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Artificial intelligence assisted 3D in the robotic urooncology? A systematic review and narrative synthesis of current applications, challenges and future directions

Bara Barakat, Bilal Al-Absi, Boris Hadaschik, Christian Rehme et al. • The Canadian Journal of Urology (2026)

Background: Artificial intelligence (AI)-assisted three-dimensional (3D) surgical platforms, integrated with augmented reality, have the potential to improve intraoperative anatomical recognition and provide surgeons with an immersive, dyna...

DOAJ Open Access (DOAJ) DOI: 10.32604/cju.2026.071284

Optimized CNN-BiLSTM framework for reactive power management and voltage profile improvement in renewable energy based power grids

Lijo Jacob Varghese, Suma Sira Jacob, Jaisiva Selvaraj, Tefera Mekonnen Azerefegn • Scientific Reports (2025)

Abstract This article describes a method for improving power grid voltage profiles by more effectively regulating reactive power through the integration of hybrid renewable energy systems (HRES) in smart grids. The unpredictable nature of r...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-24751-9

Identification of Aspergillus at section and species levels by artificial intelligence-based microscopic morphology image recognition

Meng Tan, Zhe Guo, Yanyi Wang, Xinyi Xu et al. • Journal of Clinical Microbiology (2026)

ABSTRACT Rapid and accurate identification of Aspergillus species in clinical microbiology laboratories is crucial for aspergillosis diagnosis and antifungal therapy. However, traditional methods still face challenges in distinguishing phyl...

DOAJ Open Access (DOAJ) DOI: 10.1128/jcm.00012-26

Association between myosteatosis and impaired glucose metabolism: A deep learning whole‐body magnetic resonance imaging population phenotyping approach

Matthias Jung, Hanna Rieder, Marco Reisert, Susanne Rospleszcz et al. • Journal of Cachexia, Sarcopenia and Muscle (2024)

Abstract Background There is increasing evidence that myosteatosis, which is currently not assessed in clinical routine, plays an important role in risk estimation in individuals with impaired glucose metabolism, as it is associated with th...

DOAJ Open Access (DOAJ) DOI: 10.1002/jcsm.13527

Cost-effective, open-source, automated apparatus for testing transitive inference in mice

Silvia Margarian, Yihan Chen, Jumana Waheed, Parham Rezaeimanesh et al. • Scientific Reports (2026)

Abstract Transitive inference is a form of reasoning that relies on prior knowledge and benefits survival in diverse species. While initially designed for humans, the transitive inference task has been adapted for mice, allowing for integra...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-43430-x

Psychological impacts of AI-induced job displacement among Indian IT professionals: a Delphi-validated thematic analysis

Vinod Sharma, Saikat Deb, Yogesh Mahajan, Avishek Ghosal et al. • International Journal of Qualitative Studies on Health & Well-Being (2025)

Purpose This study investigates the psychological impact of Artificial Intelligence (AI)-driven job displacement among Indian IT professionals. It specifically explores how individuals psychologically experience the loss of roles due to aut...

DOAJ Open Access (DOAJ) DOI: 10.1080/17482631.2025.2556445

The Use of Artificial Intelligence Tools in Assessing Content Validity: A Comparative Study with Human Experts

Hatice Gürdil, Hatice Özlem Anadol, Yeşim Beril Soğuksu • Ankara Üniversitesi Eğitim Bilimleri Fakültesi Dergisi (2026)

This study investigated whether artificial intelligence (AI) systems could evaluate the content validity of B1-level English reading comprehension items in a manner comparable to human experts. A 25-item multiple-choice test was developed a...

DOAJ Open Access (DOAJ) DOI: 10.30964/auebfd.1807153

Analysis of Water Pollution Using Different Physicochemical Parameters: A Study of Yamuna River

Rohit Sharma, Raghvendra Kumar, Suresh Chandra Satapathy, Nadhir Al-Ansari et al. • Frontiers in Environmental Science (2020)

The Yamuna river has become one of the most polluted rivers in India as well as in the world because of the high-density population growth and speedy industrialization. The Yamuna river is severely polluted and needs urgent revival. The Yam...

DOAJ Open Access (DOAJ) DOI: 10.3389/fenvs.2020.581591

Artificial intelligence and statistics

Bin Yu, Karl Kumbier • Frontiers of Information Technology & Electronic Engineering (2018)

Artificial intelligence (AI) is intrinsically data-driven. It calls for the application of statistical concepts through human-machine collaboration during the generation of data, the development of algorithms, and the evaluation of results....

OPENALEX Open Access DOI: https://doi.org/10.1631/fitee.1700813

Artificial Intelligence in Anesthesiology

Daniel A. Hashimoto, Elan R. Witkowski, Lei Gao, Ozanan R. Meireles et al. • Anesthesiology (2019)

Artificial intelligence has been advancing in fields including anesthesiology. This scoping review of the intersection of artificial intelligence and anesthesia research identified and summarized six themes of applications of artificial int...

OPENALEX Open Access DOI: https://doi.org/10.1097/aln.0000000000002960 PMC: 7643051

A Risk Identification Method for Ensuring AI-Integrated System Safety for Remotely Controlled Ships with Onboard Seafarers

Changui Lee, Seojeong Lee • Journal of Marine Science and Engineering (2024)

The maritime sector is increasingly integrating Information and Communication Technology (ICT) and Artificial Intelligence (AI) technologies to enhance safety, environmental protection, and operational efficiency. With the introduction of t...

DOAJ Open Access (DOAJ) DOI: 10.3390/jmse12101778

The impact of digitization of the cost accounting system on organizational efficiency and effectiveness in the healthcare sector of the Republic of Serbia

Kristina Spasić, Bojana Novićević Čečević, Ljilja Antić • BizInfo (2024)

The new industrial era has brought new opportunities and chances for the entire business development. Smart machines, artificial intelligence, cloud computing, the Internet of Things, big data are taking over many jobs and roles, thus leavi...

DOAJ Open Access (DOAJ) DOI: 10.5937/bizinfo2402039S

Demand response potential evaluation based on feature fusion with expert knowledge and multi‐image

Jiale Liu, Xinlei Cai, Zijie Meng, Xin Jin et al. • IET Smart Grid (2024)

Abstract Potential evaluation to assist demand response decisions has garnered significant attention with the development of new power systems. However, existing data‐driven methods are challenging to properly exploit multivariate features ...

DOAJ Open Access (DOAJ) DOI: 10.1049/stg2.12182

Early math interest and the development of math skills.

Paige H. Fisher, Jennifer Dobbs‐Oates, Greta L. Doctoroff, David Harvey Arnold • Journal of Educational Psychology (2012)

Prior models suggest that math attitudes and ability might strengthen each other over time in a reciprocal fashion (Ma, 1997). The current study investigated the relationship between math interest and skill both concurrently and over time i...

OPENALEX DOI: https://doi.org/10.1037/a0027756