1,721,073 research outputs found
Non-invasive AI-powered Diagnostics: The case of Voice-Disorder Detection - Vision paper
Full text linkThis paper proposes a novel pipeline for non-invasive diagnosis and monitoring in healthcare, leveraging artificial intelligence
(AI). The pipeline allows individuals to record various health data using everyday devices and analyze it via AI algorithms
on a cloud-based platform. Experimental results on voice disorder detection demonstrate the effectiveness of the proposed
approach when compared to existing solutions. Additionally, we discuss the positive impact of the pipeline on diagnosis,
prognosis, and monitoring, emphasizing its non-invasive nature. Overall, we think the proposed pipeline might contribute to
advancing AI-driven healthcare solutions with implications for global healthcare delivery
The Rapidly Evolving Scenario of Acoustic Voice Analysis in Otolaryngology
Full text linkThe field of voice analysis has experienced significant transformations, evolving from basic perceptual assessments to the incorporation of advanced digital signal processing and computational tools. This progression has facilitated a deeper understanding of the complex dynamics of vocal function, particularly through the use of acoustic voice analysis within a multidimensional evaluation framework. Traditionally, voice analysis relied on parameters such as fundamental frequency, jitter, shimmer, and noise-to-harmonic ratio, which, despite their utility, have faced criticism for variability and lack of robustness. Recent developments have led to a shift toward more reliable metrics such as cepstral measures, which offer improved accuracy in voice quality assessments. Furthermore, the integration of multiparametric constructs underscores a comprehensive approach to evaluating vocal quality, blending sustained vowels, and continuous speech analyses. Current trends in clinical practice increasingly favor these advanced measures over traditional parameters due to their greater reliability and clinical utility. Additionally, the emergence of artificial intelligence (AI), particularly deep learning, holds promise for revolutionizing voice analysis by enhancing diagnostic precision and enabling efficient, non-invasive screening methods. This shift toward AI-driven approaches signifies a potential paradigm change in voice health, suggesting a future where AI not only aids in diagnosis but also the early detection and treatment of voice-related pathologies
Voice Disorder Analysis: a Transformer-based Approach
Full text linkVoice disorders are pathologies significantly affecting patient quality of life. However, non-invasive automated diagnosis of these pathologies is still under-explored, due to both a shortage of pathological voice data, and diversity of the recording types used for the diagnosis. This paper proposes a novel solution that adopts transformers directly working on raw voice signals and addresses data shortage through synthetic data generation and data augmentation. Further, we consider many recording types at the same time, such as sentence reading and sustained vowel emission, by employing a Mixture of Expert ensemble to align the predictions on different data types. The experimental results, obtained on both public and private datasets, show the effectiveness of our solution in the disorder detection and classification tasks and largely improve over existing approaches
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Recurrent laryngeal papillomatosis: multimodal therapeutic strategies. Literature review and multicentre retrospective study
No full textObjectives. Recurrent respiratory papillomatosis (RRP) is a benign, rare disease caused by Human Papilloma Virus (HPV) that can be divided into juvenile and adult forms. The course of the disease is variable, but is usually more aggressive in the juvenile form. The standard surgical treatment is represented by CO2 laser resection, although photoangiolytic lasers represent a valid alternative. Adjuvant therapies have been proposed for disease control in case of frequent surgical resections or spreading into the lower airways. In recent years, the development of immunotherapy led to the use of bevacizumab either intratumorally or intravenously, but the most promising therapeutic development is represented by HPV vaccination. This paper aims to present a narrative review of the literature and the experience of three different University Centres in the treatment of RRP. Methods. A retrospective analysis of the clinical charts of all patients affected by laryngeal papillomatosis and treated in three different University Centres between 2002 and 2022 was performed. The following parameters were collected: sex, age at first evaluation, sites of larynx involved, HPV type, type of first surgical treatment, presence and number of recurrences, surgical treatment of recurrences, adjuvant therapies, side effects and status at last follow-up. Results. Seventy-eight patients were available for evaluation. Of these, 88% had adult onset RRP (Ao-RRP) and 12% juvenile onset RRP (Jo-RRP). The glottis was the most frequently involved subsite; all patients were submitted to surgical resection with CO2 laser under general anaesthesia. Recurrences appeared in 79% of the patients, the patients who did not recur were all adults. The mean number of recurrences was 9 (range 1-110). Recurrences were more frequent in children (M = 20; range 2-110) than adults (M = 5; range 1-21). Thirty-two (52%) of the 62 patients who recurred were re-treated with CO2 laser under general anaesthesia, while office-based treatment with a photoangiolytic laser was preferred in the remaining 30 (48%) patients. Adjuvant treatments were applied in 26 patients. The analysis of the course of the disease showed that in the 9 patients with Jo-RRP, 6 (67%) were free of lesions at the last follow-up, while the other 3 (33%) had papillomas. Of the 69 patients with Ao-RRP, 53 (77%) were alive and free of disease at the last visit, 14 (21%) were alive with disease, 1 (1%) was lost at follow-up and 1 (1%) died for other disease. Severe side effects were not observed except for 2 patients, who developed posterior glottic stenosis. Conclusions. Our results confirmed the literature review. RRP is a potentially aggressive disease, especially in juvenile onset. Surgical resection is still first-line treatment, but in case of multiple recurrences the use of adjuvant therapies must be taken into consideration
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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