Jianghong Xu

ORCID: 0000-0002-1023-6434
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About
Contact & Profiles
Research Areas
  • Ear Surgery and Otitis Media
  • Voice and Speech Disorders
  • Ear and Head Tumors
  • Nasal Surgery and Airway Studies
  • Phonocardiography and Auscultation Techniques
  • Obstructive Sleep Apnea Research
  • Facial Nerve Paralysis Treatment and Research
  • Otolaryngology and Infectious Diseases
  • Respiratory and Cough-Related Research

Fudan University
2010-2024

Eye & ENT Hospital of Fudan University
2019-2021

National Health and Family Planning Commission
2020-2021

Objectives: The purpose of this study was to develop a deep-learning framework for the diagnosis chronic otitis media (COM) based on temporal bone computed tomography (CT) scans. Design: A total 562 COM patients with 672 CT scans both ears were included. final dataset consisted 1147 ears, and each them assigned ground truth label from one 3 conditions: normal, suppurative media, cholesteatoma. random selection 85% (n = 975) used training validation. contained two networks distinct functions:...

10.1097/aud.0000000000000794 article EN cc-by-nc-nd Ear and Hearing 2019-09-19

Chronic suppurative otitis media (CSOM) is mostly caused by bacterial infection of the middle ear and antibiotics are generally used empirically, which may lead to emergence resistant strains. The objective study assess bacteriological profile evaluate antibiotic susceptibility strains isolated in a tertiary care hospital Shanghai, China.This included 289 individuals with clinical diagnosis CSOM. Middle purulent discharge was obtained sterile swabs cultured for pathogens. microorganisms...

10.1177/0145561320923823 article EN cc-by-nc Ear Nose & Throat Journal 2020-04-30

Temporal bone computed tomography (CT) helps diagnose chronic otitis media (COM). However, its interpretation requires training and expertise. Artificial intelligence (AI) can help clinicians evaluate COM through CT scans, but existing models lack transparency may not fully leverage multidimensional diagnostic information.

10.2196/51706 article EN cc-by Journal of Medical Internet Research 2024-05-29

Objective: Hearing performance after myringoplasty with full-thickness tragal cartilage (FTTC) has been questioned because a considerable difference exists between the graft and natural tympanum. This study aimed to analyze air-bone gap (ABG) trends before its interaction risk factors in FTTC group; further, it compared postoperative ABG group that temporalis fascia (TF) partial-thickness (PTTC) groups. Design: A retrospective cohort Setting: Tertiary care University Hospital Methods: The...

10.22541/au.170664572.29371862/v1 preprint EN Authorea (Authorea) 2024-01-30

This study compared the rate of graft success, as well hearing improvement and dry ear time between ears wet with otomycosis or without in patients chronic suppurative otitis media (CSOM) after endoscopic cartilage myringoplasty.This retrospective was conducted a tertiary hospital Shanghai. In total, 83 CSOM (43 40 ears) were included. Among ears, 25 exhibited otomycosis. All underwent myringoplasty, perforations repaired using tragal single-sided perichondrium. Patients followed up for at...

10.1177/0145561321999263 article EN cc-by-nc Ear Nose & Throat Journal 2021-03-15

<sec> <title>BACKGROUND</title> Temporal bone computed tomography (CT) helps diagnose chronic otitis media (COM). However, its interpretation requires training and expertise. Artificial intelligence (AI) can help clinicians evaluate COM through CT scans, but existing models lack transparency may not fully leverage multidimensional diagnostic information. </sec> <title>OBJECTIVE</title> We aimed to develop an explainable AI system based on 3D convolutional neural networks (CNNs) for automatic...

10.2196/preprints.51706 preprint EN 2023-08-09
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