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This Author published in this journals
All Journal Medical Journal of Indonesia International Journal of Technology and Modeling
Rajesh Sharma, Rajesh
Department of Radiotherapy, Regional Institute of Medical Sciences, Lamphel, Imphal, Manipur
Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Medicine & Pharmacology

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Merkel cell carcinoma of right buttock in an elderly patient: a case report Debbarma, Shiromani; Sharma, Rajesh; Sharma, Dhaneshor; Singh, Th Tomcha
Medical Journal of Indonesia Vol 24, No 3 (2015): September
Publisher : Faculty of Medicine Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (411.539 KB) | DOI: 10.13181/mji.v24i3.1242

Abstract

Merkel cell carcinoma is a rare primary cutaneous tumor. So far, few cases have been reported.  Herewith we report a case of an 87-years-old male with painless, ulceroproliferative growth measuring 6x6 cm, over right upper outer quadrant of buttock; stage IIB (TNM, T3cNoMo). Patient received neo-adjuvant chemotherapy, injection of carboplatin 420 mg (day one) and etoposide 140 mg (day one to three) three weekly for three cycles followed external beam radiotherapy by Cobalt 60. At three months post-treatment follow-up, clinically no evidence of residual disease or recurrences noted. The purpose of reporting this case was to emphasize to its rarity, early asymptomatic clinical course leading to possibility of delayed diagnosis and paramount importance of high index of clinical suspicion in definitive diagnosis for better treatment result.
The Role of AI-Powered Chatbots in Telemedicine: Improving Accessibility and Patient Engagement Karim, Mahit Kumaris; Sharma, Rajesh; Singh , Vikram
International Journal of Technology and Modeling Vol. 2 No. 1 (2023)
Publisher : Etunas Sukses Sistem

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63876/ijtm.v2i1.108

Abstract

The integration of Artificial Intelligence (AI) in telemedicine has significantly transformed healthcare accessibility and patient engagement. AI-powered chatbots serve as virtual assistants, providing real-time medical guidance, symptom assessment, and appointment scheduling, thereby reducing the burden on healthcare professionals and improving patient experiences. This paper explores the role of AI-driven chatbots in enhancing telemedicine services by analyzing their capabilities in symptom triage, personalized health recommendations, and patient communication. Furthermore, we discuss the advantages and limitations of AI chatbots, focusing on their impact on remote healthcare delivery, data privacy concerns, and user satisfaction. By evaluating recent advancements and real-world applications, this study highlights the potential of AI chatbots to bridge healthcare gaps, particularly in underserved regions. The findings suggest that AI-powered chatbots can enhance healthcare efficiency, improve accessibility, and foster better patient engagement, paving the way for a more inclusive and technology-driven medical ecosystem.
Co-Authors Dhaneshor Sharma, Dhaneshor Karim, Mahit Kumaris Shiromani Debbarma, Shiromani Singh , Vikram Th Tomcha Singh, Th Tomcha