Background: Due to the widespread and unprecedented popularity of mobile phones, the use of digital medicine and mobile health apps has seen significant growth. Mobile health apps have tremendous potential for monitoring and treating diseases, improving patient care, and promoting health. Objective: This paper aims to explore research trends, coauthorship networks, and the research hot spots of mobile health app research. Methods: Publications related to mobile health apps were retrieved and extracted from the Web of Science database with no language restrictions. Bibliographic Item Co-Occurrence Matrix Builder was employed to extract bibliographic information (publication year and journal source) and perform a descriptive analysis. We then used the VOSviewer (Leiden University) tool to construct and visualize the co-occurrence networks of researchers, research institutions, countries/regions, citations, and keywords. Results: We retrieved 2802 research papers on mobile health apps published from 2000 to 2019. The number of annual publications increased over the past 19 years. JMIR mHealth and uHealth (323/2802, 11.53%), Journal of Medical Internet Research (106/2802, 3.78%), and JMIR Research Protocols (82/2802, 2.93%) were the most common journals for these publications. The United States (1186/2802, 42.33%), England (235/2802, 8.39%), Australia (215/2802, 7.67%), and Canada (112/2802, 4.00%) were the most productive countries of origin. The University of California San Francisco, the University of Washington, and the University of Toronto were the most productive institutions. As for the authors’ contributions, Schnall R, Kuhn E, Lopez-Coronado M, and Kim J were the most active researchers. The co-occurrence cluster analysis of the top 100 keywords forms 5 clusters: (1) the technology and system development of mobile health apps; (2) mobile health apps for mental health; (3) mobile health apps in telemedicine, chronic disease, and medication adherence management; (4) mobile health apps in health behavior and health promotion; and (5) mobile health apps in disease prevention via the internet. Conclusions: We summarize the recent advances in mobile health app research and shed light on their research frontier, trends, and hot topics through bibliometric analysis and network visualization. These findings may provide valuable guidance on future research directions and perspectives in this rapidly developing field.

To investigate the efficacy and safety of 0.01% atropine (AT) in combination with different optical treatments for controlling myopia in Chinese children. This retrospective study analyzed 341 Chinese children aged 6-11 years with myopia between -0.50 D and -3.0 D between January 2022 and May 2023. The fast-progressing, myopic children received three optical treatments combined with 0.01 % atropine: 75 children with single-vision spectacles and atropine (SV + AT), 162 children with defocus-incorporated multi-segment spectacles and atropine (DIMS + AT), or 104 children with orthokeratology and atropine (OK + AT). The changes in spherical equivalent refraction (SER), axial length (AL), intraocular pressure (IOP), and amplitude of accommodation (AMP) were observed at 6-month and 1-year intervals. After controlling for baseline variables, at 6 months, the increase in adjusted AL was significantly greater in the SV + AT group than in the DIMS + AT group (difference = 0.13 mm, 95 % CI: 0.07-0.20, P < 0.05) and in the OK + AT group (difference = 0.09 mm, 95 % CI: 0.09-0.17, P < 0.05). A more significant progression in adjusted SER was also observed in the SV + AT group than in the DIMS group (difference = -0.20D, 95 % CI: -0.29 to -0.11, P < 0.05). At 12 months, the greatest increase in adjusted AL was observed in the SV + AT group, with a statistically significant difference of 0.24 mm (95 % CI: 0.19-0.29, P < 0.05) compared with the DIMS group and a difference of 0.19 mm (95 % CI: 0.13-0.25, P < 0.05) compared with the OK + ST group. Similarly, a more significant progression in adjusted SER was observed in the SV + AT group than in the DIMS group (difference = -0.36 D, 95 % CI: -0.48 to -0.24, P < 0.05). This study suggested that 0.01% atropine combined with DIMS or orthokeratology may be viable for controlling low myopia in fast-progressing, myopic children.

According to the World Health Organization (WHO), healthy aging is the process of developing and maintaining the functional capacity for health in old age. A rapidly growing number of research studies on healthy aging have been conducted worldwide. The purpose of this research work is to explore global scientific landscape of healthy aging research over the last 22 years. Scientific publications on healthy aging from January 1, 2000 to October 11, 2022 were retrieved from the Web of Science Core Collection (WoSCC) on October 11, 2022. A total of 6420 publications were included in the scientometric analysis. VOSviewer (1.6.18) was used to conduct scientometric and visualized analysis. The publication growth rate was 35.68 from 2000 to 2021. The United States of America (USA) led in both productivity and citations. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA was prominent in terms of both the highest citation count and the highest average citation count. The National Institute on Aging (NIA) and Evans, Michele K. were the most influential organization and author, respectively. Research hotspots in healthy aging were identified based on the co-occurrence analysis of keywords: (1) physical activity and mental health of older adults; (2) diseases impacting the health and lifespan of older adults; and (3) neuroscience. Our analysis indicates that gut microbiota, loneliness, frailty, mitochondria and resilience were the emerging themes in healthy aging research. The quantity of annual publications on healthy aging has rapidly increased over the past 22 years, especially during 2018–2021. This analysis identified the status, trends, hot topics, and frontiers of healthy aging research. These findings will help researchers quickly understand the global representation of healthy aging research, influence resource dissemination, promote international collaborations, guide policy formulation, and improve health services for older adults.

Background: With the emerging information and communication technology, the field of medical informatics has dramatically evolved in health care and medicine. Thus, it is crucial to explore the global scientific research landscape on medical informatics. Objective: This study aims to present a visual form to clarify the overall scientific research trends of medical informatics in the past decade. Methods: A bibliometric analysis of data retrieved and extracted from the Web of Science Core Collection (WoSCC) database was performed to analyze global scientific research trends on medical informatics, including publication year, journals, authors, institutions, countries/regions, references, and keywords, from January 1, 2011, to December 31, 2020. Results: The data set recorded 34,742 articles related to medical informatics from WoSCC between 2011 and 2020. The annual global publications increased by 193.86% from 1987 in 2011 to 5839 in 2020. Journal of Medical Internet Research (3600 publications and 63,932 citations) was the most productive and most highly cited journal in the field of medical informatics. David W Bates (99 publications), Harvard University (1161 publications), and the United States (12,927 publications) were the most productive author, institution, and country, respectively. The co-occurrence cluster analysis of high-frequency author keywords formed 4 clusters: (1) artificial intelligence in health care and medicine; (2) mobile health; (3) implementation and evaluation of electronic health records; (4) medical informatics technology application in public health. COVID-19, which ranked third in 2020, was the emerging theme of medical informatics. Conclusions: We summarize the recent advances in medical informatics in the past decade and shed light on their publication trends, influential journals, global collaboration patterns, basic knowledge, research hotspots, and theme evolution through bibliometric analysis and visualization maps. These findings will accurately and quickly grasp the research trends and provide valuable guidance for future medical informatics research.

Background: Recently, deep learning has become a popular area of research, and has revolutionized the diagnosis and prediction of ocular diseases, especially fundus diseases. This study aimed to conduct a bibliometric analysis of deep learning in the field of ophthalmology to describe international research trends and examine the current research directions. Methods: This cross-sectional bibliometric analysis examined the development of research on deep learning in the field of ophthalmology and its sub-topics from 2015 to 2024. Visualization of similarities (VOS)-viewer was used to analyze and evaluate 3,055 articles. Data from the articles were collected on a specific date (September 11, 2024) and downloaded from the Web of Science Core Collection (WOSCC) in plain-text format. Results: A total of 3,055 relevant articles on the WOSCC published from 2015 to 2024 were included in this analysis. The first article on the application of deep learning to ophthalmology was published in 2015, and the number of articles on the subject has grown significantly since 2019. China was the most productive country (n=1,187), followed by the United States (n=673). Sun Yat-sen University was the institution with the most publications. Cheng and Bogunovic were the most frequently published authors. The following four different clusters were identified based on a co-occurrence cluster analysis of high-frequency keywords: (I) deep learning for the segmentation and feature extraction of ophthalmic images; (II) deep learning for the automatic detection and classification of ophthalmic images; (III) application of deep learning to ophthalmic imaging techniques; and (IV) deep learning for the diagnosis and management of ophthalmic diseases. Conclusions: The analysis of fundus images and the clinical application of deep learning techniques have emerged as prominent research areas in the field of ophthalmology. The substantial increase in publications and citations signifies the expanding impact and global collaboration in the application of deep learning research to ophthalmology. By identifying four distinct clusters representing sub-topics in deep learning ophthalmology research, this study contributes to the understanding of current trends and potential future advancements in the field.

Background: Organoid technology has achieved a series of pivotal breakthroughs in the early 21st century, driving innovation across life sciences and medicine, and contributing significantly to advancements in human health and medical technologies. This cross-sectional bibliometric analysis aims to examine the development of organoid research from 2000 to 2024. Methods: Literature data were collected on 6 December 2024 and downloaded in plain text from the Science Citation Index Expanded database. Comprehensive bibliometric mapping and analysis were performed using VOSviewer to visualize research networks and thematic developments. Results: In this study, 16 158 organoid publications were retrieved from the SCIE database. There were only 100 organoid studies in 2000, and from 2015 onward, the number of annual publications on this topic began to proliferate, reaching 11 747 from 2019 to 2024, accounting for 72.70% of the total number of publications. The United States ranked first worldwide in both the number of publications and total citations. Among the leading institutions, Harvard University and the University of Washington were among the most prolific. Hans Clevers collaborated with 230 prolific authors and has the most publications. With the use of organoids in cancer modeling, drug screening, and regenerative medicine, organoid technology has attracted much attention in biomedical research, and the significant increase in the number of published papers and citations signifies the expanding influence and global collaboration in the field of organoid research. Conclusion: This study contributes to the understanding of current trends and potential future advances by identifying five distinct clusters in the field.