A survey on medical explainable AI (XAI): recent progress, explainability approach, human interaction and scoring system

RK Sheu, MS Pardeshi - Sensors, 2022 - mdpi.com
The emerging field of eXplainable AI (XAI) in the medical domain is considered to be of
utmost importance. Meanwhile, incorporating explanations in the medical domain with …

Health system-scale language models are all-purpose prediction engines

LY Jiang, XC Liu, NP Nejatian, M Nasir-Moin, D Wang… - Nature, 2023 - nature.com
Physicians make critical time-constrained decisions every day. Clinical predictive models
can help physicians and administrators make decisions by forecasting clinical and …

The impact of generative artificial intelligence on socioeconomic inequalities and policy making

V Capraro, A Lentsch, D Acemoglu, S Akgun… - PNAS …, 2024 - academic.oup.com
Generative artificial intelligence (AI) has the potential to both exacerbate and ameliorate
existing socioeconomic inequalities. In this article, we provide a state-of-the-art …

Integrating human knowledge into artificial intelligence for complex and ill-structured problems: Informed artificial intelligence

M Johnson, A Albizri, A Harfouche… - International Journal of …, 2022 - Elsevier
Artificial intelligence (AI) has been gaining significant attention in various fields to reduce
costs, increase revenue, and improve customer satisfaction. AI can be particularly beneficial …

An AI-based decision support system for predicting mental health disorders

S Tutun, ME Johnson, A Ahmed, A Albizri, S Irgil… - Information Systems …, 2023 - Springer
Approximately one billion individuals suffer from mental health disorders, such as
depression, bipolar disorder, schizophrenia, and anxiety. Mental health professionals use …

Toward AI governance: Identifying best practices and potential barriers and outcomes

E Papagiannidis, IM Enholm, C Dremel… - Information Systems …, 2023 - Springer
In recent years artificial intelligence (AI) has been seen as a technology with tremendous
potential for enabling companies to gain an operational and competitive advantage …

Role of risks in the development of responsible artificial intelligence in the digital healthcare domain

S Gupta, S Kamboj, S Bag - Information Systems Frontiers, 2023 - Springer
The use of artificial intelligence (AI) in the healthcare field is gaining popularity. However, it
also raises some concerns related to privacy and ethical aspects that require the …

Digital transformation to mitigate emergency situations: increasing opioid overdose survival rates through explainable artificial intelligence

M Johnson, A Albizri, A Harfouche… - Industrial Management & …, 2023 - emerald.com
Purpose The global health crisis represents an unprecedented opportunity for the
development of artificial intelligence (AI) solutions. This paper aims to integrate explainable …

Artificial intelligence capability and firm performance: a sustainable development perspective by the mediating role of data-driven culture

S Fosso Wamba, MM Queiroz, IO Pappas… - Information Systems …, 2024 - Springer
Artificial Intelligence (AI) tools, applications, and capabilities have received tremendous
attention from industry practitioners, scholars, and policymakers. Despite the substantial …

An assessment of the barriers impacting responsible artificial intelligence

MI Merhi - Information Systems Frontiers, 2023 - Springer
Abstract Responsible Artificial Intelligence (AI) has recently gained a lot of attention,
especially in the last few years. Scholars have conducted systematic literature reviews to …