e.g. mhealth
Search Results (1 to 10 of 85 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 18 JMIR mHealth and uHealth
- 16 JMIR Research Protocols
- 13 JMIR Formative Research
- 13 JMIR Public Health and Surveillance
- 9 Journal of Medical Internet Research
- 5 JMIR Medical Informatics
- 4 JMIRx Med
- 2 JMIR Human Factors
- 1 JMIR AI
- 1 JMIR Biomedical Engineering
- 1 JMIR Pediatrics and Parenting
- 1 JMIR Serious Games
- 1 Online Journal of Public Health Informatics
- 0 Medicine 2.0
- 0 Interactive Journal of Medical Research
- 0 iProceedings
- 0 JMIR Mental Health
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Medical Education
- 0 JMIR Cancer
- 0 JMIR Challenges
- 0 JMIR Diabetes
- 0 JMIR Data
- 0 JMIR Cardio
- 0 Journal of Participatory Medicine
- 0 JMIR Dermatology
- 0 JMIR Aging
- 0 JMIR Perioperative Medicine
- 0 JMIR Nursing
- 0 JMIRx Bio
- 0 JMIR Infodemiology
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 JMIR XR and Spatial Computing (JMXR)
This is the authors’ response to peer-review reports for “Improving Tuberculosis Detection in Chest X-Ray Images Through Transfer Learning and Deep Learning: Comparative Study of Convolutional Neural Network Architectures.”
The paper [2] presents a comprehensive overview of the methods and results but can benefit from clearer transitions between sections. For instance, adding brief connecting sentences at the end of each section would help guide the reader into the next topic.
JMIRx Med 2025;6:e77221
Download Citation: END BibTex RIS
This is a peer-review report for “Improving Tuberculosis Detection in Chest X-Ray Images Through Transfer Learning and Deep Learning: Comparative Study of Convolutional Neural Network Architectures.”
The manuscript [1] presents a study that evaluates the performance of various convolutional neural network architectures—namely, VGG16, VGG19, Res Net50, Res Net101, Res Net152, and Inception-Res Net-V2—in classifying chest x-ray images to detect tuberculosis (TB).
JMIRx Med 2025;6:e77174
Download Citation: END BibTex RIS
This is a peer-review report for “Improving Tuberculosis Detection in Chest X-Ray Images Through Transfer Learning and Deep Learning: Comparative Study of Convolutional Neural Network Architectures.”
The paper [1] presents a comprehensive overview of the methods and results but can benefit from clearer transitions between sections. For instance, adding brief connecting sentences at the end of each section would help guide the reader into the next topic.
JMIRx Med 2025;6:e77171
Download Citation: END BibTex RIS
Tuberculosis (TB) remains one of the leading infectious diseases worldwide, affecting an estimated one-third to one-fourth of the global population with the bacillus Mycobacterium tuberculosis, the causative agent of TB [1]. In 2019, it was estimated that over 10 million individuals globally contracted TB; yet, only 71% were detected, diagnosed, and reported through various countries’ national TB programs, leaving approximately 29% of cases unreported [2].
JMIRx Med 2025;6:e66029
Download Citation: END BibTex RIS
Tuberculosis (TB) is one of the major global health challenges that could be managed through prompt diagnosis and treatment initiation. An estimated 10.6 million people became ill, and 1.6 million people died from TB in 2021 [1]. Despite international efforts, the burden of disease remains uncontrolled in many of the most fragile communities around the world.
JMIR Public Health Surveill 2025;11:e68355
Download Citation: END BibTex RIS
Understanding Providers’ Attitude Toward AI in India’s Informal Health Care Sector: Survey Study
Tuberculosis (TB) remains a significant global health challenge, with over 80% of reported cases and deaths originating from low- and middle-income countries (LMICs) worldwide [1]. Among these countries, India shoulders a substantial burden, accounting for a quarter of all TB cases and resulting in approximately 89,000 deaths in the year 2019 alone [2]. The COVID-19 pandemic further worsened these global inequalities, particularly by disrupting TB diagnostic and treatment services [3,4].
JMIR Form Res 2025;9:e54156
Download Citation: END BibTex RIS
The End TB Strategy envisions a world free of tuberculosis (TB), with zero deaths, disease, and suffering due to TB by 2035 [1]. In 2022, an estimated 10.6 million new cases were reported, while 1.6 million people died from TB worldwide [2]. Although effective treatments for TB disease have existed for over 50 years, nonadherence to medication remains a common problem among patients and poses a significant obstacle to achieving the goals of the End TB Strategy [1,3].
JMIR Mhealth Uhealth 2025;13:e57991
Download Citation: END BibTex RIS
The findings from this review will inform the development of national and global guidance on the maintenance of services for HIV/AIDS, tuberculosis, and malaria during public health emergencies.
What interventions have been implemented to maintain the delivery of HIV/AIDS, tuberculosis, and malaria services during public health emergencies in low- and middle-income countries?
JMIR Res Protoc 2025;14:e64316
Download Citation: END BibTex RIS
Previously published studies in India have revealed tuberculosis and malignancy to be common causes of exudative pleural effusion in India [2-5]. The implications of tuberculosis and malignancy being the cause of pleural effusion are strikingly different. The diagnosis of tubercular pleural effusion (TPE) indicates a potentially curable disease. In contrast, a malignant pleural effusion (MPE) is evidence of an advanced stage of malignancy with incurability and a poor prognosis [6].
JMIR Res Protoc 2024;13:e56592
Download Citation: END BibTex RIS
Tuberculosis (TB), a chronic infectious disease, has been endangering human health over the years. In Europe, in the 17th and 18th centuries, TB was known as the “white plague,” infecting almost 100% of the population and killing 25% of the population [1,2]. As one of the high-burden countries, Chinese TB control still needs to be strengthened [3]. Over the years, TB incidence has shown a downward trend year by year.
JMIR Public Health Surveill 2024;10:e49123
Download Citation: END BibTex RIS