Health Policy

Artificial Intelligence-based Online Symptom Assessment Tools for Systemic Lupus Erythematosus (SLE) diagnosis: Patient Perspectives.

OBJECTIVE: The objective of this article is to identify perceptions of SLE patients regarding artificial intelligence (AI)-based online symptom assessment tools, and the potential of these tools to address diagnostic barriers. METHODS: Adults from our SLE research cohort were invited to participate in 60-90 minute virtual focus groups concerning their experiences obtaining an SLE diagnosis and per...

Advancing equity in endometrial cancer: A narrative synthesis using a cluster-informed framework for resource-stratified implementation.

Endometrial cancer incidence and mortality are rising globally, disproportionately affecting health systems facing diagnostic, therapeutic, and survivorship constraints. Rapid innovations-including the International Federation of Gynecology and Obstetrics (FIGO) 2023 staging, molecular classification, sentinel lymph node (SLN) mapping, evolving adjuvant strategies, immunotherapy, and digital tools...

A Multi-Task Deep Learning Model for Quality Control of Periapical Radiographs: Simultaneous Technical Error Classification and Quality Grading.

OBJECTIVES: To develop a multi-task deep learning model for the automated quality control of periapical radiographs, integrating identification of tec...

The association between artificial intelligence anxiety and occupational anxiety among emergency department healthcare workers.

INTRODUCTION: While the integration of artificial intelligence (AI) into healthcare services has the potential to improve the quality of patient care ...

Exposure to ambient PM2.5 constituents and semen quality in a retrospective cohort study: Windows of susceptibility and modification by greenness.

BACKGROUND: Access to abundant greenness and avoiding exposure to ambient fine particulate matter (PM2.5) are known to be associated with favorable he...

Design and evaluation of a resilient IBN architecture: Integrating post-quantum cryptography with adaptive threat detection using machine learning.

As the domain of network security keeps on evolving rapidly, especially in sensitive areas such as healthcare systems, the demand for reliable device ...

Machine Learning Models of Phase Contrast Images Predict Efficiency of Human Pluripotent Stem Cell Differentiation to Cardiomyocytes.

Terminal cell types derived from human pluripotent stem cells (hPSCs) are at the forefront of emerging cell and gene therapy products. hPSC-derived ca...

Generative AI for ECG Interpretation Education: Impact on Nursing, Student Performance, and AI Model Accuracy.

BACKGROUND: Electrocardiogram (ECG) interpretation is a critical yet challenging skill for nurses. Generative artificial intelligence (AI) offers pote...

Deep-Learning Inversion Maps Arbitrary Design Images to Low-Cost, Efficient Nanofabrication.

Rapid, low-cost production of user-defined nanoscale patterns is vital for prototyping in energy, biomedical, and information technologies. Yet top-do...

Generative artificial intelligence for inpatient documentation summarization: mixed-methods quality assessment and early real-world experience.

OBJECTIVE: We evaluated the quality and adoption of a large language model (LLM)-based summarization tool for ongoing hospital care. MATERIALS AND MET...

Machine learning-guided risk stratification for Long QT Syndrome genetic variants with hiPSC-derived cardiomyocytes.

AIMS: Long QT syndrome (LQTS) is a life-threatening genetic disorder characterized by prolonged QT intervals on electrocardiograms. Congenital forms a...

Evaluation and prediction of Seybouse river water quality using response surface methodology and machine learning.

Climate change and human activity are posing an increasing danger to water quality. Surface water in Algeria, especially in semi-arid areas, is under ...

Explainable AI in hospital clinical decision support systems: A scoping review of healthcare professionals' perspectives.

Explainable Artificial Intelligence (XAI) has the potential to enhance clinical decision support (CDS) systems however, it remains unclear how XAI sys...

Political determinants of melanoma: Global inequities in skin cancer care.

BACKGROUND: Melanoma outcomes differ across countries, income settings, and skin tones, reflecting not only variable environmental and genetic risks b...

EXPRESS: Artificial Intelligence in Diabetes Care: Toward Precision Diagnosis and Personalized Management.

AimsDiabetes mellitus is a global health challenge requiring innovative solutions for early diagnosis, personalized treatment, and ongoing management....

Parents' knowledge, attitudes, and concerns regarding the use of artificial intelligence in pediatric medicine: a cross-sectional study.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in pediatric healthcare, with the potential to improve diagnostic and treatment accur...

Generative AI and knowledge management in health education: a cross-sectional study of students' digital literacy and attitudes from a developing-country context.

BACKGROUND: Generative artificial intelligence (AI) is rapidly transforming higher education and digital learning. However, a scarcity of information ...

The Replicant Will See You Now: Artificial Intelligence and the Right to a Human Physician.

As artificial intelligence (AI) advances rapidly toward the development of human-simulating replicant physicians, society must determine whether patie...

Transforming Pediatric Care Through AI: Bridging the Digital Divide in Health Informatics.

Health informatics and artificial intelligence (AI) technologies are increasingly influencing pediatric health care delivery across diverse health sys...

A lifecycle governance and learning health system framework for trustworthy, generalizable, and sustainable human-ai partnership in clinical practice: Lessons from the asthma-guidance and prediction system (A-GPS).

The integration of artificial intelligence (AI) into clinical decision support (CDS) holds promise for proactive, personalized, and precision care. Ho...