinants of health, exploring this right alongside other “health-related human rights.”

scholarly journals BattleNet: Capturing Advantageous Battlefield in RTS Games (Student Abstract)

2020 ◽  
Vol 34 (10) ◽  
pp. 13849-13850
Author(s):  
Donghyeon Lee ◽  
Man-Je Kim ◽  
Chang Wook Ahn
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Real Time ◽  
Large Scale ◽  
Outcome Predictor ◽  
Short Term ◽  
Rts Game

In a real-time strategy (RTS) game, StarCraft II, players need to know the consequences before making a decision in combat. We propose a combat outcome predictor which utilizes terrain information as well as squad information. For training the model, we generated a StarCraft II combat dataset by simulating diverse and large-scale combat situations. The overall accuracy of our model was 89.7%. Our predictor can be integrated into the artificial intelligence agent for RTS games as a short-term decision-making module.

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