Benedikt Schmidl, Tobias Hütten, Steffi Pigorsch, Fabian Stögbauer, Cosima C Hoch, Timon Hussain, Barbara Wollenberg, Markus Wirth
{"title":"Assessing the use of the novel tool Claude 3 in comparison to ChatGPT 4.0 as an artificial intelligence tool in the diagnosis and therapy of primary head and neck cancer cases.","authors":"Benedikt Schmidl, Tobias Hütten, Steffi Pigorsch, Fabian Stögbauer, Cosima C Hoch, Timon Hussain, Barbara Wollenberg, Markus Wirth","doi":"10.1007/s00405-024-08828-1","DOIUrl":"10.1007/s00405-024-08828-1","url":null,"abstract":"<p><strong>Objectives: </strong>Head and neck squamous cell carcinoma (HNSCC) is a complex malignancy that requires a multidisciplinary tumor board approach for individual treatment planning. In recent years, artificial intelligence tools have emerged to assist healthcare professionals in making informed treatment decisions. This study investigates the application of the newly published LLM Claude 3 Opus compared to the currently most advanced LLM ChatGPT 4.0 for the diagnosis and therapy planning of primary HNSCC. The results were compared to that of a conventional multidisciplinary tumor board; (2) Materials and Methods: We conducted a study in March 2024 on 50 consecutive primary head and neck cancer cases. The diagnostics and MDT recommendations were compared to the Claude 3 Opus and ChatGPT 4.0 recommendations for each patient and rated by two independent reviewers for the following parameters: clinical recommendation, explanation, and summarization in addition to the Artificial Intelligence Performance Instrument (AIPI); (3) Results: In this study, Claude 3 achieved better scores for the diagnostic workup of patients than ChatGPT 4.0 and provided treatment recommendations involving surgery, chemotherapy, and radiation therapy. In terms of clinical recommendations, explanation and summarization Claude 3 scored similar to ChatGPT 4.0, listing treatment recommendations which were congruent with the MDT, but failed to cite the source of the information; (4) Conclusion: This study is the first analysis of Claude 3 for primary head and neck cancer cases and demonstrates a superior performance in the diagnosis of HNSCC than ChatGPT 4.0 and similar results for therapy recommendations. This marks the advent of a newly launched advanced AI model that may be superior to ChatGPT 4.0 for the assessment of primary head and neck cancer cases and may assist in the clinical diagnostic and MDT setting.</p>","PeriodicalId":11952,"journal":{"name":"European Archives of Oto-Rhino-Laryngology","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11512878/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141901382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Luigi Angelo Vaira, Jerome R Lechien, Vincenzo Abbate, Fabiana Allevi, Giovanni Audino, Giada Anna Beltramini, Michela Bergonzani, Paolo Boscolo-Rizzo, Gianluigi Califano, Giovanni Cammaroto, Carlos M Chiesa-Estomba, Umberto Committeri, Salvatore Crimi, Nicholas R Curran, Francesco di Bello, Arianna di Stadio, Andrea Frosolini, Guido Gabriele, Isabelle M Gengler, Fabio Lonardi, Fabio Maglitto, Miguel Mayo-Yáñez, Marzia Petrocelli, Resi Pucci, Alberto Maria Saibene, Gianmarco Saponaro, Alessandro Tel, Franco Trabalzini, Eleonora M C Trecca, Valentino Vellone, Giovanni Salzano, Giacomo De Riu
{"title":"Validation of the Quality Analysis of Medical Artificial Intelligence (QAMAI) tool: a new tool to assess the quality of health information provided by AI platforms.","authors":"Luigi Angelo Vaira, Jerome R Lechien, Vincenzo Abbate, Fabiana Allevi, Giovanni Audino, Giada Anna Beltramini, Michela Bergonzani, Paolo Boscolo-Rizzo, Gianluigi Califano, Giovanni Cammaroto, Carlos M Chiesa-Estomba, Umberto Committeri, Salvatore Crimi, Nicholas R Curran, Francesco di Bello, Arianna di Stadio, Andrea Frosolini, Guido Gabriele, Isabelle M Gengler, Fabio Lonardi, Fabio Maglitto, Miguel Mayo-Yáñez, Marzia Petrocelli, Resi Pucci, Alberto Maria Saibene, Gianmarco Saponaro, Alessandro Tel, Franco Trabalzini, Eleonora M C Trecca, Valentino Vellone, Giovanni Salzano, Giacomo De Riu","doi":"10.1007/s00405-024-08710-0","DOIUrl":"10.1007/s00405-024-08710-0","url":null,"abstract":"<p><strong>Background: </strong>The widespread diffusion of Artificial Intelligence (AI) platforms is revolutionizing how health-related information is disseminated, thereby highlighting the need for tools to evaluate the quality of such information. This study aimed to propose and validate the Quality Assessment of Medical Artificial Intelligence (QAMAI), a tool specifically designed to assess the quality of health information provided by AI platforms.</p><p><strong>Methods: </strong>The QAMAI tool has been developed by a panel of experts following guidelines for the development of new questionnaires. A total of 30 responses from ChatGPT4, addressing patient queries, theoretical questions, and clinical head and neck surgery scenarios were assessed by 27 reviewers from 25 academic centers worldwide. Construct validity, internal consistency, inter-rater and test-retest reliability were assessed to validate the tool.</p><p><strong>Results: </strong>The validation was conducted on the basis of 792 assessments for the 30 responses given by ChatGPT4. The results of the exploratory factor analysis revealed a unidimensional structure of the QAMAI with a single factor comprising all the items that explained 51.1% of the variance with factor loadings ranging from 0.449 to 0.856. Overall internal consistency was high (Cronbach's alpha = 0.837). The Interclass Correlation Coefficient was 0.983 (95% CI 0.973-0.991; F (29,542) = 68.3; p < 0.001), indicating excellent reliability. Test-retest reliability analysis revealed a moderate-to-strong correlation with a Pearson's coefficient of 0.876 (95% CI 0.859-0.891; p < 0.001).</p><p><strong>Conclusions: </strong>The QAMAI tool demonstrated significant reliability and validity in assessing the quality of health information provided by AI platforms. Such a tool might become particularly important/useful for physicians as patients increasingly seek medical information on AI platforms.</p>","PeriodicalId":11952,"journal":{"name":"European Archives of Oto-Rhino-Laryngology","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11512889/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140862541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alfonso Scarpa, Emilio Avallone, Pietro De Luca, Claudia Cassandro, Pasquale Viola, Giovanni Salzano, Federico Maria Gioacchini, Francesco Antonio Salzano
{"title":"A novel seated repositioning maneuver for geotropic lateral canal BPPV: efficacy and technique.","authors":"Alfonso Scarpa, Emilio Avallone, Pietro De Luca, Claudia Cassandro, Pasquale Viola, Giovanni Salzano, Federico Maria Gioacchini, Francesco Antonio Salzano","doi":"10.1007/s00405-024-08795-7","DOIUrl":"10.1007/s00405-024-08795-7","url":null,"abstract":"<p><strong>Purpose: </strong>This study introduces and evaluates the sitting lateral canal maneuver (SLCM), a novel seated repositioning technique for treating geotropic lateral canal benign paroxysmal positional vertigo (BPPV).</p><p><strong>Methods: </strong>We conducted a retrospective chart review at the Hospital of Salerno, focusing on 26 patients diagnosed with geotropic LC-BPPV between 2021 and 2022. The SLCM was applied, and its efficacy was assessed based on the resolution of nystagmus and vertigo symptoms. A 95% confidence interval was calculated to estimate the success rate.</p><p><strong>Results: </strong>The SLCM demonstrated a high success rate, with 22 out of 26 patients (approximately 85%, 22/26 patients) showing positive outcomes. The 95% confidence interval for the success rate ranged from approximately 65.02-100%. These findings suggest that SLCM is a potentially effective intervention for LC-BPPV, especially beneficial for patients who find traditional supine or lateral maneuvers uncomfortable.</p><p><strong>Conclusion: </strong>The SLCM represents a promising alternative to traditional BPPV maneuvers, especially for patients requiring a seated approach. While the initial results are encouraging, further research with larger sample sizes and longer follow-up periods is needed to validate its efficacy and explore its full potential in the management of LC-BPPV.</p><p><strong>Level of evidence: </strong>This study represents a Level IV source of evidence, as defined by the evidence-based practice guidelines. It is a retrospective chart review that involves a moderate cohort of patients diagnosed with geotropic horizontal positional nystagmus consistent with lateral canal benign paroxysmal positional vertigo (LC-BPPV). While the study provides valuable insights into the efficacy of the sitting lateral canal maneuver (SLCM) and contributes to the existing literature on BPPV management, it is important to note the inherent limitations associated with this level of evidence.</p>","PeriodicalId":11952,"journal":{"name":"European Archives of Oto-Rhino-Laryngology","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141558412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Vittorio Rampinelli, Alberto Paderno, Carlo Conti, Gabriele Testa, Claudia Lodovica Modesti, Edoardo Agosti, Isabelle Dohin, Tommaso Saccardo, Alessandro Vinciguerra, Marco Ferrari, Alberto Schreiber, Davide Mattavelli, Piero Nicolai, Chris Holsinger, Cesare Piazza
{"title":"Artificial intelligence for automatic detection and segmentation of nasal polyposis: a pilot study.","authors":"Vittorio Rampinelli, Alberto Paderno, Carlo Conti, Gabriele Testa, Claudia Lodovica Modesti, Edoardo Agosti, Isabelle Dohin, Tommaso Saccardo, Alessandro Vinciguerra, Marco Ferrari, Alberto Schreiber, Davide Mattavelli, Piero Nicolai, Chris Holsinger, Cesare Piazza","doi":"10.1007/s00405-024-08809-4","DOIUrl":"10.1007/s00405-024-08809-4","url":null,"abstract":"<p><strong>Purpose: </strong>Accurate diagnosis and quantification of polyps and symptoms are pivotal for planning the therapeutic strategy of Chronic rhinosinusitis with nasal polyposis (CRSwNP). This pilot study aimed to develop an artificial intelligence (AI)-based image analysis system capable of segmenting nasal polyps from nasal endoscopy videos.</p><p><strong>Methods: </strong>Recorded nasal videoendoscopies from 52 patients diagnosed with CRSwNP between 2019 and 2022 were retrospectively analyzed. Images extracted were manually segmented on the web application Roboflow. A dataset of 342 images was generated and divided into training (80%), validation (10%), and testing (10%) sets. The Ultralytics YOLOv8.0.28 model was employed for automated segmentation.</p><p><strong>Results: </strong>The YOLOv8s-seg model consisted of 195 layers and required 42.4 GFLOPs for operation. When tested against the validation set, the algorithm achieved a precision of 0.91, recall of 0.839, and mean average precision at 50% IoU (mAP50) of 0.949. For the segmentation task, similar metrics were observed, including a mAP ranging from 0.675 to 0.679 for IoUs between 50% and 95%.</p><p><strong>Conclusions: </strong>The study shows that a carefully trained AI algorithm can effectively identify and delineate nasal polyps in patients with CRSwNP. Despite certain limitations like the focus on CRSwNP-specific samples, the algorithm presents a promising complementary tool to existing diagnostic methods.</p>","PeriodicalId":11952,"journal":{"name":"European Archives of Oto-Rhino-Laryngology","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141603452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A study on the efficacy of combined surgery in advanced-stage congenital cholesteatoma with canal-wall-up surgery.","authors":"Ercan Kaya, Furkan Kaya, Melike İtgin Kaya, Hamdi Çaklı, Şaziye Armağan İncesulu","doi":"10.1007/s00405-024-08820-9","DOIUrl":"10.1007/s00405-024-08820-9","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to compare the outcomes of patients with advanced congenital cholesteatoma who underwent microscopic or endoscope-combined Canal Wall Up Tympanomastoidectomy (CWUT) in our clinic and to determine the contribution of endoscope use in reducing recurrence/residual rates.</p><p><strong>Methods: </strong>In this retrospective study, the data of individuals who underwent microscopic or combined endoscopic surgery between 2008 and 2022 in our clinic were scanned from the database. Demographic data, preoperative computed tomography (CT) findings, preoperative and postoperative hearing results, operation and intraoperative status of the ossicles, duration of surgery, postoperative follow-up period, recurrence and residual disease status during follow-up were investigated.</p><p><strong>Results: </strong>The data of 37 pediatric cases operated in our clinic were included in the study. All of the included cases were Potsic Stage 4 patients who underwent CWUT. The mean age of the operated individuals was 8.7 years (5-12 years) and the mean follow-up period was 47.3 months (12-112 months). 19 cases were performed microscopically only, 2 recurrences and 5 residuals were detected. 18 cases were performed combined and 1 recurrence and 1 residual was found.</p><p><strong>Conclusion: </strong>In this study, it was determined that using an endoscope together with a microscope in congenital cholesteatoma cases, decreased the rate of recurrence and residual disease by protecting the external auditory canal in patients with advanced mastoid invasion.</p>","PeriodicalId":11952,"journal":{"name":"European Archives of Oto-Rhino-Laryngology","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141723314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigating the role of artificial intelligence in predicting perceived dysphonia level.","authors":"Saeed Saeedi, Mahshid Aghajanzadeh","doi":"10.1007/s00405-024-08868-7","DOIUrl":"10.1007/s00405-024-08868-7","url":null,"abstract":"<p><strong>Purpose: </strong>This study aims to investigate the role of one of these models in the field of voice pathology and compare its performance in distinguishing the perceived dysphonia level.</p><p><strong>Methods: </strong>Demographic information, voice self-assessments, and acoustic measurements related to a sample of 50 adult dysphonic outpatients were presented to ChatGPT and Perplexity AI chatbots, which were interrogated for the perceived dysphonia level.</p><p><strong>Results: </strong>The agreement between the auditory-perceptual assessment by experts and ChatGPT and Perplexity AI chatbots, as determined by Cohen's Kappa, was not statistically significant (p = 0.429). There was also a low positive correlation (r<sub>s</sub> = 0.30, p = 0.03) between the diagnosis made by ChatGPT and Perplexity AI chatbots (r<sub>s</sub> = 0.30, p = 0.03).</p><p><strong>Conclusion: </strong>It seems that AI could not play a vital role in helping the voice care teams determine the perceptual level of dysphonia.</p>","PeriodicalId":11952,"journal":{"name":"European Archives of Oto-Rhino-Laryngology","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142035514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sebastian Udholm, Nina B Sannino-Greve, Tejs Ehlers Klug
{"title":"Exploring tonsillar cancer associations in patients with base of tongue cancer: insights from a single-center study.","authors":"Sebastian Udholm, Nina B Sannino-Greve, Tejs Ehlers Klug","doi":"10.1007/s00405-024-08830-7","DOIUrl":"10.1007/s00405-024-08830-7","url":null,"abstract":"<p><strong>Purpose: </strong>To explore the prevalence of synchronous and metachronous tonsillar cancer in patients with base of tongue cancer, as well as identifying potential risk factors linked to these secondary malignancies. We aim to answer the following question: Should bilateral tonsillectomy be recommended to patients diagnosed with base of tongue cancer?</p><p><strong>Methods: </strong>A case-series study was conducted at Aarhus University Hospital, including all patients with histologically confirmed base of tongue squamous cell carcinoma treated between January 2012 and December 2021. Data from electronic patient records, including diagnosis of prior, synchronous or metachronous tonsillar cancer, demographics, and clinical features were analysed. Fisher's exact test was performed to assess factors associated with synchronous and metachronous tonsillar cancer.</p><p><strong>Results: </strong>Among 198 patients with base of tongue cancer, 5.6% had a history of tonsillar cancer, either prior to (4.5%), synchronous (0.5%), or metachronous (0.5%) to the base of tongue diagnosis. The prevalence of synchronous or metachronous tonsillar cancer among patients without previous bilateral tonsillectomy was 1.2%. Patients with tonsillar cancer were older, had heavier smoking histories, and exhibited less frequent P16-overexpression.</p><p><strong>Conclusion: </strong>Our findings deepen understanding of tonsillar cancer in patients with base of tongue cancer. The prevalence of synchronous or metachronous tonsillar cancer was found to be relatively low, suggesting that routine tonsillectomy for all base of tongue cancer patients is not warranted.</p>","PeriodicalId":11952,"journal":{"name":"European Archives of Oto-Rhino-Laryngology","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11512922/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141747824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hanna Frankenberger, Robert Wiebringhaus, Benedikt Paul, Patrick Huber, Frank Haubner, Moritz Gröger, Clemens Stihl
{"title":"The use of biologics in patients suffering from chronic rhinosinusitis with nasal polyps - a 4-year real life observation.","authors":"Hanna Frankenberger, Robert Wiebringhaus, Benedikt Paul, Patrick Huber, Frank Haubner, Moritz Gröger, Clemens Stihl","doi":"10.1007/s00405-024-08790-y","DOIUrl":"10.1007/s00405-024-08790-y","url":null,"abstract":"<p><strong>Purpose: </strong>Antibody therapy for chronic rhinosinusitis with nasal polyps (CRSwNP) has been established in Germany since 2019. With limited long-term data on biologic treatment for CRSwNP, we conducted a comprehensive evaluation of our 4-year data. This monocentric study aims to assess the real-world effects of this treatment on clinical course, quality of life, treatment adherence, biologic switching, dual therapy, and comorbidities.</p><p><strong>Methods: </strong>We retrospectively analysed biologic therapy data in patients with severe chronic rhinosinusitis with nasal polyps. 191 patients with CRSwNP treated with Dupilumab, Mepolizumab, or Omalizumab were observed for up to 4 years in a real-life setting.</p><p><strong>Results: </strong>We observed clear symptom improvements with few side effects. No loss of efficacy or tolerability was noted during the 4-year period. Patients reported high satisfaction compared to previous therapies, with overall improved quality of life. Revision surgery or oral steroid use during biologic therapy was rare. Some patients prolonged injection intervals or discontinued steroid nasal spray. Biologic switching occurred infrequently due to side effects or inadequate response and was generally well tolerated. Many patients reported additional positive effects such as asthma or allergy symptom improvement and reduced medication intake.</p><p><strong>Conclusion: </strong>In summary, this study confirms the potency and tolerability of biologics for CRSwNP treatment, with sustained efficacy over 4 years. Biologic switching is a viable option for inadequate response or intolerable side effects. Therapy positively impacts Th2 comorbidities, corticosteroid requirements, surgery need, and overall compliance remains high.</p><p><strong>Clinical trial registration: </strong>Project No.: 22-0802. Registry name: Biologika bei Patient*innen mit chronischer Sinusitis mit Nasenpolypen.</p>","PeriodicalId":11952,"journal":{"name":"European Archives of Oto-Rhino-Laryngology","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11512837/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141558455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ömer Tarık Kavak, Şevket Gündüz, Cabir Vural, Necati Enver
{"title":"Artificial intelligence based diagnosis of sulcus: assesment of videostroboscopy via deep learning.","authors":"Ömer Tarık Kavak, Şevket Gündüz, Cabir Vural, Necati Enver","doi":"10.1007/s00405-024-08801-y","DOIUrl":"10.1007/s00405-024-08801-y","url":null,"abstract":"<p><strong>Purpose: </strong>To develop a convolutional neural network (CNN)-based model for classifying videostroboscopic images of patients with sulcus, benign vocal fold (VF) lesions, and healthy VFs to improve clinicians' accuracy in diagnosis during videostroboscopies when evaluating sulcus.</p><p><strong>Materials and methods: </strong>Videostroboscopies of 433 individuals who were diagnosed with sulcus (91), who were diagnosed with benign VF diseases (i.e., polyp, nodule, papilloma, cyst, or pseudocyst [311]), or who were healthy (33) were analyzed. After extracting 91,159 frames from videostroboscopies, a CNN-based model was created and tested. The healthy and sulcus groups underwent binary classification. In the second phase of the study, benign VF lesions were added to the training set, and multiclassification was executed across all groups. The proposed CNN-based model results were compared with five laryngology experts' assessments.</p><p><strong>Results: </strong>In the binary classification phase, the CNN-based model achieved 98% accuracy, 98% recall, 97% precision, and a 97% F1 score for classifying sulcus and healthy VFs. During the multiclassification phase, when evaluated on a subset of frames encompassing all included groups, the CNN-based model demonstrated greater accuracy when compared with that of the five laryngologists (%76 versus 72%, 68%, 72%, 63%, and 72%).</p><p><strong>Conclusion: </strong>The utilization of a CNN-based model serves as a significant aid in the diagnosis of sulcus, a VF disease that presents notable challenges in the diagnostic process. Further research could be undertaken to assess the practicality of implementing this approach in real-time application in clinical practice.</p>","PeriodicalId":11952,"journal":{"name":"European Archives of Oto-Rhino-Laryngology","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11512876/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141603451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Authors' response to the letter to the editor: \"Conventional versus diode laser stapedotomy: audiological outcomes and clinical safety\".","authors":"Leonardo Elías Ordóñez Ordóñez, Daniela Cerón Perdomo, Claudia Paola González Saboya, Felipe Osorio Mejía, Jorge Medina-Parra, Esther Sofía Angulo Martínez","doi":"10.1007/s00405-024-08946-w","DOIUrl":"10.1007/s00405-024-08946-w","url":null,"abstract":"","PeriodicalId":11952,"journal":{"name":"European Archives of Oto-Rhino-Laryngology","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142145425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}