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相关论文: An AI-Enabled Framework Within Reach for Enhancing…

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Fairness is one of the most commonly identified ethical principles in existing AI guidelines, and the development of fair AI-enabled systems is required by new and emerging AI regulation. But most approaches to addressing the fairness of…

Sustainable development is a framework for achieving human development goals. It provides natural systems' ability to deliver natural resources and ecosystem services. Sustainable development is crucial for the economy and society.…

There is still a significant gap between expectations and the successful adoption of AI to innovate and improve businesses. Due to the emergence of deep learning, AI adoption is more complex as it often incorporates big data and the…

人工智能 · 计算机科学 2022-09-16 Dian Tjondronegoro , Elizabeth Yuwono , Brent Richards , Damian Green , Siiri Hatakka

Artificial Intelligence (AI) holds great promise for transforming healthcare, particularly in disease diagnosis, prognosis, and patient care. The increasing availability of digital medical data, such as images, omics, biosignals, and…

人工智能 · 计算机科学 2025-10-17 Pedro A. Moreno-Sánchez , Javier Del Ser , Mark van Gils , Jussi Hernesniemi

The rapid integration of Artificial Intelligence (AI) into medical diagnostics has raised pressing concerns about patient privacy, especially when sensitive imaging data must be transferred, stored, or processed. In this paper, we propose a…

密码学与安全 · 计算机科学 2025-07-30 Abdullah Al Siam , Sadequzzaman Shohan

Public health experts need scalable approaches to monitor large volumes of health data (e.g., cases, hospitalizations, deaths) for outbreaks or data quality issues. Traditional alert-based monitoring systems struggle with modern public…

人工智能 · 计算机科学 2025-06-06 Ananya Joshi , Nolan Gormley , Richa Gadgil , Tina Townes , Roni Rosenfeld , Bryan Wilder

Artificial intelligence (AI) systems increasingly shape how people access health information, make medical decisions, and receive care -- yet epidemiology lacks frameworks for measuring AI exposure or studying its health effects at the…

其他统计学 · 统计学 2026-04-16 Harsh Parikh , Tyler McCormick , Emily Johnson , Leo Hickey , Megan Ranney , Bhramar Mukherjee

Foundation model, which is pre-trained on broad data and is able to adapt to a wide range of tasks, is advancing healthcare. It promotes the development of healthcare artificial intelligence (AI) models, breaking the contradiction between…

计算机与社会 · 计算机科学 2024-04-05 Yuting He , Fuxiang Huang , Xinrui Jiang , Yuxiang Nie , Minghao Wang , Jiguang Wang , Hao Chen

Rural healthcare faces persistent challenges, including inadequate infrastructure, workforce shortages, and socioeconomic disparities that hinder access to essential services. This study investigates the transformative potential of…

We find ourselves on the ever-shifting cusp of an AI revolution -- with potentially metamorphic implications for the future practice of healthcare. For many, such innovations cannot come quickly enough; as healthcare systems worldwide…

As artificial intelligence (AI) becomes increasingly embedded in healthcare delivery, this chapter explores the critical aspects of developing reliable and ethical Clinical Decision Support Systems (CDSS). Beginning with the fundamental…

Prognostic and diagnostic AI-based medical devices hold immense promise for advancing healthcare, yet their rapid development has outpaced the establishment of appropriate validation methods. Existing approaches often fall short in…

机器学习 · 计算机科学 2024-09-10 Florian Hellmeier , Kay Brosien , Carsten Eickhoff , Alexander Meyer

Artificial Intelligence (AI) - the phenomenon of machines being able to solve problems that require human intelligence - has in the past decade seen an enormous rise of interest due to significant advances in effectiveness and use. The…

人工智能 · 计算机科学 2018-09-14 Marcel Salathé , Thomas Wiegand , Markus Wenzel

The promise of AI in medicine depends on learning from data that reflect what matters to patients and clinicians. Most existing models are trained on electronic health records (EHRs), which capture biological measures but rarely…

AI is transforming the existing technology landscape at a rapid phase enabling data-informed decision making and autonomous decision making. Unlike any other technology, because of the decision-making ability of AI, ethics and governance…

计算机与社会 · 计算机科学 2022-10-18 Mahendra Samarawickrama

Artificial intelligence (AI) is increasingly embedded in NHS workflows, but its probabilistic and adaptive behaviour conflicts with the deterministic assumptions underpinning existing clinical-safety standards. DCB0129 and DCB0160 provide…

计算机与社会 · 计算机科学 2025-11-19 Robert Gigiu

Privacy protection is an ethical issue with broad concern in Artificial Intelligence (AI). Federated learning is a new machine learning paradigm to learn a shared model across users or organisations without direct access to the data. It has…

分布式、并行与集群计算 · 计算机科学 2021-08-25 Guodong Long , Tao Shen , Yue Tan , Leah Gerrard , Allison Clarke , Jing Jiang

Artificial intelligence (AI) has shown great promise in revolutionizing the field of digital health by improving disease diagnosis, treatment, and prevention. This paper describes the Health Guardian platform, a non-commercial, scientific…

系统与控制 · 电气工程与系统科学 2023-10-04 Vince S. Siu , Kuan Yu Hsieh , Italo Buleje , Takashi Itoh , Tian Hao , Ben Civjan , Nigel Hinds , Bing Dang , Jeffrey L. Rogers , Bo Wen

Electronic Health Record (EHR) has become an essential tool in the healthcare ecosystem, providing authorized clinicians with patients' health-related information for better treatment. While most developed countries are taking advantage of…

Blindness and other eye diseases are a global health concern, particularly in low- and middle-income countries like India. In this regard, during the COVID-19 pandemic, teleophthalmology became a lifeline, and the Grabi attachment for…