artificial intelligence

A Hybrid deep learning model for effective segmentation and classification of lung nodules from CT images

Deep learning algorithms will be used to detect lung nodule anomalies at an earlier stage. The primary goal of this effort is to properly identify lung cancer, which is critical in preserving a person’s life. Lung cancer has been a source of concern for people all around the world for decades. Several researchers prese...

Artificial intelligence–based competency assessment in first aid education: A scoping review protocol

This scoping review will map the evidence on the use of artificial intelligence (AI) to assess learner competency in first aid education. Although AI is increasingly used in resuscitation and first aid training, mainly as an instructional or feedback intervention, how AI has been applied to assess learner competency ha...

Role Based Agent Collaboration for Business Logic Extraction from Legacy Systems

Legacy systems remain critical to many organizations, yet extracting their embedded business logic presents significant challenges due to outdated programming languages, limited documentation, complex dependencies, and accumulated technical debt. Traditional reverse-engineering approaches often require substantial manu...

Artificial intelligence for microscopy: from image analysis to intelligent imaging

Emerging directions at the intersection of artificial intelligence and optical imaging are discussed, including smart microscopy systems capable of adaptive acquisition, agent-based AI approaches for scientific discovery, and the growing importance of sustainable computing in data-intensive bioimaging.

A Break-Glass Plan for Biological Security: Bibliometric Analysis of Methods for Building Virus-Length Recombinant DNA Constructions Identifies Advanced DNA Polymerases as Key Reagents and Suggests Additional Controls that Might Be Imposed in Response to Triggering Biological Incidents

Today, in 2026, there is concern that existing or improved pandemic pathogens might be made in labs, and that construction of pathogens might be assisted by Artificial Intelligence (AI). In the near future, it seems possible that pathogen construction might be assisted by AI agents acting under human direction or even...

Enhancing chip verification using artificial intelligence

Decision Assurance by Design A Capability Framework for Trustworthy AI Governance in the Enterprise

Artificial intelligence increasingly informs consequential enterprise decisions, yet prevailing governance approaches tend to assess ethical principles, model properties, regulatory conformity or audit activities in isolation. This conceptual paper argues that trustworthy AI governance should focus on the organizationa...

Navigating Life After Dementia Diagnosis: Questions, Challenges, and Support Needs Among Dementia Dyads

Background: Older adults living with mild cognitive impairment (MCI) or Alzheimer's disease and related dementias (AD/ADRD) and their care partners face substantial daily challenges that evolve with disease progression and extend far beyond the clinical setting, including symptom management, care coordination, healthca...

Achievement goal theory in AI-supported learning: Psychological pathways and configurations leading to student engagement

Artificial intelligence (AI) is increasingly integrated into higher education, yet little is known about how students’ achievement goal orientations are associated with their engagement in AI-supported learning. Grounded in Achievement Goal Theory, this study examined the relationships among mastery-approach, mastery-a...

Technological neuropsychology: Assessing cognition in a digital world

Clinical neuropsychology was forged in a pre-digital era, and many of its core instruments still bear that imprint. Patients are still commonly assessed with paper-and-pencil tests in quiet rooms, under conditions that only weakly approximate the technology-saturated environments in which cognition is now expressed. Ov...

Humans and Robots in Agriculture

Research in agricultural robotics has garnered increasing attention over the past decade. Simultaneously, Human-Robot Interaction (HRI) has emerged as a possible solution to increase automation and reduce the lack of human labor in the field. This chapter presents a study of research trends in HRI focusing on Artificia...

Safeguarded online self-training for continual tunnel-face blast-hole detection

Continual full-image blast-hole detection is required as tunnel-face imagery accumulates under weak or unreliable hole-position priors, while hidden batch annotations prevent direct supervision during online updating. This study presents safeguarded online self-training, an artificial intelligence method that provides...