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Evaluation of artificial intelligence technology success factors for an effective supply chain using interval-valued intuitionistic fuzzy AHP method

Gülçin Büyüközkan, Celal Alpay Havle • Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi (2026)

The increasing complexity of supply chains in today's globalizing world has increased the importance of effective supply chain management. Consequently, businesses increasingly rely on new technologies to maintain flexibility, efficiency, a...

DOAJ Open Access (DOAJ) DOI: 10.33707/akuiibfd.1689304

Real-World Evaluation of AI-Driven Diabetic Retinopathy Screening in Public Health Settings: Validation and Implementation Study

Mona Duggal, Anshul Chauhan, Vishali Gupta, Ankita Kankaria et al. • JMIR Medical Informatics (2025)

Abstract BackgroundArtificial intelligence (AI) algorithms offer an effective solution to alleviate the burden of diabetic retinopathy (DR) screening in public health settings. However, there are challenges in translating diagno...

DOAJ Open Access (DOAJ) DOI: 10.2196/67529

Quantum-Enhanced Algorithmic Fairness and the Advancement of AI Integrity and Responsibility

Akhil Chintalapati, Khashbat Enkhbat, Ramanathan Annamalai, Geraldine Bessie Amali et al. • Quantum Reports (2025)

In the evolving digital landscape, the pervasive influence of artificial intelligence (AI) on social media platforms reveals a compelling paradox: the capability to provide personalized experiences juxtaposed with inherent biases reminiscen...

DOAJ Open Access (DOAJ) DOI: 10.3390/quantum7030036

Artificial Intelligence and Digital Pathology: Challenges and Opportunities

Hamid R. Tizhoosh, Liron Pantanowitz • Journal of Pathology Informatics (2018)

In light of the recent success of artificial intelligence (AI) in computer vision applications, many researchers and physicians expect that AI would be able to assist in many tasks in digital pathology. Although opportunities are both manif...

OPENALEX cc-by-nc-sa DOI: https://doi.org/10.4103/jpi.jpi_53_18 PMC: 6289004

Cracking the code: AI’s role in mapping evidence syntheses to the United Nations sustainable development goals

Bianca Pilla, Jennifer Stone, Zoe Jordan • Archives of Public Health (2025)

Abstract Background Understanding the alignment and contributions of research to the United Nations Sustainable Development Goals (UN SDGs) is essential for guiding global progress toward these critical targets. Several SDG mapping approach...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13690-025-01784-0

The NWRD Dataset: An Open-Source Annotated Segmentation Dataset of Diseased Wheat Crop

Hirra Anwar, Saad Ullah Khan, Muhammad Mohsin Ghaffar, Muhammad Fayyaz et al. • Sensors (2023)

Wheat stripe rust disease (WRD) is extremely detrimental to wheat crop health, and it severely affects the crop yield, increasing the risk of food insecurity. Manual inspection by trained personnel is carried out to inspect the disease spre...

DOAJ Open Access (DOAJ) DOI: 10.3390/s23156942

Computer Vision Analysis of Intraoperative Video

Daniel A. Hashimoto, Guy Rosman, Elan R. Witkowski, Caitlin E. Stafford et al. • Annals of Surgery (2019)

OBJECTIVE(S): To develop and assess AI algorithms to identify operative steps in laparoscopic sleeve gastrectomy (LSG). BACKGROUND: Computer vision, a form of artificial intelligence (AI), allows for quantitative analysis of video by comput...

OPENALEX Open Access DOI: https://doi.org/10.1097/sla.0000000000003460 PMC: 7216040

HRCTCov19-a high-resolution chest CT scan image dataset for COVID-19 diagnosis and differentiation

Iraj Abedi, Mahsa Vali, Bentolhoda Otroshi, Maryam Zamanian et al. • BMC Research Notes (2024)

Abstract Introduction Computed tomography (CT) was a widely used diagnostic technique for COVID-19 during the pandemic. High-Resolution Computed Tomography (HRCT), is a type of computed tomography that enhances image resolution through the ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13104-024-06693-z

Artificial Intelligence for Games

Ian Millington, John Funge • CRC Press eBooks (2018)

Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional ex...

OPENALEX DOI: https://doi.org/10.1201/9781315375229

Artificial Intelligence for Games

Ian Millington • CRC Press eBooks (2009)

Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional ex...

OPENALEX DOI: https://doi.org/10.1201/b13169

Artificial intelligence in radiotherapy

Sarkar Siddique, James C. L. Chow • Reports of Practical Oncology & Radiotherapy (2020)

Artificial intelligence (AI) has already been implemented widely in the medical field in the recent years. This paper first reviews the background of AI and radiotherapy. Then it explores the basic concepts of different AI algorithms and ma...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.rpor.2020.03.015 PMC: 7321818

How artificial intelligence is changing nursing

Nancy J Robert • Nursing Management (2019)

In Brief This article provides an overview of artificial intelligence (AI), including how AI algorithms and robots are altering the nurse's role and the challenges facing the nursing profession as AI is integrated into healthcare delivery....

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1097/01.numa.0000578988.56622.21 PMC: 7597764

Application of artificial intelligence to the electrocardiogram

Zachi Itzhak Attia, David Harmon, Elijah Raphael Behr, Paul A. Friedman • European Heart Journal (2021)

Artificial intelligence (AI) has given the electrocardiogram (ECG) and clinicians reading them super-human diagnostic abilities. Trained without hard-coded rules by finding often subclinical patterns in huge datasets, AI transforms the ECG,...

OPENALEX Open Access DOI: https://doi.org/10.1093/eurheartj/ehab649 PMC: 8500024

The ethics of artificial intelligence

Nick Bostrom, Eliezer Yudkowsky • Cambridge University Press eBooks (2014)

This chapter surveys some of the ethical challenges that may arise as one can create artificial intelligences (AI) of various kinds and degrees. Some challenges of machine ethics are much like many other challenges involved in designing mac...

OPENALEX DOI: https://doi.org/10.1017/cbo9781139046855.020

Accidental injustice: Healthcare AI legal responsibility must be prospectively planned prior to its adoption

Kit Fotheringham, Helen Smith • Future Healthcare Journal (2024)

This article contributes to the ongoing debate about legal liability and responsibility for patient harm in scenarios where artificial intelligence (AI) is used in healthcare.We note that due to the structure of negligence liability in Engl...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.fhj.2024.100181

Artificial Intelligence

David Poole, Alan K. Mackworth • Cambridge University Press eBooks (2010)

Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. This textbook, aimed at junior to senior undergraduate students and first-year graduate students, presents artificial in...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511794797