Nursing

Refining Assessment Design and Practice in Nursing and Midwifery Education in the Era of Generative AI: A Discussion Paper.

AIMS: This paper equips nursing and midwifery academics with strategies to assess student competence...

Nonoperating room anesthesia in the ICU: current practice and considerations.

PURPOSE OF REVIEW: ICU procedures are increasingly complex, often requiring deeper sedation or gener...

Conversational Capacity in Triadic Telemedicine: A Conceptual Framework and Evidence Synthesis.

BACKGROUND: Telemedicine is conventionally modeled as a dyadic clinician-patient encounter, yet a th...

Practical Optimization of Deep Learning Models for Cuffless Blood Pressure Estimation From Photoplethysmography.

To improve deep learning-based cuffless blood pressure (BP) estimation from photoplethysmograph...

Real-time clinical decision support system for early identification of infection and sepsis in the intensive care unit: a retrospective development and prospective deployment study.

BACKGROUND: Sepsis and infection are distinct yet overlapping conditions in the intensive care unit ...

Are Artificial Intelligence and Robot Nurses a Threat to Student Nurses?: A Quasi-Experimental Study.

BACKGROUND: With the continuous advancement of technology, it is predicted that artificial intellige...

Exploratory machine learning-based early post-treatment assessment of willingness to reuse rubber dam isolation after microscopic root canal treatment.

ObjectiveTo explore factors associated with willingness to reuse rubber dam isolation after microsco...

A Dynamic Prognostic and Adaptive Treatment Framework for Advanced Biliary Tract Cancer.

BACKGROUND & AIMS: First-line immuno-chemotherapy is standard for advanced biliary tract cancer (BTC...

[Technology-Driven, Human-Centered Care: Challenges and Opportunities].

Rising costs, power shortages, and gaps in service accessibility and care quality rank among the mos...

[Technology-Enabled Nursing Practice: Clinical Decision Support, Early Warning Analytics, and Human-Centered Care].

This article was written to investigate technology-enabled nursing practice, with particular attenti...

[From Sensing to Decision: Leveraging Technology to Enhance Nursing Clinical Judgment].

With the rapid integration of Artificial Intelligence (AI), the Internet of Things, and sensing tech...

[Care Transformation: The AI- and Data-Driven Shift From Reactive to Proactive and Predictive Care].

With global population aging and the increasing prevalence of chronic diseases, the traditional reac...

Ethical Risks and Governance Directions of Conversational Artificial Intelligence in Nursing Triage and Patient Education: Shared Foundations and Contextual Differences.

AIM: To provide an early-stage integrative synthesis of shared and scenario-specific ethical risks o...

Standard-of-care vs. machine learning-recommended discharge destinations for geriatric surgical inpatients: algorithm development and internal validation.

PURPOSE: Older adults undergoing surgery are at high risk for adverse outcomes due to age-related vu...

A Standardized Rubric for Evaluating NCLEX Items: Traditional and Clinical Judgment Item Formats.

BACKGROUND: High-quality National Council Licensure Examination (NCLEX) items are essential for prep...

Advancing Human-Centered AI in Clinical Decision Support: Sociocognitive Human-in-the-Loop Study in HIV Care.

BACKGROUND: AI-powered clinical decision support systems (CDSS) have shown promise in improving pred...

Corrigendum to "Artificial intelligence-enhanced nurse navigation for monitoring and care of long COVID" [Int. J. Med. Inform., 219 (2026)/106557].

Educators' Perspectives on Generative AI Use in Nursing Education: Friend or Foe?

AIM: This study explores nursing educators' perspectives on the challenges and benefits of integrati...

Integrating AI-Powered Chatbots Into Patient Education From the Perspectives of Patients, Caregivers, and Nurses: Qualitative Study.

BACKGROUND: AI-powered chatbots offer new opportunities to enhance patient education; however, their...

An artificial intelligence use framework for nursing education: Bridging policy and pedagogical implementation.

BACKGROUND: Artificial intelligence (AI) is transforming higher education and healthcare, yet nursin...

MSAFNet: A multi-scale attention fusion network for automated neonatal pain facial expression recognition with clinical validation.

Accurate, timely pain assessment in neonates remains a stubborn yet critical challenge in neonatal i...