Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: a review

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Speech Confusion Index (Ø): A Recognition Rate Indicator for Dysarthric Speakers

Kayasith, P., Theeramunkong, T., & Thubthong, N. (2006) · Lecture notes in computer science · doi:10.1007/11816508_60 · Cited by 4 · see citing works

Interactive Cognitive Training Tool Designed for Autism Spectrum Disorder Children

Liu, Y., Zuo, S., & Hsu, C.-L. (2021) · Sensors and Materials · doi:10.18494/sam.2021.3024 · Cited by 4 · see citing works

Classification of Depression and Other Psychiatric Conditions Using Speech Features Extracted from a Thai Psychiatric and Verbal Screening Test

Klangpornkun, N., Ruangritchai, M., Munthuli, A., Onsuwan, C., Jaisin, K., Pattanaseri, K., Lortrakul, J., Thanakulakkarachai, P., Anansiripinyo, T., Amornlaksananon, A., et al. (2021) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc46164.2021.9629571 · Cited by 4 · see citing works

Waveform Analysis and Feature Extraction from Speech Data of Dysarthric Persons

Balaji, V., & Sadashivappa, G. (2019) · International Conference on Signal Processing and Integrated Networks (SPIN) · doi:10.1109/spin.2019.8711768 · Cited by 4 · see citing works

Dr. “Multi-Task”: Using Speech to Build Up Electronic Medical Records While Caring for Patients

Shagoury, J. (2010) · Springer eBooks · doi:10.1007/978-1-4419-5951-5_11 · Cited by 4 · see citing works

Detecting and Analysing Spontaneous Oral Cancer Speech in the Wild

Halpern, B. M., Son, R. V., Brekel, M. V. D., & Scharenborg, O. (2020) · Interspeech 2020 · doi:10.21437/interspeech.2020-1598 · Cited by 4 · see citing works

Speech interfacing for diagnosis reporting systems: an overview

de Bruijn, L. M., Verheijen, E. N. G., Hasman, A., van Nes, F. L., & Arends, J. W. (1995) · Computer Methods and Programs in Biomedicine · doi:10.1016/0169-2607(95)01676-k · Cited by 3 · see citing works

Transcription makeover. Virginia's Rockingham Memorial Hospital improves its clinical documentation process by implementing advanced speech-recognition technologies.

Rozmus, M. (2010) · PubMed · Cited by 3 · see citing works

An Utterance Verification System for Word Naming Therapy in Aphasia

Barbera, D. S., Huckvale, M. A., Fleming, V., Upton, E., Coley-Fisher, H., Shaw, I., Latham, W., Leff, A. P., & Crinion, J. (2020) · Interspeech (USB) · doi:10.21437/interspeech.2020-2265 · Cited by 3 · see citing works

Making a Distinction Between Schizophrenia and Bipolar Disorder Based on Temporal Parameters in Spontaneous Speech

Gosztolya, G., Bagi, A., Szalóki, S., Szendi, I., & Hoffmann, I. (2020) · Interspeech (USB) · doi:10.21437/interspeech.2020-0049 · Cited by 3 · see citing works

AI-driven assistive technologies in inclusive education: benefits, challenges, and policy recommendations

Kooli, C., & CHAKRAOUI, R. (2025) · Sustainable Futures · doi:10.1016/j.sftr.2025.101042 · Cited by 81 · see citing works

Transcribing in the digital age: qualitative research practice utilizing intelligent speech recognition technology

Eftekhari, H. (2024) · European Journal of Cardiovascular Nursing · doi:10.1093/eurjcn/zvae013 · Cited by 72 · see citing works

Artificial intelligence in endodontics: Data preparation, clinical applications, ethical considerations, limitations, and future directions

Mohammad‐Rahimi, H., Sohrabniya, F., Ourang, S. A., Dianat, O., Aminoshariae, A., Nagendrababu, V., Dummer, P. M. H., Duncan, H. F., & Nosrat, A. (2024) · International Endodontic Journal · doi:10.1111/iej.14128 · Cited by 70 · see citing works

The influence of artificial intelligence techniques on disruption management: Does supply chain dynamism matter?

Samadhiya, A., Yadav, S., Kumar, A., V, Majumdar, A., Luthra, S., Garza‐Reyes, J. A., & Upadhyay, A. (2023) · Technology in Society · doi:10.1016/j.techsoc.2023.102394 · Cited by 52 · see citing works

Leveraging artificial intelligence in neurosurgery—unveiling ChatGPT for neurosurgical discharge summaries and operative reports

Dubinski, D., Won, S.-Y., Trnovec, S., Behmanesh, B., Baumgarten, P., Dinc, N., Konczalla, J., Chan, A., Bernstock, J. D., Freiman, T. M., et al. (2024) · Acta Neurochirurgica · doi:10.1007/s00701-024-05908-3 · Cited by 45 · see citing works

The digital transformation of nursing practice: an analysis of advanced IoT technologies and smart nursing systems

Wang, B.-Y., Shi, X., Han, X., & Xiao, G. (2024) · Frontiers in Medicine · doi:10.3389/fmed.2024.1471527 · Cited by 40 · see citing works

Improved genetic algorithm for multi-threshold optimization in digital pathology image segmentation

Huang, T., Yin, H., & Huang, X. (2024) · Scientific Reports · doi:10.1038/s41598-024-73335-6 · Cited by 26 · see citing works

Diagnosis of pathological speech with streamlined features for long short-term memory learning

Pham, T. D., Holmes, S. B., Zou, L., Patel, M., & Coulthard, P. (2024) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.107976 · Cited by 23 · see citing works

Multi-resource constrained elective surgical scheduling with Nash equilibrium toward smart hospitals

Xue, J. F., Li, Z., & Zhang, S. (2025) · Scientific Reports · doi:10.1038/s41598-025-87867-y · Cited by 23 · see citing works

Artificial Intelligence and the Future of Communication Sciences and Disorders: A Bibliometric and Visualization Analysis

Zhang, M., Tang, E., Ding, H., & Zhang, Y. (2024) · Journal of Speech, Language, and Hearing Research · doi:10.1044/2024_jslhr-24-00157 · Cited by 22 · see citing works

Improved healthcare diagnosis accuracy through the application of deep learning techniques in medical transcription for disease identification

Elhadad, A., Alrashdi, I., Albarrak, A. M., Elrefaey, S. R., Elsayed, H. A. E., Embarak, F. M., Ulmas, Z., & El–Ebiary, Y. A. B. (2025) · Alexandria Engineering Journal · doi:10.1016/j.aej.2025.03.047 · Cited by 18 · see citing works

Machine learning-based speech recognition system for nursing documentation – A pilot study

Lee, T., Li, C.-C., Chou, K., Chung, M., Hsiao, S.-T. S., Guo, S.-L., Hung, L.-Y., & Wu, H. (2023) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2023.105213 · Cited by 16 · see citing works

Analysis of Affective Computing for Marathi Corpus using Deep Learning

Gupta, N., Thakur, V., Patil, V., Vishnoi, T., & Bhangale, K. B. (2023) · International Conference for Emerging Technology (INCET) · doi:10.1109/incet57972.2023.10170346 · Cited by 14 · see citing works

Voice Assistant and Gesture Controlled Virtual Mouse using Deep Learning Technique

Raja, M., Nagaraj, P., Sathwik, P., Khan, K. M. A., Kumar, N. M., & Prasad, U. S. (2023) · International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) · doi:10.1109/icscds56580.2023.10104619 · Cited by 14 · see citing works

Bionic programmed wearable actuators based on 4D printing of liquid metal-spidroin-liquid crystal elastomer composite

Wang, B., Gao, B., Ma, B., & Jiang, S. (2024) · Virtual and Physical Prototyping · doi:10.1080/17452759.2024.2349677 · Cited by 13 · see citing works

Technical requirements and optimization strategies for home-based teleradiology workstations: a review article

Alhasan, M. S., & Alhasan, A. S. (2025) · Insights into Imaging · doi:10.1186/s13244-025-02081-8 · Cited by 12 · see citing works

Application of ChatGPT as a support tool in the diagnosis and management of acute bacterial tonsillitis

Mayo‐Yáñez, M., González-Torres, L., Saibene, A. M., Allevi, F., Vaira, L. A., Maniaci, A., Chiesa-Estomba, C. M., & Lechien, J. R. (2024) · Health and Technology · doi:10.1007/s12553-024-00858-3 · Cited by 12 · see citing works

Touchless Interaction for Smart Glasses in Emergency Medical Services: User Needs and Experiences

Zhang, Z., Bai, E., Stepanian, A., Jagannath, S., & Park, S. Y. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2328917 · Cited by 9 · see citing works

Deep Learning-based Analysis of Affective Computing for Marathi Corpus

Bhangale, K. B., Dhake, D., Kawade, R. R., Dhamale, T. D., Patil, V., Gupta, N., Thakur, V., & Vishnoi, T. (2023) · International Conference on Intelligent Technologies (CONIT) · doi:10.1109/conit59222.2023.10205770 · Cited by 8 · see citing works

Augmented dialectal speech recognition for AI-based neuropsychological scale assessment in Alzheimer’s disease

Zhang, M., Cui, Q., Li, W., Yu, W., Chen, L., Li, W., Zhu, C., & Lü, Y. (2024) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.106821 · Cited by 8 · see citing works

Estimating the severity of obstructive sleep apnea during wakefulness using speech: A review

TaghiBeyglou, B., Čuljak, I., Bagheri, F., Suntharalingam, H., & Yadollahi, A. (2024) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.109020 · Cited by 7 · see citing works

Enhancing clinical documentation with voice processing and large language models: a study on the LAOS system

Xu, Y., Jia, H., Wang, M., Feng, J., Xu, X., Wang, H., Chen, J., Zheng, Z., Xiaoyan, Y., Shen, Y., et al. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-02170-4 · Cited by 7 · see citing works

CT-FEM of the human thorax: Frequency response function and 3D harmonic analysis at resonance

Uzundurukan, A., Poncet, S., Boffito, D. C., & Micheau, P. (2024) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2024.108062 · Cited by 7 · see citing works

Use and acceptance of voice assistants among people with aphasia in Germany

Núñez Macías, N., Hielscher-Fastabend, M., & Buschmeier, H. (2023) · Frontiers in Communication · doi:10.3389/fcomm.2023.1176475 · Cited by 5 · see citing works

How does comprehension affect user experience quality in multilanguage voice-activated intelligent education?

Gao, E., Liu, Y., Zhou, Y., Guo, J., & Chen, Z. (2025) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2025.103551 · Cited by 5 · see citing works

Machine Learning-Based Identification of Phonological Biomarkers for Speech Sound Disorders in Saudi Arabic-Speaking Children

Turki, D. F., & Turki, A. F. (2025) · Diagnostics · doi:10.3390/diagnostics15111401 · Cited by 5 · see citing works

Artificial Intelligence in Medicine: A New Frontier

Haque, M. A., & Islam, Q. T. (2024) · Bangladesh Journal of Medicine · doi:10.3329/bjm.v35i2.72811 · Cited by 5 · see citing works

5G-Optimized Deep Learning Framework for Real-Time Multilingual Speech-to-Speech Translation in Telemedicine Systems

Sravan, M. S., & Prof Venkata Rao, K. (2025) · Informatica · doi:10.31449/inf.v49i2.7826 · Cited by 4 · see citing works

Contrasting nursing students’ and working staff’s conceptions and motivation of using smart technologies in medical contexts: a draw-a-picture technique and epistemic network analysis

Huang, H., Tu, Y.-F., Hwang, G., Lin, H., & Hu, D. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13746-8 · Cited by 4 · see citing works

Acceptance of voice assistant technology in dental practice: A cross sectional study with dentists and validation using structural equation modeling

Warren, S., Claman, D. B., Meyer, B. D., Peng, J., & Sezgın, E. (2024) · PLOS Digital Health · doi:10.1371/journal.pdig.0000510 · Cited by 3 · see citing works

A Photoluminescent Uranyl Complex for Dual-Platform X-ray Dose Detection

Li, C., Xie, J., Hu, B., Zhang, H., & Lu, H. (2025) · Inorganic Chemistry · doi:10.1021/acs.inorgchem.5c02631 · Cited by 3 · see citing works

Multi-Parameter and Multi-Layer Observations of Electromagnetic Precursors to a Huge Hokkaido Earthquake (M = 6.7) on 5 September, 2018, and Lithosphere–Atmosphere–Ionosphere Coupling Channel

Hayakawa, M., Solovieva, M., Kopylova, G., Hirooka, S., Sasmal, S., Nanda, K., Yang, S., Michimoto, K., & Hinata, H. (2025) · Atmosphere · doi:10.3390/atmos16121372 · Cited by 3 · see citing works

Investigating the Role of Future Hospitals in Health Promotion: Global Evidence and Experiences

Eskandari, F., Tabibi, S. J., Riahi, L., & Nazarimanesh, L. (2025) · Health Scope · doi:10.5812/healthscope-157316 · Cited by 2 · see citing works

Artificial Intelligence in Stroke Patient Care A Systematic Review

Basuki, S., Winanti, W., Jumiran, Riyanto, R., Tiara, B., Haniyyah, & Henry, B. N. (2025) · International Conference on Creative Communication and Innovative Technology (ICCIT) · doi:10.1109/iccit65724.2025.11166896 · Cited by 2 · see citing works

Smart Hospital Privacy Protection System Based On Cloud Computing Iot

Sen, L., Luo, D., Liu, X., & Luo, R. (2024) · Procedia Computer Science · doi:10.1016/j.procs.2024.09.069 · Cited by 1 · see citing works

Evaluating remote healthcare practices: Experiences and recommendations of healthcare professionals on smart applications

Baştürk, F., Tokat, A. O., Öztürk, O., Kader, Ç., & Işıkay, L. (2025) · Digital Health · doi:10.1177/20552076251315786 · Cited by 1 · see citing works

Speech Activated Virtual Cursor Using NLP

Sharmavel, S., Vignesh, U., Yogesh, M., & Thilakraj, M. (2025) · OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry (OTCON) · doi:10.1109/otcon65728.2025.11070664 · Cited by 1 · see citing works

Educación y Práctica Clínica en la era Digital: Una Revisión Narrativa sobre Innovación y Cuidado

Pérez-Reyes, G. E., García‐Curiel, L., Pérez‐Flores, J. G., Fuentes-Sánchez, I. E., Chávez, O. R. F., & Angel-García, J. (2025) · Ciencia Latina Revista Científica Multidisciplinar · doi:10.37811/cl_rcm.v9i3.18246 · Cited by 1 · see citing works

Prediction of Speech Impairment in Patients Treated for Oral or Oropharyngeal Cancer Using Automatic Speech Analysis

Balaguer, M., Pinquier, J., Farinas, J., & Woisard, V. (2025) · International Journal of Language & Communication Disorders · doi:10.1111/1460-6984.70103 · Cited by 1 · see citing works

Investigation of Surgical Nurses' Anxiety and General Attitudes Towards Artificial Intelligence

Guneş, H., Okutan, Ş., Dolanbay, N., & Bostancı, M. E. (2025) · Journal of Basic and Clinical Health Sciences · doi:10.30621/jbachs.1721430 · Cited by 1 · see citing works

Technological Advancements in Non-verbal Communication with an OpenCV Framework for Gesture Translation

Kanagamalliga, S., Rajalingam, S., Karthikeyan, P., & Padmeshwaraan, P. (2026) · Smart innovation, systems and technologies · doi:10.1007/978-981-96-8126-6_8 · Cited by 1 · see citing works

AI Systems for Physicians: A Review from Socio-technical and Human-Computer Interaction Perspectives

Young, J. W., & Nah, F. F. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-13167-6_12 · Cited by 1 · see citing works

UltraReporter for transforming spoken diagnostic cues into structured ultrasound reports with large language models

Hao, P., Zhang, J., Zhang, S., Wu, F., & Tian, S. (2026) · Scientific Reports · doi:10.1038/s41598-026-41439-w · Cited by 1 · see citing works

Advances in AI-Powered Medical Transcription: Implications for Clinical Practice, Radiology, and Future Interface Technologies

Mehta, P., Ajmera, P., Iyengar, A., & Botchu, R. (2026) · Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging · doi:10.1055/s-0046-1820451 · Cited by 1 · see citing works

Automatic Speech Recognition in Healthcare in the Post-LLM Era: A Scoping Review

Alabbad, M., & Alhoshan, W. (2026) · Healthcare · doi:10.3390/healthcare14101333 · Cited by 1 · see citing works

Speech Feature-Based Machine Learning Model and Smart Devices for Stroke Early Recognition

Yang, Y., Lin, Y., Liu, C., Li, Z., Mei, K., Wu, J., Xiao, Y., & Zhang, J. (2023) · International Conference on Advanced Robotics and Mechatronics (ICARM) · doi:10.1109/icarm58088.2023.10218802 · Cited by 1 · see citing works

Detection of Upper Limb Motor Dysfunction for Stroke Patients Using a Wearable Device and a Two-Layer LSTM Model

Li, Z., Mei, K., Lin, Y., Yang, Y., Liu, C., Xiao, Y., & Zhang, J. (2023) · International Conference on Advanced Robotics and Mechatronics (ICARM) · doi:10.1109/icarm58088.2023.10218976

Implementation of artificial intelligence in speech (voice input) in the conditions of a high-flow endoscopy

Shabunin, A. V., Владимирович, Б. В., Korzheva, I. Y., Osmak, E. K., Orlov, S. Y., Vasiliev, I. V., Nesterov, D. V., & Alepko, A. A. (2023) · Экспериментальная и клиническая гастроэнтерология · doi:10.31146/1682-8658-ecg-213-5-5-12

Blockchain based multi-signature smart contract electronic seal orienting mobile IoT terminals

Liu, C., & Feng, T. (2024) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-024-01765-0

HOSPITAL ERRORS AND THEIR CONSEQUENCES AT URMIA SHAHID MOTAHARI HOSPITAL IN 2022 AND 2023 AND PROPOSING PREVENTIVE STRATEGIES: A DESCRIPTIVE SURVEY STUDY

Salamatbakhsh, M., Hosseinzadegan, F., Salehzadeh, M., & Mohammadpour, Y. (2024) · Nursing and Midwifery Journal · doi:10.61186/unmf.22.5.379

Piezoelectric Sensing of Mask Surface Waves for Noise-Suppressive Speech Input

Hiraki, H., & Rekimoto, J. (2024) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3672539.3686331

A Comparative Study on Natural Language Processing Approaches for Medical Prescription Classification Using Deep Learning Techniques

Sravanthi, V., & Malla, S. J. (2024) · IEEE Delhi Section Conference (DELCON) · doi:10.1109/delcon64804.2024.10867217

Effectiveness of conversational script optimization by intelligent consultation robots on daily work efficiency in vaccination clinics

Zhou, B., Yan, X., Shi, J., Xiang, Y., Chen, D., Yao, Q., & Yinjun, H. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1535270

Formaldehyde containment efficiency with a next-generation grossing station promising safer use in anatomical pathology practice

Dugheri, S., Cappelli, G., Rapi, I., Fanfani, N., Squillaci, D., Baldassarre, A., Traversini, V., Sio, S. D., & Mucci, N. (2025) · Archives of Industrial Hygiene and Toxicology · doi:10.2478/aiht-2025-76-3971

Machine Learning and Word Representation Techniques in Medical Transcription Data Analysis

Danties, A., Banu, P. K. N., Azar, A. T., Kamal, N. A., Tounsi, M., & Njima, C. B. (2025) · International Conference on Control, Automation and Diagnosis (ICCAD) · doi:10.1109/iccad64771.2025.11099201

Smart hospital: An introduction

Miglani, A., & Shah, M. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-33984-4.00014-6

Modeling an Electric Wheelchair with Solar Energy Integration and Enhanced Control

Roy, S., Das, D. C., Shukla, R. D., Brahmaiah, V. S., Bhowmik, P., & Ghosh, S. (2025) · Lecture notes in networks and systems · doi:10.1007/978-981-96-4741-5_13

Towards Adaptive Individual Health Parameter Monitoring

Arvinte, R., & Trandabăţ, D. (2025) · Lecture notes in networks and systems · doi:10.1007/978-981-96-6429-0_18

MaskClip: Detachable Clip-on Piezoelectric Sensing of Mask Surface Vibrations for Real-time Noise-Robust Speech Input

Hiraki, H., & Rekimoto, J. (2025) · Augmented Humans International Conference (AHs) · doi:10.1145/3745900.3746088

Multimodal journaling as engagement tool for parents of premature babies

Boda, P., & Vetek, A. (2025) · Informatics for Health and Social Care · doi:10.1080/17538157.2025.2585308

AUTOMATED SPEECH RECOGNITION TRANSCRIPTION AND SIGN LANGUAGE CHARACTER ANIMATION ON LEARNING MEDIA

Widiartha, K. K., Agustini, K., Tegeh, I. M., & Warpala, I. W. S. (2025) · Veredas do Direito Direito Ambiental e Desenvolvimento Sustentável · doi:10.18623/rvd.v22.n7.4211

Advancing Dysarthric Speech-to-Text Recognition with LATTE: A Low-Latency Acoustic Modeling Approach for Real-Time Communication

Ain, Q. U., Afzal, H., Subhan, F., Su’ud, M. M., & Jung, Y. (2026) · Big Data · doi:10.1177/2167647x251411174

Backpropagation and artificial intelligence truth

Marwala, T. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-36322-1.00032-8

Conversational Force Adaptation for Robotic Massage using Recipient Speech

Kimura, H., Hsu, C.-K., Ito, T., Harada, N., Kitazaki, M., & Tasaki, R. (2026) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3776734.3794562

Function evaluation of intelligent interaction voice prompting system on personal protective equipment removal for medical staff

Yang, S., Li, M.-R., Zhang, H.-L., Xia, J.-J., Luo, H.-X., You, Z.-L., Li, T.-T., & You, J.-P. (2026) · BMC Health Services Research · doi:10.1186/s12913-026-14512-3

Explainable AI (XAI) for Dysarthric Speech Detection Using Sequential Attention and Convolutional-Temporal Frameworks on Consumer Healthcare Devices

Ain, Q. U., Afzal, H., Islam, I. U., Khan, J., Jung, Y., & Sivakumar, N. R. (2026) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2026.3689688

Robot-Assisted Oral Examination: Challenges and Innovations

Ge, Y., Wang, W., Zhao, T., Liu, D., Fan, S., Liu, P., Li, W., Sun, H., & Liu, X. (2026) · International Dental Journal · doi:10.1016/j.identj.2026.109670

A Conceptual Framework for a Predictive Safety-Oriented Smart Hospital Architecture

Karibekov, T., Biloshchytskyi, A., & Mukushev, M. (2026) · IEEE International Conference on Smart Information Systems and Technologies (SIST) · doi:10.1109/sist61674.2026.11596509

Artificial Intelligence and Automation in Pre-analytical Phase of Laboratory Testing: A Narrative Review

Khan, R. A., Chowdhry, V., Sharma, N., & Thadani, D. (2026) · Apollo Medicine · doi:10.1177/09760016261470878

VocaSense-X Framework: Advancing Voice Medicine Through Intelligent Diagnosis and Rehabilitation

Wu, K., & Reyes, S. (2026) · Journal of Voice · doi:10.1016/j.jvoice.2026.08.028

A Context-Aware Speech Completion Method Based on Multi-Agent Collaborative Decision-Making

Zhang, Z., Pang, X., Li, W., & Li, L. (2026) · International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC) · doi:10.1109/aiotc71250.2026.11689507

Adaptive Deep Learning Framework for Enhancing Computer Interaction Among Persons with Disabilities

Sundaresan, K., Gowri, G., Srichandrakirti, P., Sanya, U., Krishnadhevan, N., & Mathiyarasu, J. (2026) · International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) · doi:10.1109/i-smac70384.2026.11747377

Innovative Research on Intelligent Speech Recognition Technology in Intelligent Medical Applications

Qin, B. (2026) · International Conference on Artificial Intelligence and Digital Services · doi:10.1145/3803686.3803714

Intelligent and Interactive Healthcare System (I2HS) Using Machine Learning

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Innovation research and application demonstration on hospital intelligent speech customer service system

Chong-de, S. (2013) · China Medical Equipment

浅谈智能语音识别在医疗领域的应用现状与发展前景

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Speech recognition technology: an outlook for human-to-machine interaction.

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