Development and Validation of a Machine Learning Method Using Vocal Biomarkers for Identifying Frailty in Community-Dwelling Older Adults: Cross-Sectional Study by Taehwan Kim, Jung-Yeon Choi, Myung Jin Ko, Kwang-il Kim

“…Voice recordings were collected with a tablet device during the Korean version of the PDT, and we preprocessed audio data to remove background noise before feature extraction. Three artificial intelligence (AI) models were developed for identifying frailty status: SpeechAI (using speech data only), DemoAI (using demographic data only), and DemoSpeechAI (combining both data types). …”
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Smart Driving Hardware Augmentation by Flexible Piezoresistive Sensor Matrices with Grafted‐on Anticreep Composites by Kaifeng Chen, Hua Yang, Ang Wang, Linsen Tang, Xin Zha, Ndeutala Selma Iita, Hong Zhang, Zhuoxuan Li, Xinyu Wang, Wei Yang, Shaoxing Qu, Zongrong Wang

“…Abstract Signal drift and hysteresis of flexible piezoresistive sensors pose significant challenges against the widespread applications in emerging fields such as electronic skin, wearable equipment for metaverse and human‐AI (artificial intelligence) interfaces. To address the creep and relaxation issues associated with pressure‐sensitive materials, a highly stable piezoresistive composite is proposed, using polyamide‐imide (PAI) fibers as the matrix and in situ grafted‐polymerized polyaniline (PANI) as the semi‐conducting layer. …”
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Adjusting on-scene CPR duration based on transport time interval in out-of-hospital cardiac arrest: a nationwide multicenter study by Daseul Kim, Jae Yong Yu, Minha Kim, Gun Tak Lee, Sang Do Shin, Sung Yeon Hwang, Daun Jeong

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Targeted nanoliposomes for precision rheumatoid arthritis therapy: a review on mechanisms and in vivo potential by Rushikesh Girase, Nayan A. Gujarathi, Amey Sukhia, Sri Sai Nikitha Kota, Tulshidas S. Patil, Abhijeet A. Aher, Yogeeta O. Agrawal, Shreesh Ojha, Charu Sharma, Sameer N. Goyal

“…In the future, integrating these advanced liposomes with artificial intelligence, immunotherapy, and precision medicine holds great promise.…”
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Chemically Engineered GaN Thin Films for Light‐Stimulated Artificial Synapses by Xiaoqin Yang, Jiawen Lu, Luyu Zhao, Xiaorui Han, Zhongwei Bai, Peiwen Quan, Liangshuai Xie, Liang Li, Haoxuan Sun, Mark Hermann Rummeli, Bingcheng Luo, Hong Gu

“…In this research, an effective strategy for developing photonic synapses using GaN‐based materials in neuromorphic computing and bio‐realistic artificial intelligence systems is presented.…”
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Comparative analysis of deep learning models for crack detection in buildings by S. Siva Rama Krishnan, M. K. Nalla Karuppan, Adil O. Khadidos, Alaa O. Khadidos, Shitharth Selvarajan, Saarthak Tandon, Balamurugan Balusamy

“…The development of Artificial Intelligence (AI) techniques, provide favourable solutions in-order to handle, manage and solve building cracks, through analysis using deep image neural network models, that perform classification of the building with crack images. …”
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Advancing Horticultural Crop Loss Reduction Through Robotic and AI Technologies: Innovations, Applications, and Practical Implications by H. W. Gammanpila, M. A. Nethmini Sashika, S. V. G. N. Priyadarshani

“…The introduction of advanced technologies such as robotics and artificial intelligence (AI) holds great promise in mitigating crop losses and bolstering productivity in the field of horticulture. …”
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Digital Tools, Technologies, and Learning Methodologies for Education 4.0 Frameworks: A STEM Oriented Survey by Angeliki Boltsi, Konstantinos Kalovrektis, Apostolos Xenakis, Periklis Chatzimisios, Costas Chaikalis

“…These constitute smart sensors, Artificial Intelligence (AI) and Robotics. In this context, University graduates need to prepare themselves with complex problem solving and interdisciplinary problems. …”
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AI-based automatic patient positioning in a digital-BGO PET/CT scanner: efficacy and impact by John A. Kennedy, Tala Palchan-Hazan, Zohar Keidar

“…Abstract Background A recently released digital solid-state positron emission tomography/x-ray CT (PET/CT) scanner with bismuth germanate (BGO) scintillators provides an artificial intelligence (AI) based system for automatic patient positioning. …”
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Deep learning based tractography with TractSeg in patients with hemispherotomy: Evaluation and refinement by Johannes Gruen, Tobias Bauer, Theodor Rüber, Thomas Schultz

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Metaverse Clinic for Pregnant Women With Subclinical Hypothyroidism: Prospective Randomized Study by Yuanyuan Zheng, Yizhen Chen, Yan Chen, Liang Lin, Ting Xue, Chuhui Chen, Junping Wen, Wei Lin, Gang Chen

“…The metaverse, a shared virtual space, integrates technologies such as augmented reality, virtual reality, blockchain, and artificial intelligence. It allows users to interact with immersive digital worlds, connect with others, and explore unknowns. …”
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Psychosocial and pharmacologic interventions for problematic methamphetamine use: Findings from a scoping review of the literature. by Mona Hersi, Kim Corace, Candyce Hamel, Leila Esmaeilisaraji, Danielle Rice, Nicole Dryburgh, Becky Skidmore, Gary Garber, Amy Porath, Melanie Willows, Paul MacPherson, Beth Sproule, Jorge Flores-Aranda, Chandlee Dickey, Brian Hutton

“…Screening was performed following a two-stage process, leveraging artificial intelligence to increase efficiency of title and abstract screening. …”
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Enhancing Medical Student Engagement Through Cinematic Clinical Narratives: Multimodal Generative AI–Based Mixed Methods Study by Tyler Bland

“…ObjectiveThis study aims to enhance the teaching of clinical pharmacology in medical school by using a multimodal generative artificial intelligence (genAI) approach to create compelling, cinematic clinical narratives (CCNs). …”
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HIV status and contraceptive use in Zimbabwe among sexually active adolescent girls and women: Secondary analysis of Zimbabwe Demographic Health survey data by G Musuka, G Murewanhema, Z Mukandavire, I Chingombe, D Cuadros, F Mutenherwa, T Dzinamarira, R Eghtessadi, N Malunguza, M Mapingure

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Ultra‐Thin Strain‐Relieving Si1−xGex Layers Enabling III‐V Epitaxy on Si by Trevor R. Smith, Spencer McDermott, Vatsalkumar Patel, Ross Anthony, Manu Hedge, Sophie E. Bierer, Sunzhuoran Wang, Andrew P. Knights, Ryan B. Lewis

“…Abstract The explosion of artificial intelligence, the possible end of Moore's law, dawn of quantum computing, and the continued exponential growth of data communications traffic have brought new urgency to the need for laser integration on the diversified Si platform. …”
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An Efficient 3D Convolutional Neural Network for Dose Prediction in Cancer Radiotherapy from CT Images by Lam Thanh Hien, Pham Trung Hieu, Do Nang Toan

“…In radiation therapy treatment planning, determining the dose distribution for each of the regions of the patient’s body is one of the most difficult and important tasks. Nowadays, artificial intelligence has shown promising results in improving the quality of disease treatment, particularly in cancer radiation therapy. …”
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Current update on surgical management for spinal tuberculosis: a scientific mapping of worldwide publications by Romaniyanto Romaniyanto, Muhana Fawwazy Ilyas, Aldebaran Lado, Daffa Sadewa, Daffa Sadewa, Dykall Naf'an Dzikri, Enrico Ananda Budiono, Enrico Ananda Budiono

“…The recent phase reflects a shift towards technology-driven approaches, including minimally invasive techniques, artificial intelligence, and machine learning. China emerged as the leading country with the most contributions based on author, affiliations, funding sponsors, and countries. …”
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A Secure and Robust Machine Learning Model for Intrusion Detection in Internet of Vehicles by Pradeep Kumar Tiwari, Shiv Prakash, Animesh Tripathi, Tiansheng Yang, Rajkumar Singh Rathore, Manish Aggarwal, Narendra Kumar Shukla

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Machine learning-driven solar irradiance prediction: advancing renewable energy in Rajasthan by Aayushi Tandon, Amit Awasthi, Kanhu Charan Pattnayak, Aditya Tandon, Tanupriya Choudhury, Ketan Kotecha

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Role of digital technology in epidemic control: a scoping review on COVID-19 and Ebola by Amanuel Adugna, Gossa Fetene Abebe, Desalegn Girma, Melsew Setegn Alie, Tewodros Yosef, Daniel Asmelash, Dorka Dessalegn

“…While the adoption of these technologies has lagged in public health compared with other sectors, tools such as artificial intelligence, telehealth, wearable devices and data analytics offer significant potential to enhance epidemic responses. …”
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