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Evaluating Artificial Intelligence’s Role in Developing Research Questions in Head and Neck Reconstruction

Sebastian Holm, MD, Mario Zambrana, MD, Juan E. Berner, MD, PhD, Reza Tabrisi, MD et al. • Plastic and Reconstructive Surgery, Global Open (2025)

Summary:. Generative artificial intelligence (AI) large language models are an emerging technology, with ChatGPT and Gemini being 2 well-known examples. The current literature discusses clinical applications and limitations of AI, but its r...

DOAJ Open Access (DOAJ) DOI: 10.1097/GOX.0000000000007057

Comparative architectural evaluation of CNN models with alternative classifiers for UAV-based detection of damaged green zones

Nodir Rakhimov, Jura Kuvandikov, Ma'ruf Tojiyev, Dilmurod Khasanov et al. • Frontiers in Artificial Intelligence (2026)

Unmanned aerial vehicle imagery provides a practical and high-resolution data source for monitoring the spatial condition of urban and peri-urban green zones. However, the reliable detection of damaged, stressed, or declining vegetation are...

DOAJ Open Access (DOAJ) DOI: 10.3389/frai.2026.1910842

Artificial Intelligence for Lentigo Maligna: Automated Margin Assessment via Sox-10-Based Melanocyte Density Mapping

Rieke Löper, Lennart Abels, Daniel Otero Baguer, Felix Bremmer et al. • Dermatopathology (2025)

Lentigo maligna (LM) is a melanoma in situ with high cumulative sun damage. Histological evaluation of resection margins is difficult and time-consuming. Melanocyte density (MD) is a suitable, quantifiable, and reproducible diagnostic crite...

DOAJ Open Access (DOAJ) DOI: 10.3390/dermatopathology13010001

Consumers and Artificial Intelligence: An Experiential Perspective

Stefano Puntoni, Rebecca Walker Reczek, Markus Giesler, Simona Botti • Journal of Marketing (2020)

Artificial intelligence (AI) helps companies offer important benefits to consumers, such as health monitoring with wearable devices, advice with recommender systems, peace of mind with smart household products, and convenience with voice-ac...

OPENALEX Open Access DOI: https://doi.org/10.1177/0022242920953847

Biomaterial Engineering for Spatiotemporal Regulation of Exosome Functions: From Design Principles to Key Applications in Regenerative Medicine

Shan Long, Bo Wang, Shaodong Tian, Honglan Tang et al. • Pharmaceuticals (2026)

As natural nanoscale intercellular messengers, exosomes exhibit considerable potential in modulating inflammation, angiogenesis, immunoregulation, and tissue remodeling, making them attractive candidates for regenerative medicine. However, ...

DOAJ Open Access (DOAJ) DOI: 10.3390/ph19050672

Artificial intelligence in nanotechnology

G. M. Sacha, Pablo Varona • Nanotechnology (2013)

During the last decade there has been increasing use of artificial intelligence tools in nanotechnology research. In this paper we review some of these efforts in the context of interpreting scanning probe microscopy, the study of biologica...

OPENALEX Open Access DOI: https://doi.org/10.1088/0957-4484/24/45/452002

AI-assisted neurocognitive assessment protocol for older adults with psychiatric disorders

Diego D. Díaz-Guerra, Marena de la C. Hernández-Lugo, Yunier Broche-Pérez, Carlos Ramos-Galarza et al. • Frontiers in Psychiatry (2025)

IntroductionEvaluating neurocognitive functions and diagnosing psychiatric disorders in older adults is challenging due to the complexity of symptoms and individual differences. An innovative approach that combines the accuracy of artificia...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpsyt.2024.1516065

Raman Spectroscopy Pre-Trained Encoder: A Self-Supervised Learning Approach for Data-Efficient Domain-Independent Spectroscopy Analysis

Abhiraam Eranti, Yogesh Tewari, Rafael Palacios, Amar Gupta • IEEE Access (2026)

Deep-learning methods have boosted the analytical power of Raman spectroscopy, yet they still require large, task-specific, labeled datasets and often fail to transfer across application domains. The study explores pre-trained encoders as a...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2026.3672109

Micro‐/Nanohierarchical Surfaces for Enhanced Pool Boiling in Large‐Area Silicon Multichips

Youngseob Lee, Kiwan Kim, Yunseo Kim, Daeyoung Kong et al. • Small Structures (2025)

With the rising demand for data centers, the need for an efficient thermal management approach becomes increasingly critical. This study examines the enhancement in pool boiling heat transfer on a customized multichip module, designed to mi...

DOAJ Open Access (DOAJ) DOI: 10.1002/sstr.202400512

Perspectives of Administrators and Teachers on Factors Affecting STEM Professional Development Management in Primary Schools in the Mekong Delta

Thi Mai Huong Vu, Van Ngoan Trinh, Tuan Khanh Vo • Tạp chí Khoa học Đại học Đồng Tháp (2026)

This study examined administrators’ and teachers’ perceptions of the factors affecting the management of professional development for primary school teachers’ STEM teaching competencies in the Mekong Delta, Vietnam. The paper reports the qu...

DOAJ Open Access (DOAJ) DOI: 10.52714/dthu.ajes.36.2023