# Chanel Fischetti

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/chanel-fischetti/

## Facts

| Field | Value |
| --- | --- |
| Citations | 370 |
| Field | Ultrasound in Clinical Applications |
| h-index | 9 |
| i10-index | 9 |
| Last Known Institution | Brigham and Women's Hospital |
| OpenAlex ID | https://openalex.org/A5025291349 |
| ORCID iD | 0000-0002-5959-5614 |
| Works | 49 |

## Researcher papers

- [Artificial Intelligence (AI) Applications for Point of Care Ultrasound (POCUS) in Low-Resource Settings: A Scoping Review](https://scholariq.org/papers/artificial-intelligence-ai-applications-for-point-of-care-ultrasound-pocus-in/)
- [The Evolving Importance of Artificial Intelligence and Radiology in Medical Trainee Education](https://scholariq.org/papers/the-evolving-importance-of-artificial-intelligence-and-radiology-in-medical/)
- [Point-of-care ultrasound versus radiology department pelvic ultrasound on emergency department length of stay](https://scholariq.org/papers/point-of-care-ultrasound-versus-radiology-department-pelvic-ultrasound-on/)
- [Artificial intelligence for renal cancer: From imaging to histology and beyond](https://scholariq.org/papers/artificial-intelligence-for-renal-cancer-from-imaging-to-histology-and-beyond/)
- [Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound](https://scholariq.org/papers/deep-learning-for-detection-and-localization-of-b-lines-in-lung-ultrasound/)
- [The Viability of an Artificial Intelligence/Machine Learning Prediction Model to Determine Candidates for Knee Arthroplasty](https://scholariq.org/papers/the-viability-of-an-artificial-intelligence-machine-learning-prediction-model-to/)
- [Novice-performed point-of-care ultrasound for home-based imaging](https://scholariq.org/papers/novice-performed-point-of-care-ultrasound-for-home-based-imaging/)
- [Tricuspid Annular Plane of Systolic Excursion (TAPSE) for the Evaluation of Patients with Severe Sepsis and Septic Shock](https://scholariq.org/papers/tricuspid-annular-plane-of-systolic-excursion-tapse-for-the-evaluation-of/)
- [AR-Coach: Using Augmented Reality (AR) for Real-Time Clinical Guidance During Medical Emergencies on Deep Space Exploration Missions](https://scholariq.org/papers/ar-coach-using-augmented-reality-ar-for-real-time-clinical-guidance-during/)
- [Popliteal artery aneurysm ultrasound criteria for reporting characteristics](https://scholariq.org/papers/popliteal-artery-aneurysm-ultrasound-criteria-for-reporting-characteristics/)
- [Using artificial intelligence for automated assessment of point-of-care ultrasound (POCUS) skills in emergency medicine](https://scholariq.org/papers/using-artificial-intelligence-for-automated-assessment-of-point-of-care/)

## Researcher topics

- [Ultrasound in Clinical Applications](https://scholariq.org/topics/ultrasound-in-clinical-applications/)
- [Radiology practices and education](https://scholariq.org/topics/radiology-practices-and-education/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Innovations in Medical Education](https://scholariq.org/topics/innovations-in-medical-education/)
- [Peripheral Artery Disease Management](https://scholariq.org/topics/peripheral-artery-disease-management/)

## Researcher university

- [Brigham and Women's Hospital](https://scholariq.org/institutions/brigham-and-women-s-hospital/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.