Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Srishti, Sharma"'
Autor:
Omna Chawla, Anupam Singh, Himani Pal, Sanjeev Kumar Mittal, Srishti Sharma, Mittali Khurana, Pooja Kumari, Barun Kumar
Publikováno v:
Advances in Ophthalmology Practice and Research, Vol 4, Iss 4, Pp 189-193 (2024)
Purpose: To explore the parental factors that impede early intervention for strabismus and thus identify strategies for improving access to specialized care. Methods: This hospital-based cross-sectional study included 110 parents of children under 19
Externí odkaz:
https://doaj.org/article/73680ecf1e9e4f32b9574fa0ab2fe9ff
Autor:
Mobin Ibne Mokbul, Shahnawas Biswas, Shreya Singh Beniwal, Srishti Sharma, Kareema Rebekah Sofia Cummings, Robiul Karim, Md. Sumon Rana
Publikováno v:
Radiology Case Reports, Vol 19, Iss 9, Pp 3782-3787 (2024)
We present here a case of multidisciplinary management of a 20-year-old pregnant woman who presented with sudden paraplegia attributed to a large paraspinal tumor. Magnetic resonance imaging (MRI) revealed compressive dorsal myelopathy due to an extr
Externí odkaz:
https://doaj.org/article/da9de0f26a9b4cefb59aafd290721559
Publikováno v:
BMJ Neurology Open, Vol 6, Iss Suppl 1 (2024)
Externí odkaz:
https://doaj.org/article/73e90d2e523946c2841cbef75c4a6d8f
Autor:
Christopher B. Taber, Srishti Sharma, Mehul S. Raval, Samah Senbel, Allison Keefe, Jui Shah, Emma Patterson, Julie Nolan, N. Sertac Artan, Tolga Kaya
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Predictive sports data analytics can be revolutionary for sports performance. Existing literature discusses players' or teams' performance, independently or in tandem. Using Machine Learning (ML), this paper aims to holistically evaluate pla
Externí odkaz:
https://doaj.org/article/47ff56f8f99c4c968348445eef903a6c
Publikováno v:
Société Internationale d’Urologie Journal, Vol 5, Iss 1, Pp 7-9 (2024)
We present a case of supernumerary kidney with fusion of all three kidney units with five pelvicalyceal system (bilateral bifid PCS and PCS of supernumerary kidney). This is probably the first such case reported in literature.
Externí odkaz:
https://doaj.org/article/c56b4641c82847d9b720523ae18cf101
Autor:
Sumit Pandey, Srishti Sharma
Publikováno v:
Healthcare Analytics, Vol 3, Iss , Pp 100198- (2023)
Increased screen time may cause significant health impacts, including harmful effects on mental health. Studies on the association between technological obsessions and their influence on health have been conducted using Deep Learning (DL) and Machine
Externí odkaz:
https://doaj.org/article/2a9ac91cea394db198df76232a58c88c
Publikováno v:
BMJ case reports. 15(11)
Pulmonary arteriovenous malformations (PAVMs) are rare vascular lesions characterised by abnormal connections between the pulmonary artery and vein bypassing the pulmonary capillary bed and causing right-to-left shunt. Paradoxical embolism is known t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c216625048f48a04dd483992f34e724b
https://pubmed.ncbi.nlm.nih.gov/36414347
https://pubmed.ncbi.nlm.nih.gov/36414347
Publikováno v:
The Egyptian Journal of Radiology and Nuclear Medicine, Vol 53, Iss 1, Pp 1-6 (2022)
Abstract Background Cavernous haemangioma of the cavernous sinus is an uncommon vascular malformation. It is often confused with other parasellar masses like schwannomas and meningiomas due to overlap in imaging appearance. It is important to pre-ope
Externí odkaz:
https://doaj.org/article/84e988c4d4e442d2a4d8e846c7e600d8
Publikováno v:
Indian Journal of Radiology and Imaging, Vol 32, Iss 01, Pp 062-070 (2022)
Background Meticulous evaluation of abdominal lymph nodes on computed tomography (CT) is a fundamental task in radiological practice especially in oncological reporting. Although various reporting systems exist to define abdominal nodal stations for
Externí odkaz:
https://doaj.org/article/4c66c164d2ce4119a63753b19b7169ab
Autor:
Samah Senbel, Srishti Sharma, Mehul S. Raval, Chris Taber, Julie Nolan, N. Sertac Artan, Diala Ezzeddine, Tolga Kaya
Publikováno v:
IEEE Access, Vol 10, Pp 15516-15527 (2022)
We investigated the impact of sleep and training load of Division - 1 women’s basketball players on their game performance and injury prediction using machine learning algorithms. The data was collected during a pandemic-condensed season with unpre
Externí odkaz:
https://doaj.org/article/425ceb87c8da4260b59229da2de6db3d