Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Archna Gupta"'
Publikováno v:
Annals of Cardiac Anaesthesia, Vol 27, Iss 2, Pp 165-168 (2024)
Mediastinal masses pose one of the great challenges for any anesthesiologist during airway maintenance, underlining the need to devise a well-formulated plan to avoid perioperative complications. As a general rule, such patients are managed with spon
Externí odkaz:
https://doaj.org/article/57a3dd574228460096621965ad7a9b51
Autor:
Archna Gupta, Ramakrishna Prasad, Sunil Abraham, Nisanth Menon Nedungalaparambil, Onil Bhattacharyya, Megan Landes, Sanjeev Sridharan, Carolyn Steele Gray
Publikováno v:
PLOS Global Public Health, Vol 3, Iss 5, p e0001848 (2023)
Countries globally are introducing family medicine to strengthen primary health care; however, for many, that process has been slow. Understanding the implementation of family medicine in a national context is complex but critical to uncovering what
Externí odkaz:
https://doaj.org/article/3d8fae5b7ed14e92832f6f1a083fef38
Autor:
Archna Gupta, Ramakrishna Prasad, Sunil Abraham, Nisanth Menon Nedungalaparambil, Megan Landes, Carolyn Steele Gray, Sanjeev Sridharan, Onil Bhattacharyya
Publikováno v:
PLOS Global Public Health, Vol 3, Iss 6 (2023)
India has one of the most unequal healthcare systems globally, lagging behind its economic development. Improved primary care and primary health care play an integral role in overcoming health disparities. Family medicine is a subset of primary care
Externí odkaz:
https://doaj.org/article/9f6324470a3b470dae0137db76c5cded
Autor:
Sunil Abraham, Sushil Mathew John, Archna Gupta, Seema Biswas, Manorama M. Khare, Pavan Mukherjee, Augustine C. Frankline
Publikováno v:
Frontiers in Public Health, Vol 10 (2023)
ProblemThe two waves of COVID-19 severely affected the healthcare system in India. The government responded to the first wave with a strict nationwide lockdown which disrupted primary care, including the management of non-communicable diseases (NCDs)
Externí odkaz:
https://doaj.org/article/fabbdff086774985bd8c815a3f95542c
Autor:
Amrin Israrahmed, Rajanikant R Yadav, Geeta Yadav, Alpana, Rajesh V Helavar, Praveer Rai, Manoj Kumar Jain, Archna Gupta
Publikováno v:
JGH Open, Vol 5, Iss 2, Pp 180-189 (2021)
Abstract Background and Aim Crohn's disease (CD) and intestinal tuberculosis (ITB) have similar symptomatology and overlapping features on imaging, endoscopy, and histopathology. It is important to differentiate ITB from CD to initiate correct medica
Externí odkaz:
https://doaj.org/article/9ccb246aa4e4463dbc434f0902ed0a02
Autor:
Supriya Sharma, Raghunanadan Prasad, Archna Gupta, Pranav Dwivedi, Samir Mohindra, Rajanikant R Yadav
Publikováno v:
JGH Open, Vol 4, Iss 5, Pp 923-928 (2020)
Abstract Background and Aim Pancreaticoduodenal arcade aneurysms (PDAAs) are uncommon lesions associated with a significant risk of rupture and mortality. This study describes the etiology, clinical presentation, and endovascular management strategie
Externí odkaz:
https://doaj.org/article/506c81ce39c04c1c8a0099fc94e7bf3a
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 15, Iss 8, Pp TC04-TC09 (2021)
Introduction: Inferior Phrenic Artery (IPA), though a small artery, is important from several points of view. Apart from being arterial supply to normal structures, it is also involved in many pathological conditions such as tumours, haemoptysis,
Externí odkaz:
https://doaj.org/article/71a48d433062451993b277076ab062e7
Autor:
Jasjit S. Suri, Sushant Agarwal, Alessandro Carriero, Alessio Paschè, Pietro S. C. Danna, Marta Columbu, Luca Saba, Klaudija Viskovic, Armin Mehmedović, Samriddhi Agarwal, Lakshya Gupta, Gavino Faa, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, David W. Sobel, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Athanasios Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Ferenc Nagy, Zoltan Ruzsa, Archna Gupta, Subbaram Naidu, Kosmas I. Paraskevas, Mannudeep K. Kalra
Publikováno v:
Diagnostics, Vol 11, Iss 12, p 2367 (2021)
(1) Background: COVID-19 computed tomography (CT) lung segmentation is critical for COVID lung severity diagnosis. Earlier proposed approaches during 2020–2021 were semiautomated or automated but not accurate, user-friendly, and industry-standard b
Externí odkaz:
https://doaj.org/article/2e838515d7944bbcbd64e268a0465992
Autor:
Jasjit S. Suri, Sushant Agarwal, Pranav Elavarthi, Rajesh Pathak, Vedmanvitha Ketireddy, Marta Columbu, Luca Saba, Suneet K. Gupta, Gavino Faa, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, David W. Sobel, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Athanasios Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Ferenc Nagy, Zoltan Ruzsa, Archna Gupta, Subbaram Naidu, Mannudeep K. Kalra
Publikováno v:
Diagnostics, Vol 11, Iss 11, p 2025 (2021)
Background: For COVID-19 lung severity, segmentation of lungs on computed tomography (CT) is the first crucial step. Current deep learning (DL)-based Artificial Intelligence (AI) models have a bias in the training stage of segmentation because only o
Externí odkaz:
https://doaj.org/article/1dc2ceaec98142dea5fc58b63dc51b62
Autor:
Jasjit S. Suri, Sushant Agarwal, Rajesh Pathak, Vedmanvitha Ketireddy, Marta Columbu, Luca Saba, Suneet K. Gupta, Gavino Faa, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, David W. Sobel, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Athanasios Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Nagy Frence, Zoltan Ruzsa, Archna Gupta, Subbaram Naidu, Mannudeep Kalra
Publikováno v:
Diagnostics, Vol 11, Iss 8, p 1405 (2021)
Background: COVID-19 lung segmentation using Computed Tomography (CT) scans is important for the diagnosis of lung severity. The process of automated lung segmentation is challenging due to (a) CT radiation dosage and (b) ground-glass opacities cause
Externí odkaz:
https://doaj.org/article/4ec48467a7a742fb9ddf238e402f298e