Sam P. Most

Stanford University School of Medicine

United States

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Articles (19)

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2024

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2022

Collaborators (6)

Kay Chang

Professor

Stanford University

UNITED STATES

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Emily Spataro

Assistant Professor

Washington University in Saint Louis School of Medicine

UNITED STATES

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Allen Green

Stanford University

UNITED STATES

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Mai Thy Truong

UNITED STATES

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Miguel Gonçalves Ferreira

PORTUGAL

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Mohamed Abdelwahab

Assistant Professor

MUSC Health

UNITED STATES

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Sam P. Most

Research Interests

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Articles (19)

Preservation Rhinoplasty by the Ones Who Do It: A Worldwide Survey

Gaze Patterns of Normal and Microtia Ears Pre‐ and Post‐Reconstruction

Handheld Ultrasound Detection of Supratrochlear Artery in Forehead Flap Surgery: A Feasibility Study

Rhinoplasty Outcomes in Patients With Symptoms of Body Dysmorphia

Comparison of Functional and Cosmetic Outcomes Between Dorsal Preservation and Spreader Flap Rhinoplasty: A Randomized Trial

Artificial Intelligence Versus Expert Plastic Surgeon: Comparative Study Shows ChatGPT “Wins” Rhinoplasty Consultations: Should We Be Worried?

Prevalence and Characteristics Associated with Positive Body Dysmorphic Disorder Screening Among Patients Presenting for Cosmetic Facial Plastic Surgery

Effectiveness of Hyperbaric Oxygen Treatment in Facial Plastic and Reconstructive Surgery: A Systematic Review

Patient's Perception of Nasal Function and Cosmesis After Maxillomandibular Advancement for Obstructive Sleep Apnea

Increased Prevalence of Positive Body Dysmorphic Disorder Screening Among Rhinoplasty Consultations During the COVID-19 Era

Outcomes of Diced Cartilage Dorsal Augmentation in Dorsal Aesthetic Deformities

Matched Cohort Comparison of Dorsal Preservation and Conventional Hump Resection Rhinoplasty

Patient Outcomes in Lateral Crural Repositioning and Reconstruction in Revision Rhinoplasty

Revision Rates of Septoplasty in the United States

Invited Discussion on: Comparison of Dorsal Preservation and Dorsal Reduction Rhinoplasty: Analysis of Nasal Patency and Aesthetic Outcomes by Rhinomanometry, NOSE and SCHNOS Scales

Automating the Standardized Cosmesis and Health Nasal Outcomes Survey Classification with Convolutional Neural Networks

Commentary on "Complications Associated with Use of Porous High-Density Polyethylene in Rhinoplasty" by Davis et al

A Personalized Respiratory Disease Exacerbation Prediction Technique Based on a Novel Spatio-Temporal Machine Learning Architecture and Local Environmental Sensor Networks

Comparison of the Distribution of Standardized Cosmesis and Health Nasal Outcomes Survey Scores Between Symptomatic and Asymptomatic Patients

Collaborators (6)

Kay Chang

Emily Spataro

Allen Green

Mai Thy Truong

Miguel Gonçalves Ferreira

Mohamed Abdelwahab

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