Bio


Haider Ali, M.B., B.S. is a Postdoctoral Scholar in the Department of Ophthalmology at Stanford University School of Medicine. With over six years of experience in translational research, his work focuses on advancing innovations in retinal imaging, artificial intelligence, and digital health. He is particularly interested in developing technologies that bridge clinical innovation and real-world impact to improve vision care globally.

Professional Education


  • Postdoctoral Fellowship, University of California San Francisco, Interverntional Neuroradiology (2025)
  • MBBS, Aga Khan University Medical College, Medicine (2018)

Stanford Advisors


All Publications


  • Non-invasive imaging modalities for diagnosing pulsatile tinnitus: a comprehensive review and recommended imaging algorithm JOURNAL OF NEUROINTERVENTIONAL SURGERY Duvvuri, M., Ali, H., Amans, M. 2025; 17 (9): 916-924

    Abstract

    Pulsatile tinnitus (PT) is a challenging diagnostic condition arising from various vascular, neoplastic, and systemic disorders. Non-invasive imaging is essential for identifying underlying causes while minimizing risks of invasive diagnostic angiography. Although no consensus exists on the primary imaging modality for PT and currently CT, ultrasound, and MRI are used in the diagnostic pathway, MRI is increasingly preferred as the first-line screening test for its diagnostic efficacy and safety. MRI protocols such as time-of-flight, magnetic resonance angiography, diffusion-weighted imaging, and arterial spin labeling can identify serious causes, including vascular shunting lesions, venous sinus stenosis, and tumors. In this narrative review of the current literature we discuss the benefits and limitations of various non-invasive imaging modalities in identifying the characteristic imaging findings of the most common causes of PT and also provide an algorithm that clinicians can use to guide the imaging evaluation.

    View details for DOI 10.1136/jnis-2023-020949

    View details for Web of Science ID 001353248400001

    View details for PubMedID 39488339

    View details for PubMedCentralID PMC12290034

  • Sensitivity and Specificity of Wearables for Atrial Fibrillation in Elderly Populations: A Systematic Review. Current cardiology reports Babar, F., Cheema, A. M., Ahmad, Z., Sarfraz, A., Sarfraz, Z., Ashraff, H., Tayyab, H., Bajwa, A. M., Ali, H., Sarfraz, M., Shahzad, A., Sabzwari, S. R. 2023; 25 (7): 761-779

    Abstract

    This study aims to evaluate the sensitivity and specificity of wearable devices for AF detection in older adults, as well as examine the incidence of AF across various studies, contextual factors impacting AF detection, and safety and adverse events associated with wearable use.A systematic search of three databases identified 30 studies on wearables for AF detection in older adults, encompassing 111,798 participants. Both PPG-based and single-lead electrocardiography-based wearables show scalable potential for screening and managing AF. The results of this systematic review demonstrate that wearable devices, such as smartwatches, can effectively identify arrhythmias like AF in older adults, with scalable potential in PPG-based and single-lead electrocardiography-based wearables. As wearable technologies continue to gain prominence in healthcare, it is crucial to understand their challenges and incorporate them as preventative and monitoring tools for AF detection in elderly populations to improve patient care and prevention techniques.

    View details for DOI 10.1007/s11886-023-01898-3

    View details for PubMedID 37222916

    View details for PubMedCentralID PMC10205559

  • Facilitating social innovation through a school emergency preparedness hackathon in Pakistan TECHNOLOGY PEDAGOGY AND EDUCATION Naseem, A., Ahmad, S., Yousuf, S., Ali, H., Mian, A. 2023; 32 (1): 17-28
  • Zero cost approach to fostering multidisciplinary engagement and innovation in an academic medical centre during COVID-19: experience from the Jugaar Innovation Challenge. BMJ innovations Ahmed, R., Dayani, K., Amir, H. A., Mian, A. 2021; 7 (2): 302-307

    View details for DOI 10.1136/bmjinnov-2020-000542

    View details for PubMedID 37556241