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http://dx.doi.org/10.1038/d41586-021-01410-3 | DOI Listing |
Recenti Prog Med
March 2025
Department of Psychiatry, WMU Homer Stryker School of Medicine, Kalamazoo, USA.
ChatGPT, the latest advancement in Artificial Intelligence (AI), represents one of the most advanced and rapidly evolving chatbot technologies to date. Its capability to provide swift and intelligent responses has garnered admiration from scientists and educators globally. Particularly, the healthcare sector stands to gain significantly from the integration of systems like ChatGPT, with benefits including enhanced productivity, reduced expenses, and improved patient outcomes.
View Article and Find Full Text PDFJMIR Res Protoc
March 2025
Institute for Data Science and Informatics, University of Missouri, Columbia, MO, United States.
Background: Amyotrophic lateral sclerosis (ALS) leads to rapid physiological and functional decline before causing untimely death. Current best-practice approaches to interdisciplinary care are unable to provide adequate monitoring of patients' health. Passive in-home sensor systems enable 24×7 health monitoring.
View Article and Find Full Text PDFSci Rep
March 2025
Department of Communication Sciences and Disorders, Saint Mary's College, Notre Dame, IN, USA.
Speech emotion recognition (SER) is an important application in Affective Computing and Artificial Intelligence. Recently, there has been a significant interest in Deep Neural Networks using speech spectrograms. As the two-dimensional representation of the spectrogram includes more speech characteristics, research interest in convolution neural networks (CNNs) or advanced image recognition models is leveraged to learn deep patterns in a spectrogram to effectively perform SER.
View Article and Find Full Text PDFData Brief
April 2025
Department of Computer Science and Engineering, Daffodil International University, Daffodil Smart City, Birulia, Dhaka 1216, Bangladesh.
The Asian subcontinent produces a vast range of fruits throughout the seasons. However, correctly classifying these fruits according to their qualities can be difficult, frequently necessitating the knowledge of fruit experts and cutting-edge equipment to produce accurate results. Therefore, to enable sophisticated grading methods that efficiently sort and evaluate fruit quality based on various characteristics (such as form, color, size, texture, and other crucial parameters), A unique dataset is deployed to support advanced grading systems.
View Article and Find Full Text PDFJ Med Internet Res
March 2025
Language Technology Lab, University of Cambridge, Cambridge, United Kingdom.
Background: Natural language processing (NLP) has the potential to promote public health. However, applying these technologies in African health systems faces challenges, including limited digital and computational resources to support the continent's diverse languages and needs.
Objective: This scoping review maps the evidence on NLP technologies for public health in Africa, addressing the following research questions: (1) What public health needs are being addressed by NLP technologies in Africa, and what unmet needs remain? (2) What factors influence the availability of public health NLP technologies across African countries and languages? (3) What stages of deployment have these technologies reached, and to what extent have they been integrated into health systems? (4) What measurable impact has these technologies had on public health outcomes, where such data are available? (5) What recommendations have been proposed to enhance the quality, cost, and accessibility of health-related NLP technologies in Africa?
Methods: This scoping review includes academic studies published between January 1, 2013, and October 3, 2024.
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