Nishaant Bhambra

ORCID: 0000-0003-4966-6578
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About
Contact & Profiles
Research Areas
  • Retinal Diseases and Treatments
  • Retinal Imaging and Analysis
  • Retinal and Macular Surgery
  • Radiology practices and education
  • Intraocular Surgery and Lenses
  • Glaucoma and retinal disorders
  • Corneal Surgery and Treatments
  • Artificial Intelligence in Healthcare and Education
  • Emergency and Acute Care Studies
  • Radiomics and Machine Learning in Medical Imaging
  • Ocular Diseases and Behçet’s Syndrome
  • Ocular Disorders and Treatments
  • Corneal surgery and disorders
  • Medical and Biological Sciences
  • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
  • Innovations in Medical Education
  • Cell Image Analysis Techniques
  • Migration, Health and Trauma
  • Ocular Oncology and Treatments
  • Ear and Head Tumors
  • History of Medical Practice
  • Dental Education, Practice, Research
  • Primary Care and Health Outcomes
  • Optical Coherence Tomography Applications
  • Historical Medical Research and Treatments

McGill University
2020-2024

University of Toronto
2021-2024

University of Ottawa
2024

St. Michael's Hospital
2020-2024

Kensington Health
2021-2024

St Michaels Hospital
2024

Unity Health Toronto
2021-2023

Royal Victoria Infirmary
2022

McGill University Health Centre
2022

Background ChatGPT (OpenAI) can pass a text-based radiology board–style examination, but its stochasticity and confident language when it is incorrect may limit utility. Purpose To assess the reliability, repeatability, robustness, confidence of GPT-3.5 GPT-4 (ChatGPT; OpenAI) through repeated prompting with examination. Materials Methods In this exploratory prospective study, 150 multiple-choice questions, previously used to benchmark ChatGPT, were administered default versions (GPT-3.5...

10.1148/radiol.232715 article EN Radiology 2024-05-01

Background Structured radiology reports for pancreatic ductal adenocarcinoma (PDAC) improve surgical decision-making over free-text reports, but radiologist adoption is variable. Resectability criteria are applied inconsistently. Purpose To evaluate the performance of large language models (LLMs) in automatically creating PDAC synoptic from original and to explore categorizing tumor resectability. Materials Methods In this institutional review board–approved retrospective study, 180...

10.1148/radiol.233117 article EN Radiology 2024-06-01

GPT-4 identified incidental adrenal nodules, pancreatic cystic lesions, and vascular calcifications in radiology reports with F1 scores of 1.00, 0.91, 0.99, respectively. The findings indicate a potential role for large language models to help improve recognition management imaging be applied flexibly medical context.

10.2214/ajr.23.30651 article EN American Journal of Roentgenology 2024-01-10

Background: In Canada, healthcare professionals often rely on ad hoc interpreters, who are untrained volunteers recruited via intercom hospital announcements to interpret for patients with language barriers. This study analyzed the frequency of interpreter requests estimate interpretation needs. Methods: A retrospective cohort analysis from medical collected five hospitals McGill University Health Center. Requests included date, time, requested, location, and extension placed request....

10.1177/27550834221105215 article EN cc-by-nc The Journal of Medicine Access 2022-01-01

Manual extraction of spectral domain optical coherence tomography (SD-OCT) reports is time and resource intensive. This study aimed to develop an character recognition (OCR) algorithm for automated data from Cirrus SD-OCT macular cube reports.

10.1097/iae.0000000000003990 article EN Retina 2023-11-10

Background: Chronic neuropathic pain (CNP) is a complex condition that has profound impacts on quality of life. Pulsed radiofrequency (PRF) the dorsal root ganglia (DRGs) novel treatment shown clinical efficacy in relief, however, its mechanism remains unknown. Objectives: The objective this review to synthesize literature inflammatory markers and outcomes CNP patients treated with PRF. Study Design: A narrative was conducted. Setting: Eligibility criteria included human trials adults...

10.4103/ijpn.ijpn_79_21 article EN cc-by-nc-sa Indian Journal of Pain 2022-05-01

To compare foveal avascular zone (FAZ) geometric indices using optical coherence tomography angiography (OCTA) in pneumatic retinopexy (PnR) versus pars plana vitrectomy (PPV) for rhegmatogenous retinal detachment (RRD). FAZ morphology was assessed as a possible imaging feature of displacement.This ALIGN post hoc analysis included primary fovea-off RRDs that underwent successful PnR or PPV, and performed OCTA, fundus autofluorescence at (FAF) 3 months postoperatively St. Michael's Hospital,...

10.1097/iae.0000000000003713 article EN Retina 2023-02-02
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