Bibliometric analysis of ChatGPT in medicine

Abstract

Introduction

The emergence of artificial intelligence (AI) chat programs has opened two distinct paths, one enhancing interaction and another potentially replacing personal understanding. Ethical and legal concerns arise due to the rapid development of these programs. This paper investigates academic discussions on AI in medicine, analyzing the context, frequency, and reasons behind these conversations.

Methods

The study collected data from the Web of Science database on articles containing the keyword “ChatGPT” published from January to September 2023, resulting in 786 medically related journal articles. The inclusion criteria were peer-reviewed articles in English related to medicine.

Results

The United States led in publications (38.1%), followed by India (15.5%) and China (7.0%). Keywords such as “patient” (16.7%), “research” (12%), and “performance” (10.6%) were prevalent. The Cureus Journal of Medical Science (11.8%) had the most publications, followed by the Annals of Biomedical Engineering (8.3%). August 2023 had the highest number of publications (29.3%), with significant growth between February to March and April to May. Medical General Internal (21.0%) was the most common category, followed by Surgery (15.4%) and Radiology (7.9%).

Discussion

The prominence of India in ChatGPT research, despite lower research funding, indicates the platform’s popularity and highlights the importance of monitoring its use for potential medical misinformation. China’s interest in ChatGPT research suggests a focus on Natural Language Processing (NLP) AI applications, despite public bans on the platform. Cureus’ success in publishing ChatGPT articles can be attributed to its open-access, rapid publication model. The study identifies research trends in plastic surgery, radiology, and obstetric gynecology, emphasizing the need for ethical considerations and reliability assessments in the application of ChatGPT in medical practice.

Conclusion

ChatGPT’s presence in medical literature is growing rapidly across various specialties, but concerns related to safety, privacy, and accuracy persist. More research is needed to assess its suitability for patient care and implications for non-medical use. Skepticism and thorough review of research are essential, as current studies may face retraction as more information emerges.

Democratic quality and excess mortality during the COVID-19 pandemic

Abstract

The aim of this study is to analyse the relationship between democratic quality and excess mortality produced in the year 2020 before COVID-19 vaccinations were generalised. Using cross-sectional data from 80 countries on five continents, multiple linear regression models between excess mortality, the general democracy index and its disaggregation into five categories: electoral process and pluralism, government functioning, political participation, political culture and civil liberties were estimated. The analysis also considered, public health spending per capita, overweight inhabitants, the average temperature of the country, population over 65 years of age, The KOF Globalisation Index, and the Gross National Income per capita as control variables. It was possible to establish a strong inverse association between excess mortality per million inhabitants and the general democracy index and four of its five categories. There was a particularly strong relationship between excess mortality and the political culture dimension (−326.50, p < 0.001). The results suggest that the higher the democratic quality of the political institutions of a State and particularly of their political culture the more improved the response and management of the pandemic was in preventing deaths and protecting their citizens more effectively. Conversely, countries with lower democracy index values have higher excess mortality. Quality democratic political institutions provide more effective public health policies in the face of the COVID-19 pandemic.

Democratic quality and excess mortality during the COVID-19 pandemic

Abstract

The aim of this study is to analyse the relationship between democratic quality and excess mortality produced in the year 2020 before COVID-19 vaccinations were generalised. Using cross-sectional data from 80 countries on five continents, multiple linear regression models between excess mortality, the general democracy index and its disaggregation into five categories: electoral process and pluralism, government functioning, political participation, political culture and civil liberties were estimated. The analysis also considered, public health spending per capita, overweight inhabitants, the average temperature of the country, population over 65 years of age, The KOF Globalisation Index, and the Gross National Income per capita as control variables. It was possible to establish a strong inverse association between excess mortality per million inhabitants and the general democracy index and four of its five categories. There was a particularly strong relationship between excess mortality and the political culture dimension (−326.50, p < 0.001). The results suggest that the higher the democratic quality of the political institutions of a State and particularly of their political culture the more improved the response and management of the pandemic was in preventing deaths and protecting their citizens more effectively. Conversely, countries with lower democracy index values have higher excess mortality. Quality democratic political institutions provide more effective public health policies in the face of the COVID-19 pandemic.

Early Career Academic’s Associations: A Study of Resistance and Empowerment on Social Media

Abstract

The current Spanish higher education landscape (characterized by evaluations, overcrowding of classrooms, commitment to internationalization) has social, employment, and health repercussions for Early Career Academics (ECAs). However, this group of academics is often described as passive subjects when it comes to challenging the current situation in higher education. In this study, we sought to understand the attitudes of resistance and criticism in ECAs by analyzing the activity (through NodeXL) and content (through Nvivo12) of the Twitter accounts of two Spanish ECA associations. Twitter (now X) was selected since social media has emerged as a new form of social empowerment and democratization. It is concluded that there are attitudes of resistance among the accounts analyzed. However, for ECAs, criticism of the evaluation system and emphasis on scientific production is relegated to the background, with criticism of their working conditions taking priority. Finally, we highlight the significant and impactful role of associations in social and political struggles.

Early Career Academic’s Associations: A Study of Resistance and Empowerment on Social Media

Abstract

The current Spanish higher education landscape (characterized by evaluations, overcrowding of classrooms, commitment to internationalization) has social, employment, and health repercussions for Early Career Academics (ECAs). However, this group of academics is often described as passive subjects when it comes to challenging the current situation in higher education. In this study, we sought to understand the attitudes of resistance and criticism in ECAs by analyzing the activity (through NodeXL) and content (through Nvivo12) of the Twitter accounts of two Spanish ECA associations. Twitter (now X) was selected since social media has emerged as a new form of social empowerment and democratization. It is concluded that there are attitudes of resistance among the accounts analyzed. However, for ECAs, criticism of the evaluation system and emphasis on scientific production is relegated to the background, with criticism of their working conditions taking priority. Finally, we highlight the significant and impactful role of associations in social and political struggles.

Compromised values: a comparative response during the COVID-19 crisis by ethical vegans and vegetarians

Abstract

Animal advocacy is a complex phenomenon. As a social movement encompassing diverse moral stances and lifestyle choices, veganism and vegetarianism (veg*) are at its core, and animal testing raises as a notably contentious issue within its members. This paper addresses this critical topic. Employing data from an international quantitative survey conducted between June and July 2021, our research explores how ethical vegans and vegetarians responded during the COVID-19 crisis. By comparing the experiences and choices between the two groups, we aimed to understand the variances in attitudes and behaviors in the face of an ethical dilemma, highlighting the interplay between personal beliefs and social pressures in times of a health crisis. Our findings reveal stark contrasts in how vegans and vegetarians navigated the pandemic; vegans displayed less conformity yet experienced a significant compromise of their ethical values, particularly in their overwhelming acceptance of vaccination. This study enhances the field of veg* research and social movement studies by exploring how a social crisis shapes members’ behaviors and perspectives. Our findings also contribute to a better understanding of the challenges and prejudices that a minority group such as vegans may face and how they cope with the pressure to go against the mainstream at a time when society is polarized by a single discourse that goes against their moral values.

Compromised values: a comparative response during the COVID-19 crisis by ethical vegans and vegetarians

Abstract

Animal advocacy is a complex phenomenon. As a social movement encompassing diverse moral stances and lifestyle choices, veganism and vegetarianism (veg*) are at its core, and animal testing raises as a notably contentious issue within its members. This paper addresses this critical topic. Employing data from an international quantitative survey conducted between June and July 2021, our research explores how ethical vegans and vegetarians responded during the COVID-19 crisis. By comparing the experiences and choices between the two groups, we aimed to understand the variances in attitudes and behaviors in the face of an ethical dilemma, highlighting the interplay between personal beliefs and social pressures in times of a health crisis. Our findings reveal stark contrasts in how vegans and vegetarians navigated the pandemic; vegans displayed less conformity yet experienced a significant compromise of their ethical values, particularly in their overwhelming acceptance of vaccination. This study enhances the field of veg* research and social movement studies by exploring how a social crisis shapes members’ behaviors and perspectives. Our findings also contribute to a better understanding of the challenges and prejudices that a minority group such as vegans may face and how they cope with the pressure to go against the mainstream at a time when society is polarized by a single discourse that goes against their moral values.

Mechanisms of climate change impacts on vegetation and prediction of changes on the Loess Plateau, China

Abstract

Monitoring and forecasting the spatiotemporal dynamics of vegetation across the Loess Plateau emerge as critical endeavors for environmental conservation, resource management, and strategic decision-making processes. Despite the swift advances in deep learning techniques for spatiotemporal prediction, their deployment for future vegetation forecasting remains underexplored. This investigation delves into vegetation alterations on the Loess Plateau from March 2000 to February 2023, employing fractional vegetation cover (FVC) as a metric, and scrutinizes its spatiotemporal interplay with precipitation and temperature. The introduction of a convolutional long short-term memory network enhanced by an attention mechanism (CBAM-ConvLSTM) aims to forecast vegetation dynamics on the Plateau over the ensuing 4 years, leveraging historical data on FVC, precipitation, and temperature. Findings revealed an ascending trajectory in the maximum annual FVC at a pace of 0.42% per annum, advancing from southeast to northwest, alongside a monthly average FVC increment at 0.02% per month. The principal driver behind FVC augmentation was identified as the growth season FVC surge in warm-temperate semi-arid and temperate semi-arid locales. Precipitation maintained a robust positive long-term association with FVC (Pearson coefficient > 0.7), whereas the temperature–FVC nexus displayed more variability, with periodic complementary trends. The CBAM-ConvLSTM framework, integrating FVC, precipitation, and temperature data, showcased commendable predictive accuracy. Future projections anticipate ongoing greening within the warm-temperate semi-arid region, contrasted by significant browning around the Loess Plateau’s peripheries. This research lays the groundwork for employing deep learning in the simulation of vegetation’s spatiotemporal dynamics.

Solar-Induced Chlorophyll Fluorescence (SIF): Towards a Better Understanding of Vegetation Dynamics and Carbon Uptake in Arctic-Boreal Ecosystems

Abstract

Purpose of Review

Terrestrial ecosystems in the Arctic-Boreal region play a crucial role in the global carbon cycle as a carbon sink. However, rapid warming in this region induces uncertainties regarding the future net carbon exchange between land and the atmosphere, highlighting the need for better monitoring of the carbon fluxes. Solar-Induced chlorophyll Fluorescence (SIF), a good proxy for vegetation CO \(^{2}\) uptake, has been broadly utilized to assess vegetation dynamics and carbon uptake at the global scale. However, the full potential and limitations of SIF in the Arctic-Boreal region have not been explored. Therefore, this review aims to provide a comprehensive summary of the latest insights into Arctic-Boreal carbon uptake through SIF analyses, underscoring the advances and challenges of SIF in solving emergent unknowns in this region. Additionally, this review proposes applications of SIF across scales in support of other observational and modeling platforms for better understanding Arctic-Boreal vegetation dynamics and carbon fluxes.

Recent Findings

Cross-scale SIF measurements complement each other, offering valuable perspectives on Arctic-Boreal ecosystems, such as vegetation phenology, carbon uptake, carbon-water coupling, and ecosystem responses to disturbances. By incorporating SIF into land surface modeling, the understanding of Arctic-Boreal changes and their climate drivers can be mechanistically enhanced, providing critical insights into the changes of Arctic-Boreal ecosystems under global warming.

Summary

While SIF measurements are more abundant and with finer spatiotemporal resolutions, it is important to note that the coverage of these measurements is still limited and uneven in the Arctic-Boreal region. To address this limitation and further advance our understanding of the Arctic-Boreal carbon cycle, this review advocates for fostering a SIF network providing long-term and continuous measurements across spatial scales. Simultaneously measuring SIF and other environmental variables in the context of a multi-modal sensing system can help us comprehensively characterize Arctic-Boreal ecosystems with spatial details in land surface models, ultimately contributing to more robust climate projections.

Improving the probabilistic drought prediction with soil moisture information under the ensemble streamflow prediction framework

Abstract

Reliable drought prediction should be preceded to prevent damage from potential droughts. In this context, this study developed a hydrological drought prediction method, namely ensemble drought prediction (EDP) to reflect drought-related information under the ensemble streamflow prediction framework. After generating an ensemble of standardized runoff index by converting the ensemble of generated streamflow, the results were adopted as the prior distribution. Then, precipitation forecast and soil moisture were used to update the prior EDP. The EDP + A model included the precipitation forecast with the PDF-ratio method, and the observed soil moisture index was reflected in the former EDP and EDP + A via Bayes’ theorem, resulting in the EDP + S and EDP + AS models. Eight basins in Korea with more than 30 years of observation data were applied with the proposed methodology. As a result, the overall performance of the four EDP models yielded improved results than the climatological prediction. Moreover, reflecting soil moisture yielded improved evaluation metrics during short-term drought predictions, and in basins with larger drainage areas. Finally, the methodology presented in this study was more effective during periods with less intertemporal variabilities.