Paper List

Alon Gorenshtein, Mahmud Omar, Yiftach Barash, Jonathan B. Kruskal, Muneeb Ahmed, Olga R. Brook, Ben Illigens, Girish N. Nadkarni, Eyal Klang

Large language models are increasingly used in clinical medicine, but their reliance on cloud servers conflicts with patient-privacy requirements and excludes resource-limited healthcare systems. Smal...

Precious Kabanda, Shadreck Nhorito

The growing application of Artificial Intelligence (AI) is transforming manufacturing industries across the globe by improving productivity and operational efficiency. However, in developing economies...

Javier Gismero Rodriguez, Carlos Ruiz Nuñez, Antonio Jose Garcia Ruiz

Purpose: To evaluate expert-rated informational quality and linguistic accessibility of responses generated by a contemporary large language model to common ophthalmic patient questions, and to explor...

Xue Yang, Jian Kang, Jirui Niu, Li Ma, Yin Zhang, Zipu Dong

Purpose Traditional ultrasonic detection for kidney stones is prone to variability due to the experience and skill of the operating physician, leading to inconsistent diagnostic outcomes. Factors such...

Lilach Alon¹, Inbar Levkovich¹

This study examines AI information literacy among healthcare professionals and identify differences across professional roles. An online survey was administered to 390 healthcare professionals includi...

Weihua Pei, Wanwan Liu, Chunrong Wei, Hongyu Jiang, Yan Zhu, Kemin Wang, Xiaoting Wu, Juexian Cao, Xiaofeng Liu, Yiwei Liu, Gege Ming, Yijun Wang, Xiaorong Gao

For older adults with disabilities and aphasia, timely care remains challenging, particularly during the 8-h nocturnal period, creating a need for stable non-invasive EEG interfaces for assistive brai...

Stephen E. Moore, Akwasi Asare, Samuel Kwadwo Kubiti

Multimodal music information retrieval has gained significant momentum, producing a wide range of datasets for machine learning and deep learning tasks. However, these resources remain overwhelmingly ...

Surendiran Muthukumar, Deepalakshmi Kumar, Ranjit Panigrahi, Paolo Barsocchi, Akash Kumar Bhoi

Data heterogeneity remains one of the most significant challenges in federated learning (FL), impacting model performance, convergence, and scalability. This issue is especially critical in healthcare...

Senthil Kumar V Aneesh

IoT-blockchain convergence has the potential to improve smart agriculture by supporting immutable provenance chains, cryptographic data integrity, and decentralized trust mechanisms across agricultura...

Riham Hilal, Mona G Ibrahim

AI technology development has transformed the field of engineering education with its adaptivity-driven, data-based, and ethical-led learning platforms that promote equity, diversity, and inclusivity....