A5051798208- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- RNA modifications and cancer
- Advanced X-ray and CT Imaging
- Cancer-related molecular mechanisms research
- Cell Image Analysis Techniques
- Patient-Provider Communication in Healthcare
- Electron and X-Ray Spectroscopy Techniques
- Patient Satisfaction in Healthcare
- Radiology practices and education
- Hospital Admissions and Outcomes
- Functional Brain Connectivity Studies
- Liver Disease Diagnosis and Treatment
- Advanced Fluorescence Microscopy Techniques
- Electronic Health Records Systems
- Restraint-Related Deaths
- Pancreatic and Hepatic Oncology Research
- Infrared Thermography in Medicine
- Digital Imaging in Medicine
- Health Sciences Research and Education
- Hepatitis B Virus Studies
- Mental Health via Writing
- Infectious Aortic and Vascular Conditions
- Advanced Neuroimaging Techniques and Applications
- Lipid metabolism and biosynthesis
Icahn School of Medicine at Mount Sinai
2022-2024
Chongqing Electromechanical Holdings (China)
2023
Accreditation Council for Graduate Medical Education
2023
American Nurses Credentialing Center
2023
Mount Sinai Hospital
2023
Medical Education Institute
2023
Dartmouth College
2020-2022
Morpho (United States)
2022
Dartmouth Hospital
2020
Stanford University
2019-2020
Patients increasingly use physician rating websites to evaluate and choose potential healthcare providers. A sentiment analysis machine learning approach can uniquely analyse written prose quantitatively describe patients' perspectives from interactions with their physicians.Online reviews star scores were analysed Healthgrades.com using a natural language processing package. Demographics of otolaryngologists compared multivariable regression for individual words was performed.This study 18...
Introduction Letters of recommendation (LORs) are a highly influential yet subjective and often enigmatic aspect the residency application process. This study hypothesizes that LORs do contain valuable insights into applicants can be used to predict outcomes. pilot utilizes natural language processing machine learning (ML) models using LOR text interview invitations for otolaryngology applicants. Methods A total 1642 from 2022–2023 cycle were retrospectively retrieved single institution....
Introduction . The presence and influence of physician review websites (PRW) have increased significantly in the field medicine. This study aims to better understand determinants patient satisfaction sentiment ophthalmologists using natural language processing Healthgrades reviews. Methods is a PRW where patients submit verified reviews, containing star rating narrative review, US‐based ophthalmologists. was quantitative observational conducted on May 23, 2022. We identified associations...
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Abstract Objectives Documentation and billing are important time‐consuming parts of an otolaryngologist's work. Given advancements in machine learning (ML), we evaluated the ability ML algorithms to use operative notes classify rhinology procedures by Current Procedural Terminology (CPT®) code. We aimed assess potential for replicate rhinologists' completion their administrative tasks. Study Design Retrospective cohort study. Setting Urban tertiary hospital. Methods A total 594 from...
Vision health disparities largely stem from inaccessibility to vision specialists. To improve patient access tests and expedite clinical workflows, it is important assess the viability of virtual reality (VR) as a modality for evaluating contrast sensitivity.
Objective Personal statements (PSs) and letters of recommendation (LORs) are critical components the neurotology fellowship application process but can be subject to implicit biases. This study evaluated general deep learning linguistic differences between applicant genders over a 10-year span. Study Design Retrospective cohort. Setting Two institutions. Main Outcome Measures PSs LORs were collected from 2014 2023 two The Valence Aware Dictionary Sentiment Reasoner (VADER) natural language...
Lipid droplets (LDs) are distinct morphological markers of hepatic stellate cells (HSCs). They composed a core predominantly retinyl esters and triacylglycerols surrounded by phospholipid layer; the latter harbors perilipins 2, 3, 5, which help control LD lipolysis. Electron microscopy distinguishes between Types I II LDs. Type LDs acid phosphatase-positive lysosomes, likely digest count retinoid concentration modulated vitamin A intake. Alcohol consumption depletes retinoids HSC LDs, with...
<ns3:p><ns3:bold>Background: </ns3:bold>Magnetic resonance imaging (MRI) is an important yet complex data acquisition technology for studying the brain. MRI signals can be affected by many factors and sources of variance are often simply attributed to “noise”. Unexplained in hinders statistical power studies affects their reproducibility. We hypothesized that it would possible use phantom as a proxy scanner characteristics with simplistic model seasonal variation explain some human...
While online reviews from physician rating websites are increasingly utilized by healthcare providers to better understand patient needs, it remains difficult objectively identify areas for improvement in providing psychiatric care.To quantitatively characterize the sentiment of written psychiatrists determine clinical attributes that can be strengthened improve psychiatrists' therapeutic alliance with their patients.Sentiment scores 6,400 400 US-based on a website were obtained through...
Introduction: A 64-year-old male was referred to clinic with a chief complaint of OD irritation and right lower lid fullness. His past medical history family were nonsignificant.
This follow-up dual-institutional and longitudinal study further evaluated for underlying gender biases in LORs rhinology fellowship. Explicit implicit linguistic bias was found, heavily favoring male applicants.
Abstract Objective s Letters of recommendation (LORs) are an important part pain medicine fellowship applications that may be subject to implicit bias by the letter's author. This study evaluated letters for fellowships in United States characterize biases and differences among applicants over four application cycles. Methods was a retrospective single‐site cohort study. De‐identified LORs were collected from 2020 2023 one institution. The Valence Aware Dictionary sEntiment Reasoner (VADER)...