keyword
https://read.qxmd.com/read/38496058/the-role-of-chatbot-gpt-technology-in-undergraduate-dental-education
#1
REVIEW
Vinayak A Thorat, Prajakta Rao, Nilesh Joshi, Prakash Talreja, Anupa Shetty
This comprehensive article explores the transformative role of Chatbot GPT, based on the GPT-3 architecture, in revolutionizing dental education. The focus is on its impact across various facets, including personalized learning pathways, integration into virtual patient simulation scenarios, 24/7 accessibility, multilingual support, interactive dental dictionary functionality, evidence-based learning, and assessment and evaluation of dental students. The objective is to showcase how Chatbot GPT enhances educational experiences, promotes inclusivity, and aligns with contemporary pedagogical principles...
February 2024: Curēus
https://read.qxmd.com/read/38476267/sr-tts-a-rhyme-based-end-to-end-speech-synthesis-system
#2
JOURNAL ARTICLE
Yihao Yao, Tao Liang, Rui Feng, Keke Shi, Junxiao Yu, Wei Wang, Jianqing Li
Deep learning has significantly advanced text-to-speech (TTS) systems. These neural network-based systems have enhanced speech synthesis quality and are increasingly vital in applications like human-computer interaction. However, conventional TTS models still face challenges, as the synthesized speeches often lack naturalness and expressiveness. Additionally, the slow inference speed, reflecting low efficiency, contributes to the reduced voice quality. This paper introduces SynthRhythm-TTS (SR-TTS), an optimized Transformer-based structure designed to enhance synthesized speech...
2024: Frontiers in Neurorobotics
https://read.qxmd.com/read/38468693/neural-machine-translation-of-clinical-text-an-empirical-investigation-into-multilingual-pre-trained-language-models-and-transfer-learning
#3
JOURNAL ARTICLE
Lifeng Han, Serge Gladkoff, Gleb Erofeev, Irina Sorokina, Betty Galiano, Goran Nenadic
Clinical text and documents contain very rich information and knowledge in healthcare, and their processing using state-of-the-art language technology becomes very important for building intelligent systems for supporting healthcare and social good. This processing includes creating language understanding models and translating resources into other natural languages to share domain-specific cross-lingual knowledge. In this work, we conduct investigations on clinical text machine translation by examining multilingual neural network models using deep learning such as Transformer based structures...
2024: Frontiers in digital health
https://read.qxmd.com/read/38454985/overcoming-language-barriers-in-pediatric-care-a-multilingual-ai-driven-curriculum-for-global-healthcare-education
#4
JOURNAL ARTICLE
Fouzi Benboujja, Elizabeth Hartnick, Evelyn Zablah, Cheryl Hersh, Kevin Callans, Perla Villamor, Phoebe H Yager, Christopher Hartnick
BACKGROUND: Online medical education often faces challenges related to communication and comprehension barriers, particularly when the instructional language differs from the healthcare providers' and caregivers' native languages. Our study addresses these challenges within pediatric healthcare by employing generative language models to produce a linguistically tailored, multilingual curriculum that covers the topics of team training, surgical procedures, perioperative care, patient journeys, and educational resources for healthcare providers and caregivers...
2024: Frontiers in Public Health
https://read.qxmd.com/read/38439929/medlingua-a-conceptual-framework-for-a-multilingual-medical-conversational-agent
#5
JOURNAL ARTICLE
Galib Muhammad Shahriar Himel, Md Shourov Hasan, Umme Sadia Salsabil, Md Masudul Islam
This study introduces a hybrid model for an advanced medical chatbot addressing crucial healthcare communication challenges. Leveraging a hybrid ML model, the chatbot aims to provide accurate and prompt responses to users' health-related queries. The proposed model will overcome limitations observed in previous medical chatbots by integrating a dual-stemming approach, P-Stemmer and NLTK-Stemmer, accommodating both semitic and non-semitic languages. The system prioritizes the analysis of cognates, identification of symptoms, doctor recommendations, and prescription generation...
June 2024: MethodsX
https://read.qxmd.com/read/38421845/zeronlg-aligning-and-autoencoding-domains-for-zero-shot-multimodal-and-multilingual-natural-language-generation
#6
JOURNAL ARTICLE
Bang Yang, Fenglin Liu, Yuexian Zou, Xian Wu, Yaowei Wang, David A Clifton
Natural Language Generation (NLG) accepts input data in the form of images, videos, or text and generates corresponding natural language text as output. Existing NLG methods mainly adopt a supervised approach and rely heavily on coupled data-to-text pairs. However, for many targeted scenarios and for non-English languages, sufficient quantities of labeled data are often not available. As a result, it is necessary to collect and label data-text pairs for training, which is both costly and time-consuming. To relax the dependency on labeled data of downstream tasks, we propose an intuitive and effective zero-shot learning framework, ZeroNLG, which can deal with multiple NLG tasks, including image-to-text (image captioning), video-to-text (video captioning), and text-to-text (neural machine translation), across English, Chinese, German, and French within a unified framework...
February 29, 2024: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://read.qxmd.com/read/38271060/unlocking-the-secrets-behind-advanced-artificial-intelligence-language-models-in-deidentifying-chinese-english-mixed-clinical-text-development-and-validation-study
#7
JOURNAL ARTICLE
You-Qian Lee, Ching-Tai Chen, Chien-Chang Chen, Chung-Hong Lee, Peitsz Chen, Chi-Shin Wu, Hong-Jie Dai
BACKGROUND: The widespread use of electronic health records in the clinical and biomedical fields makes the removal of protected health information (PHI) essential to maintain privacy. However, a significant portion of information is recorded in unstructured textual forms, posing a challenge for deidentification. In multilingual countries, medical records could be written in a mixture of more than one language, referred to as code mixing. Most current clinical natural language processing techniques are designed for monolingual text, and there is a need to address the deidentification of code-mixed text...
January 25, 2024: Journal of Medical Internet Research
https://read.qxmd.com/read/38248901/the-bilingual-is-not-two-monolinguals-of-same-age-normative-testing-implications-for-multilinguals
#8
REVIEW
Samuel O Ortiz, Sarah K Cehelyk
A fundamental concept in psychological and intelligence testing involves the assumption of comparability in which performance on a test is compared to a normative standard derived from prior testing on individuals who are comparable to the examinee. When evaluating cognitive abilities, the primary variable used for establishing comparability and, in turn, validity is age, given that intellectual abilities develop largely as a function of general physical growth and neuromaturation. When an individual has been raised only in the language of the test, language development is effectively controlled by age...
December 31, 2023: Journal of Intelligence
https://read.qxmd.com/read/38126803/receptive-vocabulary-predicts-multilinguals-recognition-skills-in-adverse-listening-conditions
#9
JOURNAL ARTICLE
Lexia Suite, Galia Freiwirth, Molly Babel
Adverse listening conditions are known to affect bilingual listeners' intelligibility scores more than those of monolingual listeners. To advance theoretical understanding of the mechanisms underpinning bilinguals' challenges in adverse listening conditions, vocabulary size and language entropy are compared as predictors in a sentence transcription task with a heterogeneous multilingual population representative of a speech community. Adverse listening was induced through noise type, bandwidth manipulations, and sentences varying in their semantic predictability...
December 1, 2023: Journal of the Acoustical Society of America
https://read.qxmd.com/read/38090826/x-2-vlm-all-in-one-pre-trained-model-for-vision-language-tasks
#10
JOURNAL ARTICLE
Yan Zeng, Xinsong Zhang, Hang Li, Jiawei Wang, Jipeng Zhang, Wangchunshu Zhou
Vision language pre-training aims to learn alignments between vision and language from a large amount of data. Most existing methods only learn image-text alignments. Some others utilize pre-trained object detectors to leverage vision language alignments at the object level. In this paper, we propose to learn multi-grained vision language alignments by a unified pre-training framework that learns multi-grained aligning and multi-grained localization simultaneously. Based on it, we present X2-VLM, an all-in-one model with a flexible modular architecture, in which we further unify image-text pre-training and video-text pre-training in one model...
December 13, 2023: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://read.qxmd.com/read/38022947/multilingualism-multicultural-experience-cognition-and-creativity
#11
JOURNAL ARTICLE
Guillaume Fürst, François Grin
The once widely held notion that bilingualism is related to enhanced cognitive functions has recently been challenged, in particular among young adults, as opposed to children and older adults. This strand of research, however, is essentially focused on executive functions (e.g., attention, inhibition, and shifting). But there is another side to the bilingualism-cognition story. Indeed, growing evidence has shown that bilingualism, and by extension multilingualism, are associated with enhanced creativity. However, this relation is arguably quite complex, for several reasons...
2023: Frontiers in Psychology
https://read.qxmd.com/read/37976194/non-fluent-synthetic-target-language-data-improve-neural-machine-translation
#12
JOURNAL ARTICLE
Victor M Sanchez-Cartagena, Miquel Espla-Gomis, Juan Antonio Perez-Ortiz, Felipe Sanchez-Martinez
When the amount of parallel sentences available to train a neural machine translation is scarce, a common practice is to generate new synthetic training samples from them. A number of approaches have been proposed to produce synthetic parallel sentences that are similar to those in the parallel data available. These approaches work under the assumption that non-fluent target-side synthetic training samples can be harmful and may deteriorate translation performance. Even so, in this paper we demonstrate that synthetic training samples with non-fluent target sentences can improve translation performance if they are used in a multilingual machine translation framework as if they were sentences in another language...
November 17, 2023: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://read.qxmd.com/read/37971810/fostering-patient-clinician-communication-to-promote-rapid-hiv-hepatitis-b-virus-and-hepatitis-c-virus-diagnostic-testing-conceptual-development-of-a-multilingual-app
#13
JOURNAL ARTICLE
Carter Brown, Guillaume Roucoux, Olivia Rousset-Torrente, Saleh Ali, Lisa Yombo-Kokule, John Chaplin, Olivier Chassany, Martin Duracinsky
BACKGROUND: Migrants are disproportionately affected by HIV, hepatitis B virus (HBV), and hepatitis C virus (HCV). Clinicians, at times, fail to offer rapid diagnostic testing (RDT) for these viruses when a language barrier exists in the patient-clinician relationship, therefore creating missed testing opportunities. Although their effectiveness has been demonstrated elsewhere, conventional, in-person interpreters are costly and underused in practice. Furthermore, clinicians often call upon ad hoc interpreters, which introduces complexities in the clinical relationship...
November 16, 2023: JMIR Formative Research
https://read.qxmd.com/read/37932415/a-model-independent-redundancy-measure-for-human-versus-chatgpt-authorship-discrimination-using-a-bayesian-probabilistic-approach
#14
JOURNAL ARTICLE
Silvia Bozza, Claude-Alain Roten, Antoine Jover, Valentina Cammarota, Lionel Pousaz, Franco Taroni
The academic and scientific world in general is increasingly concerned about their inability to determine and ascertain the identity of the writer of a text. More and more often the question arises as to whether a scientific article or work handed in by a student was actually produced by the alleged author of the questioned text. The role of artificial intelligence (AI) is increasingly debated due to its dangers of undeclared use. A current example is undoubtedly the undeclared use of ChatGPT to write a scientific text...
November 6, 2023: Scientific Reports
https://read.qxmd.com/read/37928578/neuromyths-and-knowledge-about-intellectual-giftedness-in-a-highly-educated-multilingual-country
#15
JOURNAL ARTICLE
Anna Schmitt, Rachel Wollschläger, Jérémie Blanchette Sarrasin, Steve Masson, Antoine Fischbach, Christine Schiltz
INTRODUCTION: Understanding brain functioning and intellectual giftedness can be challenging and give rise to various misconceptions. Nonetheless, there seems to be a widespread fascination and appetite for these subjects among the lay public and diverse professionals. The present study is the first to investigate general knowledge about the brain, neuromyths and knowledge about giftedness in a highly multilingual and educated country. METHODS: Starting from and extending two seminal studies on neuromyths, several novel statements on intellectual giftedness have been included in order to explore knowledge and misconceptions concerning giftedness...
2023: Frontiers in Psychology
https://read.qxmd.com/read/37915897/from-electronic-health-records-to-clinical-management-systems-how-the-digital-transformation-can-support-healthcare-services
#16
REVIEW
Carlo Barbieri, Luca Neri, Stefano Stuard, Flavio Mari, José D Martín-Guerrero
Healthcare systems worldwide are currently undergoing significant transformations in response to increasing costs, a shortage of healthcare professionals and the growing complexity of medical needs among the population. Value-based healthcare reimbursement systems are emerging as an attempt to incentivize patient-centricity and cost containment. From a technological perspective, the transition to digitalized services is intended to support these transformations. A Health Information System (HIS) is a technological solution designed to govern the data flow generated and consumed by healthcare professionals and administrative staff during the delivery of healthcare services...
November 2023: Clinical Kidney Journal
https://read.qxmd.com/read/37729326/multisensory-effects-of-mask-wearing-on-speech-intelligibility-and-the-benefit-of-multilingualism
#17
JOURNAL ARTICLE
Filipa Ponte, Filipa Melo, Inês Duarte, Catarina Mendonça
PURPOSE: Due to the pandemic of the Covid-19 disease, it became common to wear masks on some public spaces. By covering mouth and nose, visual-related speech cues are greatly reduced, while the auditory signal is both distorted and attenuated. The present study aimed to analyze the multisensory effects of mask wearing on speech intelligibility and the differences in these effects between participants who spoke 1, 2 and 3 languages. METHODS: The study consisted of the presentation of sentences from the SPIN test to 40 participants...
2023: CoDAS
https://read.qxmd.com/read/37682054/intelligibility-in-context-scale-psychometric-evidence-and-implications-for-saudi-arabic-english-speaking-preschoolers
#18
JOURNAL ARTICLE
Dalia M Abdulkader, Karla N Washington, Leslie E Kokotek, Asrar Al-Tuwairqi, Anfal Al-Tamimi
Purpose : To evaluate the reliability, validity, and diagnostic accuracy (sensitivity, specificity) of the Intelligibility in Context Scale in Saudi Arabic (ICS-SA) and English (ICS-E) as potential measures of functional speech intelligibility in bilingual preschool-aged Saudi Arabian children. Method: The study included 36 parent-child (aged 3;0 to 6;5 years; months) dyads who were bilingual speakers of Saudi Arabic and English, which included two groups-typically developing (TD, n  = 29) and suspected speech sound disordered (sSSD, n  = 7)...
September 8, 2023: International Journal of Speech-language Pathology
https://read.qxmd.com/read/37673566/transformers-for-extracting-breast-cancer-information-from-spanish-clinical-narratives
#19
JOURNAL ARTICLE
Oswaldo Solarte-Pabón, Orlando Montenegro, Alvaro García-Barragán, Maria Torrente, Mariano Provencio, Ernestina Menasalvas, Víctor Robles
The wide adoption of electronic health records (EHRs) offers immense potential as a source of support for clinical research. However, previous studies focused on extracting only a limited set of medical concepts to support information extraction in the cancer domain for the Spanish language. Building on the success of deep learning for processing natural language texts, this paper proposes a transformer-based approach to extract named entities from breast cancer clinical notes written in Spanish and compares several language models...
September 2023: Artificial Intelligence in Medicine
https://read.qxmd.com/read/37656150/a-comparison-of-sound-production-treatment-and-metrical-pacing-therapy-for-apraxia-of-speech-a-single-case-experimental-design
#20
JOURNAL ARTICLE
Charlotte R King, Julie L Wambaugh, Edwin Maas
PURPOSE: The purpose of this investigation was to compare the effects of two specific treatment protocols for acquired apraxia of speech (AOS): Sound Production Treatment (SPT) and Metrical Pacing Therapy (MPT), and to examine changes in communicative participation. METHOD: Four speakers with chronic AOS and aphasia were each administered SPT and MPT in a replicated crossover design (ABACA/ACABA) with nonconcurrent multiple baselines across participants and behaviors...
September 1, 2023: American Journal of Speech-language Pathology
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