Dr. Habib Zalzal is an otolaryngologist based in Washington, DC, with subspecialization in pediatric otolaryngology. He completed his fellowship in Pediatric Otolaryngology at Children's National Hospital/George Washington University in 2021 and his residency in Otolaryngology - Head and Neck Surgery at West Virginia University in 2020, having graduated from Georgetown University School of Medicine in 2015. His recent publications include studies on AI applications in ENT, pediatric surgical outcomes, and a quality improvement initiative in pediatric tracheostomy, among others, with works published in reputable journals such as The Laryngoscope & JAMA Otolaryngology--Head & Neck Surgery.

I am an otolaryngologist actively engaged in both clinical practice and academic research in the field of Ear, Nose and Throat (ENT) diseases. My work spans multiple areas of otolaryngology, with a particular focus on laryngology and voice disorders.

My academic interests center on the evaluation and management of laryngeal pathologies and voice disorders across different age groups. I am especially interested in integrating evidence-based approaches into daily clinical practice. In addition, I have contributed to research on laryngeal imaging, voice assessment methodologies, and the clinical application of emerging technologies, including artificial intelligence, in ENT.

I regularly participate in national and international scientific meetings, contributing to academic exchange and fostering collaborative advancements within the otolaryngology community.

Noel Ayoub, MD, MBA is a Clinical Assistant Professor at Stanford University in the Department of Otolaryngology–Head and Neck Surgery. He received his medical degree and MBA from Stanford, followed by residency training in Otolaryngology–Head and Neck Surgery at Stanford Health Care and fellowship training in Rhinology and Skull Base Surgery at Massachusetts General Hospital and Mass Eye and Ear/Harvard Medical School. His research focuses on healthcare innovation and health systems leadership, with a particular emphasis on applying AI and machine learning to improve patient care, optimize hospital operations, and reduce costs.

이제 충분한 정보를 바탕으로 귀 질환, 이명, 중이염, 뇌질환 중심의 500단어 바이오그라피를 작성하겠습니다.

Biography of Professor Jae Jun Song, MD

Dr. Jae Jun Song is an internationally recognized otolaryngologist, neuroscientist, and medical innovator whose career has been devoted to advancing the understanding and treatment of ear diseases and brain disorders. He serves as a full Professor of Otorhinolaryngology–Head and Neck Surgery at Korea University Guro Hospital in Seoul, where he has practiced and conducted research for more than two decades, establishing himself as a leading authority in otology and auditory neuroscience.

Dr. Song's clinical and academic expertise centers on disorders of the ear, with a particular emphasis on tinnitus, chronic otitis media, sudden sensorineural hearing loss, and related auditory pathologies. Recognizing that many ear disorders are inseparably linked to dysfunction in central brain networks, he has pioneered a translational research agenda that bridges peripheral auditory pathology with cognitive and neuropsychiatric conditions. His triple-network model of tinnitus, developed in collaboration with international colleagues, has become an influential framework for understanding how aberrant functional connectivity in the fronto-parietal, salience, and default-mode networks underlies the persistent perception of phantom sounds.

To date, Dr. Song has authored more than 150 peer-reviewed international publications, accumulating over 4,500 citations. His recent work, published in high-impact journals such as Brain Stimulation, Neuromodulation, and the International Journal of Neuropsychopharmacology, examines how transcutaneous auricular vagus nerve stimulation (taVNS) modulates cortical excitability, inflammatory biomarkers, and neuroplasticity. Through collaborations with Harvard Medical School, Spaulding Rehabilitation Hospital, Seoul National University, and Hallym University, he has produced systematic reviews and mechanistic analyses supporting taVNS as a therapeutic tool for major depressive disorder, chronic tinnitus, cognitive decline, and inflammation-driven conditions including gouty arthritis.

Dr. Song's career exemplifies a rare integration of rigorous clinical otology, cutting-edge neuroscience, and entrepreneurial commercialization. By conceptualizing the ear as a therapeutic gateway to the brain, he has reshaped contemporary approaches to neurotologic disease and positioned Korea at the forefront of non-invasive bioelectronic medicine for ear and brain disorders.

Assistant professor at the unit of Otolaryngology - HEAD And neck surgery, University of Brescia, Italy

Medical Degree: Yuzuncu Yıl University Faculty of Medicine, Van, Turkiye, 2002-2008

Residency: Inonu University Faculty of Medicine, Otorhinolaryngology and Head and Neck Surgery Department, Malatya, Turkiye, 2010-2014

Experience: Dicle University Faculty of Medicine, Otorhinolaryngology and Head and Neck Surgery Department, Diyarbakır, Turkiye, 2022- present

<u>Fellow program</u>

1) Transoral Laser Surgery and Head and Neck Surgery (as a fellow), in Dışkapı Research and Training Hospital (three months), Ankara, Turkey, 2021

2) University Otolaryngology Clinic at San Giovanni Bosco Hospital during the period January 1st → March 31st, (three months), Turin, Italy, 2025

Publications

1) Can deep learning replace histopathological examinations in the differential diagnosis of cervical lymphadenopathy? <u>Can S</u>, Türk Ö, Ayral M, Kozan G, Arı H, Akdag M, Baylan MY . European Archives of Oto-Rhino-Laryngology (2024) 281:359–367

2) Is the Ensemble Machine Learning Model a Reliable Method for Detecting Neoplastic Infiltration of Thyroid Cartilage in Laryngeal Cancers? <u>Can S</u>, Türk Ö, Ayral M, Kozan G, Onur M, Yagız E, Akdag M. Medicina (2025). 61(11), 1945.

3) Role of machine learning segmentation method based on CT images in preoperative staging of oral cavity cancer. Can S, Succo G, Coskun C, Korkmaz MH, Akdag M. European Archives of Oto-Rhino-Laryngology (2025). https://doi.org/10.1007/s00405-025-09824-9

Dr. Daniel Lee is a rhinologist and skull base surgeon in the Division of Rhinology in the Department of Otolaryngology – Head & Neck Surgery at the University of Toronto. He completed his residency training at the University of Toronto before pursuing an advanced fellowship in rhinology and endoscopic skull base surgery at the University of Pennsylvania. Dr. Lee’s clinical and academic focus is in advanced rhinology and endoscopic skull base surgery. He has specific focus in the use of artificial intelligence in the field of rhinology and skull base surgery in addition to clinical outcomes and epidemiological studies