artificial intelligence

Large Language Models in Chronic Obstructive Pulmonary Disease Care and Health Management: A Scoping Review

Background: Chronic obstructive pulmonary disease (COPD) requires sustained patient education, self-management, medication use, pulmonary rehabilitation, symptom monitoring, and guideline-concordant clinical management. Large language models (LLMs) may expand access to conversational health information, but their value...

Pengaruh Artificial Intelligence dan Digital HRM terhadap Efektivitas Manajemen Sumber Daya Manusia: Systematic Literature Review

Transformasi digital mendorong organisasi mengintegrasikan Artificial Intelligence (AI) dan Digital Human Resource Management (Digital HRM) dalam proses pengelolaan sumber daya manusia. AI dapat membantu analisis data, penyaringan kandidat, pembelajaran, serta evaluasi kinerja, sedangkan Digital HRM mendukung digitalis...

From Chaos to Consistency: A Human-Centered Framework for AI-supported Assessment at a Mission-Driven Liberal Arts College

This practitioner inquiry reports on a pilot at a small Catholic liberal arts college that used generative artificial intelligence (GenAI)-supported tools to help faculty complete program-assessment documentation during a structured Education Day. Grounded in Catholic social teaching and human-centered AI principles, t...

The Impact of Artificial Intelligence on Financial Accounting Efficiency and the Continued Importance of Human Oversight

This paper mainly examines whether artificial intelligence (AI) can really improve the efficiency of financial accounting work, and why accountants are still required to verify its outputs and provide necessary supervision. To address these issues, this study reviews academic papers and reports published by professiona...

Corporate Artificial Intelligence and Stock Price Crash Risk: Evidence from Chinese Listed Firms

Using a panel of 45,385 firm-year observations of Chinese A-share listed firms over 2010-2025, this paper examines whether firm-level artificial intelligence (AI) development affects stock price crash risk. Two-way fixed effects estimates show that a higher level of corporate AI development significantly reduces both t...

THE HYDRO-CARBON INTELLIGENCE FRAMEWORK FROM QUANTUM MOLECULES TO GLOBAL GOVERNANCE A Unified Theory of Artificial Intelligence, Physics, Mathematics, Carbon, Water, Hydrogen, and Environmental Law

The Hydro-Carbon Intelligence Framework: From Quantum Molecules to Global Governance by Dr. Mohamed Kamal Arafa El-Rakhawi (DOI: 10.5281/zenodo.23460269) establishes Hydro-Carbon Intelligence as a groundbreaking academic field integrating artificial intelligence, physics, mathematics, and environmental law to address t...

Accuracy of transfer learning in predicting peri-implantitis onset from intraoral radiograph: A multi-center longitudinal retrospective study

The growing application of artificial intelligence in dentistry has opened new opportunities for predicting peri-implantitis (PI) using convolutional neural networks (CNNs). Transfer learning, where knowledge from a model pre-trained on a large dataset is adapted to a new, domain-specific task, may enhance performance,...

High-Resolution Astronomical Imaging: Resolving Close Binaries and Stellar Surfaces via Optical Coherence

Due to the diffraction limit of conventional telescopes, the angular resolution of single-aperture instruments in the visible band is typically restricted to ~0.02 arcseconds, which hampers the effective resolution and imaging of close binary systems and stellar surface features. To overcome this limitation, optical in...

AI as Co-Designer and Feedback Partner: Enhancing Human Judgment

Artificial intelligence (AI) is shaping the future of higher education, tasking educators with transforming teaching, learning, and assessment practices to consider how AI can enhance the educational environment. With its increasing availability, it is important for administrators, faculty, and students to explore the...

Capacity and Disposition: A Framework for Understanding GenAI Engagement in Assessment Practice

Generative artificial intelligence (GenAI) has made assessment work faster, messier, and more consequential. This conceptual article argues that assessment professionals’ engagement with GenAI is shaped less by simple enthusiasm or resistance than by the relationship between two conditions: the time professionals have...

How Artificial Intelligence Is Reshaping the Work and Career Paths of Junior Software Developers in China and the United States

The widespread adoption of generative AI in software development can impact junior developers as AI tools can help with coding, testing, debugging, and documentation tasks. This paper will explore how AI influences the job, the necessary skills, and the career paths of junior software engineers, and why this can vary a...

Artificial general intelligence policy: dignity over transparency