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Comparing the Output of an Artificial Intelligence Algorithm in Detecting Radiological Signs of Pulmonary Tuberculosis in Digital Chest X-Rays and Their Smartphone-Captured Photos of X-Ray Films: Retrospective Study

Comparing the Output of an Artificial Intelligence Algorithm in Detecting Radiological Signs of Pulmonary Tuberculosis in Digital Chest X-Rays and Their Smartphone-Captured Photos of X-Ray Films: Retrospective Study

Another retrospective study conducted using CXRs from patients from Nepal and Cameroon reported that AI was better than human readers in detecting bacteriologically confirmed TB [9]. An independent evaluation of 12 different AI algorithms for TB detection in adults conducted in Vietnam found an AUC of about 82% for q XR [13]. In an active-case finding program conducted in India using both radiologists and q XR for CXR screening, a 15% increase in TB yield was found to be attributable to q XR [2].

Smriti Ridhi, Dennis Robert, Pitamber Soren, Manish Kumar, Saniya Pawar, Bhargava Reddy

JMIR Form Res 2024;8:e55641

Designing and Developing a Mobile App for Management and Treatment of Gestational Diabetes in Nepal: User-Centered Design Study

Designing and Developing a Mobile App for Management and Treatment of Gestational Diabetes in Nepal: User-Centered Design Study

South Asians, who represent approximately one-fourth of the world’s population, are at a disproportionately higher risk of GDM [1-3], and the prevalence of GDM is increasing rapidly in South Asian countries, including Nepal [3-5]. Geographically situated between the two epicenters of the global diabetes epidemic, India and China [6], Nepal has a reported GDM prevalence ranging from 6.6% to 28% [7-9].

Aarthi Shanmugavel, Prabin Raj Shakya, Archana Shrestha, Jyoti Nepal, Abha Shrestha, Jean-Francois Daneault, Shristi Rawal

JMIR Form Res 2024;8:e50823