Výsledky vyhledávání - "Yakub Sayyad"

Comparing Surgical Interventions for Recurrent Lumbar Disc Herniation: A Literature Review

Autor: Yusuf ALSHARAF, MOHAMED ABDULLA ALBAQALI, Fareed Saloom, Abdulla hasan Alqallaf, Dr. Yakub Sayyad

Publikováno v: International Journal of Innovative Research in Medical Science. 8:135-139

The recurrence of lumbar disc herniation (LDH) is a common complication that can occur after primary discectomy. Various factors contribute to the recurrence of LDH, including patient-related, surgical, and biomechanical factors. Despite attempts to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::40d5d8321b6199edd1062f54f7cd1401
https://doi.org/10.23958/ijirms/vol08-i03/1652

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Extramedullary Intradural Spinal Schwannoma: A Case Report and Successful Treatment Approach

Autor: Yusuf Sharaf, Fareed Salloom, Hussain Meer, Mohamed Albagali, Abdulla Hasan Alqallaf, Yakub Sayyad, Zahra R. Alzaimoor

Studies have shown that extramedullary intradural tumors (EIDTs) can develop from various tissues and structures surrounding the spinal cord, including nerve roots, meninges, or vertebral bodies. Nerve sheath tumors account for approximately 30% of E

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2659::3b7a9ce828aabc56480ce9539c4571d4
https://zenodo.org/record/7781724

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Posterolateral Fusion Surgery with Decompression: An Effective Treatment Option for Lumbar Spinal Stenosis

Autor: Yousif Sharaf, Baha Taha, Yakub Sayyad, Zahra R. Alzaimoor

Objective: The purpose of this study was to provide a comprehensive description of our experience in treating lumbar spinal stenosis (LSS) patients and the clinical outcomes and postoperative complications of surgical decompression and non-instrument

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2659::77897cf7ca73380a0a3b0adead78ba20
https://zenodo.org/record/7693157

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Application of Artificial Intelligence in Pediatric Orthopaedic

Autor: Yousif Sharaf, Baha Taha, Yakub Sayyad

Background: Artificial intelligence has emerged as a promising tool in healthcare. The machine learning algorithms enable accurate diagnosis, imaging and treatment plans. Computer technology and digital software have come a long way in promoting care

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2659::91fc0776a57b045c7639d93a0911573e
https://zenodo.org/record/7693115

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A novel fertility score predictor: a cafeteria approach for fertility treatment option

Autor: Bharati Dhorepatil, Amruta Ahirrao, Yakub Sayyad, Snehal Chavan

Publikováno v: Fertility Science and Research. 7:147

Background: Fertility prediction application is the need to increase the likelihood for early approach at right time in infertility. In this study, we propose to investigate the use of a fertility score predictor (FSP), score system with colour code

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4fa3fdc865d258dac35982d60a5c2cf7
https://doi.org/10.4103/fsr.fsr_11_20

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Use of Smartphone-Based Video Directly Observed Therapy (vDOT) in Tuberculosis Care: Single-Arm, Prospective Feasibility Study

Autor: Yakub Sayyad, Samuel B. Holzman, Arjun Lal Kakrani, Amita Gupta, Deepak Jagtap, Maunank Shah, Vidya Mave, Sunil Ambike, Sachin R Atre, Tushar Sahasrabudhe

Publikováno v: JMIR Formative Research

Background India accounts for nearly one-quarter of the global tuberculosis (TB) burden. Directly observed treatment (DOT) through in-person observation is recommended in India, although implementation has been heterogeneous due largely to resource l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f825f08628b657547a74efeba360051
https://doi.org/10.2196/13411

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