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Audience and Algorithm: A Causal Layered Analysis of the Future of “Autonomy”

Amir Garousi, Afshin Omidi, moslem shirvani naghani • مطالعات رسانه‌های نوین (2026)

Extended AbstractPurpose and Research ProblemIn the digital age, the relationship between audiences and algorithms has become a defining arena of cultural negotiation and epistemic transformation. This study explores the futures of autonomy...

DOAJ Open Access (DOAJ) DOI: 10.22054/nms.2026.88661.1910

Computer Vision in Healthcare Applications

Junfeng Gao, Yong Yang, Pan Lin, Dong Sun Park • Journal of Healthcare Engineering (2018)

The research of computer vision, imaging processing and pattern recognition has made substantial progress during the past several decades.Also, medical imaging has attracted increasing attention in recent years due to its vital component in...

OPENALEX cc-by DOI: https://doi.org/10.1155/2018/5157020 PMC: 5857319

Artificial Intelligence in Healthcare: Advancing Innovation and Ethics to Foster Well-Being

Bayram B., Leventi N., Vodenicharova A., Lamprianidou A. et al. • Acta Medica Bulgarica (2026)

Artificial intelligence (AI) is reshaping healthcare by enhancing diagnostic precision, treatment personalization, and overall patient care. By leveraging technologies such as machine learning, deep learning, natural language processing, an...

DOAJ Open Access (DOAJ) DOI: 10.2478/amb-2026-0050

Machine Learning Algorithms - A Review

Batta Mahesh • International Journal of Science and Research (IJSR) (2020)

Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without being explicitly programmed. Learning algorithms in many applications that's we make use of dail...

OPENALEX Open Access DOI: https://doi.org/10.21275/art20203995

Python Machine Learning

Sebastian Raschka (2015)

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsAbout This BookLeverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effect...

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Artificial intelligence, systemic risks, and sustainability

Victor Galaz, Miguel Ángel Centeno, Peter W. Callahan, Amar Causevic et al. • Technology in Society (2021)

Automated decision making and predictive analytics through artificial intelligence, in combination with rapid progress in technologies such as sensor technology and robotics are likely to change the way individuals, communities, governments...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.techsoc.2021.101741

Artificial Intelligence and Surgical Decision-making

Tyler John Loftus, Patrick James Tighe, Amanda C. Filiberto, Philip Alexander Efron et al. • JAMA Surgery (2019)

Importance: Surgeons make complex, high-stakes decisions under time constraints and uncertainty, with significant effect on patient outcomes. This review describes the weaknesses of traditional clinical decision-support systems and proposes...

OPENALEX Open Access DOI: https://doi.org/10.1001/jamasurg.2019.4917 PMC: 7286802