Surveys

Comparative Effectiveness of AI-Assisted Telerehabilitation, Telerehabilitation, In-Person Care, and Usual Care for Chronic Nonspecific Low Back Pain: Bayesian Network Meta-Analysis.

BACKGROUND: Guided exercise is central to rehabilitation for chronic nonspecific low back pain. Telerehabilitation enables remote delivery of guided exercise, but its effectiveness vs other rehabilitation modalities remains uncertain. OBJECTIVE: This review systematically assessed the comparative efficacy of telerehabilitation, in-person rehabilitation (IPR), and usual care (UC) for improving pain...

Can AI chatbots be reliable in dental emergencies? quality assessment of Arabic responses to dental emergency inquiries and public attitudes toward their use.

BACKGROUND: Artificial intelligence (AI) is increasingly penetrating health and dental fields without sufficient monitoring of its quality and applicability. AIM: This study aimed to evaluate public attitudes toward AI chatbots in dental emergencies and assess the quality of Arabic-language responses generated by different AI chatbots for dental emergency inquiries. METHODS: The study had two part...

Artificial intelligence integration and patient safety culture: a cross-sectional study of healthcare professionals in Riyadh, Saudi Arabia.

BACKGROUND: This cross-sectional study investigates healthcare practitioners' perceptions of the implementation of artificial intelligence (AI) to enh...

Artificial intelligence as a second reader for pneumothorax detection: redirecting rather than reducing chest CT use.

BACKGROUND: Pneumothorax is a finding that is frequently missed in the emergency department, particularly in cases with subtle radiographic features, ...

Factors influencing the trustworthiness of non-randomized studies of interventions: a survey of international experts.

BACKGROUND: Perceived trustworthiness of research may be influenced by factors beyond the risk of bias, including study-related characteristics, resea...

Radiomics-Based AI for the Diagnosis and Prognosis of Vessels Encapsulating Tumor Clusters in Hepatocellular Carcinoma: Systematic Review and Meta-Analysis.

BACKGROUND: Vessels encapsulating tumor clusters (VETCs), a CD34-positive vascular pattern in hepatocellular carcinoma (HCC), are linked to aggressive...

Awareness, Educational Needs, and Curriculum Preferences Regarding AI and Medical Big Data Education Among Clinical Medicine Undergraduates: Cross-Sectional Survey Study.

BACKGROUND: The rapid integration of artificial intelligence (AI) and medical big data into health care is transforming diagnosis, treatment planning,...

Attitudes and Needs of Health Care Providers Toward Artificial Intelligence-Assisted Pediatric Palliative Care: Mixed Methods Study.

BACKGROUND: While artificial intelligence's (AI's) transformative potential in health care is widely acknowledged, its application in highly sensitive...

Explainable AI for Equitable Nurse Scheduling: Pragmatic Pre-Post Implementation Study.

BACKGROUND: Inequitable and time-consuming shift scheduling contributes to nurse burnout, dissatisfaction, and turnover. In Taiwan, annual nurse turno...

Monitoring Health Status: Development and Preliminary Validation of a Personal Health Index Using the International Classification of Functioning, Disability and Health.

BACKGROUND: Effective health monitoring is essential for personalized care and comprehensive health assessment. Personal health indices and profiles o...

Minimizing chronic groin pain after inguinal hernia surgery: An augmented evidence review.

BACKGROUND: Chronic post-operative inguinal pain (CPIP) is a significant complication following inguinal hernia repair. Evidence on the surgical facto...

Artificial Intelligence for Assessment and Feedback in Medical Education: Bibliometric Mapping Study and Thematic Evidence Map.

BACKGROUND: Artificial intelligence (AI), particularly generative AI and large language models, is increasingly used for assessment-related tasks in m...

Development and Validation of an Explainable Machine Learning Model to Assess the Prevalence Probability of Gastrointestinal Heat Retention Syndrome in Children: Cross-Sectional Study.

BACKGROUND: Health problems associated with energy metabolism imbalance have received increasing attention. Our team was the first to propose the conc...

The trust in AI-generated health advice (TAIGHA) scale and short version (TAIGHA-S): Development and validation study.

Artificial Intelligence (AI) tools such as large language models (LLMs) are increasingly used by the public to obtain health information and support h...

Music-induced cortical plasticity: Protocol for a systematic review.

Music engages sensory, motor, cognitive, and emotional systems, making it a powerful model for studying experience-dependent neuroplasticity. Although...

Leveraging artificial intelligence to streamline documentation and support patient-centered gynecologic oncology outpatient visits.

OBJECTIVES: This study aims to evaluate provider-perceived accuracy, completeness, and clinical utility of ChatGPT-generated assessment and plans for ...

A validity-guided workflow for robust large language model research in psychology.

Large language models (LLMs) are rapidly being integrated into psychological and behavioral research as research tools, evaluation targets, human simu...

User Acceptance of an AI-Powered Medical History-Taking Training System Among Undergraduate Medical Students: Mixed Methods Study.

BACKGROUND: Artificial intelligence (AI)-powered virtual patient systems provide medical students with repeatable practice environments for history-ta...

Diagnostic performance of a multimodal large language model in assessing the index of complexity, outcome, and need: comparison with orthodontist evaluation.

BACKGROUND: This study evaluated the performance of a multimodal large language model (MLLM), Chat Generative Pretrained Transformer-5.5 (ChatGPT-5.5)...

Quantifying cross-site effect in AI-based dental age estimation: evidence from Brazilian panoramic radiographs.

OBJECTIVES: To quantify cross-regional generalization of dental age-estimation models, identify practical strategies to improve their performance, and...