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Dr. Yawar Shoaib Ali

Consultant - Neurosurgery
MBBS, MS, M.Ch (Neurosurgery)
Experience: 15 Years
Languages: English ,Hindi, Urdu
Neurosurgery
3.5

Max Smart Super Speciality Hospital, Saket - New Delhi, India

• Brain Tumor Surgery
• Neurovascular and Skull Base Surgery
• Minimally Invasive Spine Surgery
• Peripheral Nerve Surgery

• Life member of Association of Spine Surgeons of India
• Life member of Neurological Surgeons Society of India

• Awarded University Gold Medal in Pharmacology and Surgery.

About Me

• Dr. Yawar Shoaib Ali is the Associate Director of Neurosurgery at Sarvodaya Hospital & Research Centre, Faridabad. • With 15+ years of experience, he specializes in various areas including Brain Tumour Surgery, Neurocritical Care, Neurovascular and Skull Base Surgery, Neurotrauma, Minimally Invasive Spine Surgery, Paediatric Neurosurgery, Peripheral Nerve Surgery, and Spinal Trauma. • He holds an MCh in Neurosurgery from Sher-e-Kashmir Institute of Medical Sciences, Srinagar, an MS in Surgery from Govt. Medical College, Srinagar, and an MBBS from JN Medical College, AMU, Aligarh. • Dr. Shoaib Ali has had a diverse professional journey, serving as a Senior Consultant and Consultant in the Institute of Neurosciences, Deptt. of Neurosurgery at Max Superspeciality Hospital, Saket, New Delhi. He also worked as a Neurosurgeon in various capacities in Srinagar, Jammu Kashmir, and at Zayed Military Hospital, Abu Dhabi, United Arab Emirates. • His academic background includes being an Assistant Professor at the Deptt. of Neurosurgery, PGIMER & Dr. RML Hospital, New Delhi, and serving as an Associate Consultant in the Deptt. of Neurosurgery at Max Superspeciality Hospital, Shalimar Bagh, New Delhi. • Dr. Shoaib Ali is a life member of the Neurological Surgeons Society of India and the Association of Spine Surgeons of India. • He has received University Gold Medals in Surgery and Pharmacology. His research and publications include work on home care of patients with head injury and the role of diffusion and perfusion magnetic resonance imaging in predicting the histopathological grade of gliomas.

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