AIMC Topic: Artificial Intelligence

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Leveraging Blockchain and AI for Biofilm Control in Food Processing Environments.

Comprehensive reviews in food science and food safety
Biofilm formation in food processing environments significantly threatens food safety and quality due to its resistance to conventional cleaning and disinfection methods. These resilient microbial communities contribute to contamination, spoilage and...

Nursing Academic Reviewers' Perspectives on AI-Assisted Peer Review: Ethical Challenges and Acceptance.

International nursing review
AIM: This study aimed to explore the perceptions, experiences, and ethical considerations of nursing academic reviewers regarding the integration of artificial intelligence (AI) into the peer review process, with a focus on acceptance dynamics and im...

Towards a Relational Understanding of Human Beings in an AI-Mediated World: A Hermeneutical Reading.

Scandinavian journal of caring sciences
INTRODUCTION: The integration of artificial intelligence (AI) into caring practices has revolutionised traditional methods, offering new possibilities while raising ethical and relational challenges. AI's ability to enhance efficiency, accuracy and a...

Next-Generation Optical Imaging and Spectroscopy: AI and Chemometrics in Assessing Authenticity, Nutrition, and Hazard Factors in Cereals.

Comprehensive reviews in food science and food safety
Cereal quality significantly influences human health, requiring thorough evaluation of authenticity, nutritional composition, and food safety hazards. Conventional detection methods are often characterized by limitations, including time-consuming int...

Artificial Intelligence and Tacit Knowledge Integration in Midwifery: Policy Implications for Improving Healthcare Outcomes.

International nursing review
AIM: To explore the role of artificial intelligence (AI) in capturing tacit midwifery knowledge and its potential to enhance nursing and midwifery practices and policies, and examine how AI tools, such as machine learning (ML) and natural language pr...

Development of AI Based Fibrosis Detection Algorithm by SHG/TPEF Microscopy for Fully Quantified Liver Fibrosis Assessment in MASH.

Liver international : official journal of the International Association for the Study of the Liver
BACKGROUND AND AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a major global cause of chronic liver disease, with the potential to progress from steatosis to metabolic dysfunction-associated steatohepatitis (MASH) and cirrh...

GPSai: A Clinically Validated AI Tool for Tissue of Origin Prediction during Routine Tumor Profiling.

Cancer research communications
UNLABELLED: A subset of cancers present with unclear or potentially incorrect primary histopathologic diagnoses, including cancers of unknown primary (CUP). We aimed to develop and validate an artificial intelligence (AI) tool, Genomic Probability Sc...

Integrating artificial intelligence into nurse practitioner education: Strategies for teaching the next generation of nurse practitioners.

Journal of the American Association of Nurse Practitioners
The rapid integration of artificial intelligence (AI) into health care necessitates a parallel evolution in nurse practitioner (NP) education. This article examines the imperative for NP programs to incorporate AI literacy, ensuring that graduates ar...

Role of Motion Tracking in Tele-Assessment of Functional Impairments in Individuals With Knee Osteoarthritis: A Scoping Review Protocol.

Musculoskeletal care
INTRODUCTION: Knee osteoarthritis (KOA) is a prevalent cause of disability, marked by functional impairments that significantly reduce quality of life. Emerging digital health tools-particularly artificial intelligence (AI) and motion tracking techno...

Artificial intelligence-assisted visual elicitation in anorexia nervosa : Qualitative case studies.

Neuropsychiatrie : Klinik, Diagnostik, Therapie und Rehabilitation : Organ der Gesellschaft Osterreichischer Nervenarzte und Psychiater
PURPOSE: This study explored the feasibility and therapeutic potential of combining artificial intelligence (AI)-assisted visual elicitation with sensory-attuned guided reflection to support emotional expression and engagement in individuals with ano...