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Chun-Teh Lee DDS, MS, DMSc

Chun-Teh Lee DDS, MS, DMSc

Associate Professor, Department of Periodontics and Dental Hygiene, The University of Texas Health Science Center at Houston (UTHealth) School of Dentistry, Houston, Texas

Dr. Chun-Teh Lee is Associate Professor in the Department of Periodontics and Dental Hygiene at The University of Texas Health Science Center at Houston (UTHealth) School of Dentistry, where he is also Director of Research for the Department of Periodontics and Dental Hygiene.

Following graduation from dental school, Dr. Lee served as Dental Officer in the Combined Logistics School in Taoyuan, Taiwan, and then worked as a dentist in private practice in Taipei before coming to the United States.

In pursuing educational endeavors in the US, he was awarded a Master of Science (MS) degree and certificate in Periodontics by Columbia University College of Dental Medicine in New York. He was awarded a Doctor of Medical Science (DMSc) in Oral Biology from Harvard School of Dental Medicine, and then completed a postdoctoral research fellowship in Applied Oral Sciences at the Forsyth Institute in Cambridge, Massachusetts.

Dr. Lee’s research focuses on the interaction between host response and oral microbiota in periodontitis and computer-aided diagnosis; he is also active in implantology and evidence-based dentistry. He has published over 45 peer-reviewed articles, 55 abstracts, and several book chapters. Dr. Lee has given numerous invited presentations in Taiwan and the US and is the recipient of many awards and honors. His clinical interests involve periodontal and implant treatments.

Recent Contributions to PracticeUpdate:

  1. Immediate Implant Placement With or Without Socket Grafting
  2. Effect of Omega-3 Fatty Acids on Active Periodontal Therapy
  3. Deep Convolutional Neural Network Models for Detecting Mandibular Fractures in Panoramic Radiographs
  4. Artificial Intelligence Models for Diagnosing Gingivitis and Periodontal Disease
  5. Accuracy of a One-Step Automated Orthodontic Diagnosis Model Using a Convolutional Neural Network and Lateral Cephalometric Images
  6. 2021 Top Story in Clinical Dentistry: Patient-Reported Perception of Peri-Implant Disease
  7. Development of Automatic AI-Based Neural Network Algorithms Will Enhance the Time-Efficiency and Precision of Current Digital Dentistry Workflows
  8. The Implant Disease Risk Assessment Tool May Be Useful in Predicting Risk of Developing Peri-Implantitis
  9. Effect of Compliance During Periodontal Maintenance Therapy on CRP Levels
  10. Peri-Implant Pathology Is Usually Asymptomatic and Leads to Silent Disease

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