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Background information: The explanation of the global tuberculosis (TB) burden is informative, but it could benefit from briefly mentioning current limitations in artificial intelligence–based TB detection in developing countries.Motivation clarification: Ensure that the motivation for choosing specific convolutional neural network architectures is clearly linked to gaps in existing literature.
JMIRx Med 2025;6:e77221
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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). The authors compare the models’ classification accuracy, precision, recall, F1-score, and area under the receiver operating characteristic curve, concluding that VGG16 outperforms the others with high accuracy and efficiency.
JMIRx Med 2025;6:e77174
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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
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In a previous study [8], we showed that the burden of TB could be accurately predicted in rural environments of the Democratic Republic of the Congo by integrating historical disease notification, distance of villages to the nearest health care center, and proximity to mining activities.
Africa accounted for a quarter of all new TB cases worldwide in 2022 and has been at the center of many efforts to eradicate TB [1].
JMIR Public Health Surveill 2025;11:e68355
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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
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Reference 1: TB disease burden(https://www.who.int/teams/global-tuberculosis-programme/tb-reports/global-tuberculosis-report -2023/tb-disease-burden)tb
J Med Internet Res 2024;26:e58413
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An estimated 10.6 million people (133 per 100,000 population) were diagnosed with tuberculosis (TB) in the year 2022 which is an increase from the 10.3 million new cases reported in 2021 [1]. The number of deaths caused by TB in 2022 is estimated to be about 1.3 million [1].
JMIR Form Res 2024;8:e55641
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Tuberculosis (TB) is a significant public health problem and the second leading infectious killer after COVID-19 [1]. The World Health Organization has set a target in its “end TB strategy” to reduce TB deaths by 75% in 2025 and 90% in 2030 [2]. Tanzania is among the 30 countries with high TB burden and is estimated to have had a TB incidence of 208 per 100,000 persons and 1.3% of multidrug-resistant TB cases in 2021 [1]. In 2020, Tanzania reported that about 26,800 people died from TB [3].
Online J Public Health Inform 2024;16:e51662
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Tuberculosis (TB) poses an escalating public health threat, particularly in lower- and middle-income countries [1]. The World Health Organization estimates that approximately one-fourth of the world's population has been infected with TB-causing bacteria [2], with 10.6 million individuals diagnosed with TB in 2021, leading to 1.6 million deaths [1].
JMIR Public Health Surveill 2024;10:e53948
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