Automated government form filling for aged and monolingual people using interactive tool.

PURPOSE: The Government of India offers various schemes for various classes of citizens. Most of the application forms of schemes to be filled are in English and it is observed that monolingual individuals find it difficult to access and fill the forms. This paper addresses the challenges faced by monolingual individuals in India, particularly the elderly, people with impairments, and those from marginalized communities. The proposed work is to create an interactive system called "Dhvani" voicebot, specifically designed for the Kannada language. It helps users in identifying suitable government schemes and fills forms in English. MATERIALS AND METHODS: The proposed system is developed using the RASA chatbot framework and NLP techniques to comprehend user utterances. RNN and SVM algorithms are employed to ensure smooth conversation flow and interaction with the users. To enhance scheme suggestion accuracy, a knowledge graph is created, containing relevant data on government schemes. RESULTS: The intent classification model achieves an accuracy of 97%, indicating its ability to accurately understand user intentions. The integration of a knowledge graph improves the accuracy of scheme identification and suggestion to users. The system automates the process of filling out government scheme forms based on user inputs. CONCLUSION: Dhvani voicebot system presents a practical solution to address the challenges faced by monolingual individuals in accessing government schemes in India. The high accuracy of intent classification and the use of a knowledge graph contribute to the system's effectiveness. The study suggests that this system can be extended to other languages.

An automated tool called "Dhvani" will solve the problem of aged, illiterate and physically challenged persons filling forms in post offices and banks. Most of the schemes, pension funds, cash withdrawal, cash deposit is through these organizations. So. the tool makes the process easier for the above mention persons without the help of others.An intent recognition and interactive tool developed in Kannada Language which is widely spoken in Karnataka, India. The digital resources available in Kannada Language is very sparce.Use of technology like interactive tool, Knowledge graph, RNN and SVM are used in the development of the tool.Government scheme recommendation interactively makes the users to choose the scheme faster in an interactive way.The form is filled automatically and can be edited to rectify mistakes.

Neuroimaging Spectrum in COVID-19 Infection: A Single-Center Experience.

Background and Purpose The ongoing coronavirus disease 2019 (COVID-19) pandemic is a multisystemic disease and involvement of the nervous system is well established. The neurological and neuroimaging features of the disease have been extensively evaluated. Our study aimed to elucidate the neuroradiological findings in COVID-19 infected patients admitted to our institute during the first and second waves of the pandemic in India. Methods This was a single-center retrospective study of all COVID-19 positive patients who underwent neuroimaging between March 2020 and May 2021. The presenting neurological complaints, the imaging findings in computed tomography (CT) imaging, and/or magnetic resonance imaging (MRI) were recorded. They recorded the findings in the subheadings of ischemic stroke, hemorrhagic stroke, parainfectious demyelination, acute encephalitis syndrome, and changes of global hypoxic changes. Patients with age-related, chronic, and incidental findings were excluded. Results The study comprised of 180 COVID-19 positive patients who underwent neuroimaging. CT scan was performed for 169 patients, MRI for 28, and a combination of both CT and MRI was performed for 17 patients. Seventy percent of patients were males, and median age was 61.5 years (interquartile range: 48.25-70.75). Out of the 180 patients, 66 patients had nonspecific findings that could not be attributed to COVID-19 infection. In the remaining 114 patients, 77 (42.7%) had ischemic findings, while 22 (12.2%) had hemorrhagic stroke. Hypoxic ischemic changes were noted in five patients. The rest of the patients had a spectrum of changes including, cerebellitis (3), tumefactive demyelination (1), COVID-19-associated encephalitis (1), hemorrhagic acute demyelinating encephalomyelitis (1), transverse myelitis (1), cytotoxic lesions of corpus callosum (1), Guillain-Barre syndrome (1), and COVID-19-associated microhemorrhages (1). Conclusion Neurological manifestations of COVID-19 infection are not uncommon, and our understanding of this topic is expanding. A complex interplay of neurotropism and direct central nervous system invasion, immune activation and cytokine storm, vasculitis, and parainfectious processes are implicated in the pathophysiology. While the most common imaging finding was ischemic stroke, followed by hemorrhagic stroke, a diverse range of parainfectious findings was also noted in our study.

Venolymphatic malformation of tongue: a prompt life saving intervention.

Venolymphatic malformations (VLMs) of the head and neck can have varied clinical presentation with associated complications. Timely diagnosis and treatment is warranted to curb the morbidity and obtain satisfactory outcomes. We present the case of a male patient in his early 20s with VLM of the tongue who received precise interventions which were executed with active contributions from a team of anaesthesiologists, interventional radiologists, oral and maxillofacial surgeons and intensivists. We highlight the importance of an immediate, comprehensive and multimodal treatment approach for VLMs of the maxillofacial region.

An exploration of the oral health beliefs and behaviors of people living with HIV in Mangalore, India: a qualitative study.

INTRODUCTION: People living with HIV (PLWHIV) have increased oral healthcare needs due to an increase in the prevalence of oral and dental diseases. Their oral health is influenced by psychosocial, behavioral and biologic factors. The aim of this study was to explore and obtain a deeper understanding of the oral health beliefs and behaviors of PLWHIV that could potentially affect their oral health. METHODS: We have used the Health Belief Model (HBM) and qualitative methods using in-depth interviews with 16 PLWHIV. Content analysis of the transcribed data was done. The data was grouped under the constructs of the HBM. FINDINGS: The perceived susceptibility to oral diseases and awareness on the importance of good oral health was low. Regular tooth brushing and traditional methods for oral hygiene maintenance were considered beneficial. Regular dental visits were not considered important. Psychosocial issues, time and financial constraints were the barriers. Participants believed that information on oral health should be provided by the health providers in hospitals and dental clinics.  CONCLUSION: The findings on the oral health beliefs and behaviors support the need for education on oral health and preventive healthcare practices among PLWHIV. Oral health promotion should include behavioral change as one of its components.