Rashi Ramchandani

ORCID: 0000-0002-6144-6423
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About
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Research Areas
  • Allergic Rhinitis and Sensitization
  • Asthma and respiratory diseases
  • High Altitude and Hypoxia
  • Food Allergy and Anaphylaxis Research
  • Artificial Intelligence in Healthcare and Education
  • Heart Rate Variability and Autonomic Control
  • Transplantation: Methods and Outcomes
  • Neuroscience of respiration and sleep
  • Cytomegalovirus and herpesvirus research
  • Cardiac, Anesthesia and Surgical Outcomes
  • Blood Pressure and Hypertension Studies
  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Sinusitis and nasal conditions
  • Simulation-Based Education in Healthcare
  • Organ Transplantation Techniques and Outcomes
  • Health Literacy and Information Accessibility
  • Meta-analysis and systematic reviews
  • Contact Dermatitis and Allergies
  • Cancer, Hypoxia, and Metabolism
  • Travel-related health issues
  • Winter Sports Injuries and Performance
  • Airway Management and Intubation Techniques
  • Innovations in Medical Education
  • Anesthesia and Sedative Agents
  • Immune Cell Function and Interaction

University of Ottawa
2023-2025

University Health Network
2023-2025

Toronto General Hospital
2023-2025

University of Toronto
2024-2025

Queen's University
2020-2022

Kingston Health Sciences Centre
2021-2022

Kingston General Hospital
2021

ABSTRACT Objective To compare the performance of Google Bard, Microsoft Copilot, GPT‐4 with vision (GPT‐4) and Gemini Ultra on OTO Chautauqua, a student‐created, faculty‐reviewed otolaryngology question bank. Study Design Comparative evaluation different LLMs. Setting N/A. Participants Methods Large language models (LLMs) are being extensively tested in medical education. However, their accuracy effectiveness remain understudied, particularly otolaryngology. This study involved inputting 350...

10.1111/coa.14302 article EN cc-by-nc-nd Clinical Otolaryngology 2025-03-13

Background. This study aimed to evaluate the ability of Donation Advisor (DA), a validated clinical decision support tool that uses continuous monitoring, variability analysis, and predictive models, (i) predict likelihood successful donation after circulatory determination death (DCD) before withdrawal life-sustaining measures (WLSM), (ii) describe ischemia during WLSM in DCD patients. Methods. Eligible patients were screened at 5 sites where DA was implemented. reports generated real time...

10.1097/txd.0000000000001748 article EN cc-by-nc-nd Transplantation Direct 2025-02-21

<sec> <title>BACKGROUND</title> Innovation is essential to address healthcare challenges like resource limitations, overcrowded emergency departments, provider burnout, and more. Implementing innovation in faces barriers, including resistance change, lack of multidisciplinary communication alignment, constraints The Actionable Day (AID) approach was developed these creating a model for distilling multidisciplinary, immediately applicable, consensus-based recommendations actionable change....

10.2196/preprints.73614 preprint EN cc-by 2025-03-08

Survival after lung transplantation is limited by chronic allograft dysfunction (CLAD), an alloimmune fibrotic process leading to death or retransplantation a median of 6 years. Immunosuppression fails prevent CLAD, suggesting the existence drug-resistant pathways. We used time-of-flight mass cytometry identify cells enriched in bronchoalveolar lavage patients with subsequent acute (ALAD), risk factor for CLAD. show that CD4 + CD57 PD1 T emerge stable patients, conferring risks ALAD, and...

10.1126/sciadv.adp9052 article EN cc-by-nc Science Advances 2025-03-21

Background: This study aims to evaluate the effectiveness of OSCEai, a large language model-based platform that simulates clinical encounters, in enhancing undergraduate medical education. Methods: A web-based application, was developed bridge theoretical and practical learning. Following use, students from University Calgary Class 2026 completed an anonymized survey on usability, utility, overall experience OSCEai. Results: total 37 respondents answered survey. The OSCEai highly valued for...

10.36834/cmej.79220 article EN cc-by-nc-nd Canadian Medical Education Journal 2024-08-06

<sec> <title>BACKGROUND</title> Growing evidence has suggested the use of Early Warning Scores (EWSs) which integrate real-time vital sign monitoring, can help Rapid Response Teams (RRTs) proactively identify patients at risk deterioration. The Visensia Safety Index (VSI) is a novel EWS based on continuous monitoring. </sec> <title>OBJECTIVE</title> This study aims to evaluate trial implementation portable monitoring system paired with machine learning index predict potential clinical...

10.2196/preprints.65360 preprint EN 2024-08-13

Introduction: Among professional athletes, high altitude training is a popular technique due to its documented success on improving cardiovascular health and athletic performance. Nevertheless, there little consensus the guidelines for competition. This review sought summarize existing literature acclimatization recommendations competing at altitudes suggests blueprint that could be followed by athletes trainers. Methods: paper part of Altitude Nondifferentiated ECG Study (ANDES) project. A...

10.5195/ijms.2023.2666 article EN cc-by International Journal of Medical Students 2024-12-03

Abstract Lung transplantation is a life-saving therapy for end-stage pulmonary disease, but its long-term outlook poor due to high incidence of chronic lung allograft dysfunction (CLAD). CLAD results from alloimmune-mediated progressive fibrosis and culminates in death or the need re-transplantation after median 6 years. Existing immunosuppression fails prevent CLAD, suggesting existence alloimmune pathways resistant these drugs. Here, we used mass cytometry identify cell populations...

10.1101/2023.12.19.572416 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2023-12-20
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