AIMC Topic: Adult

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Effects of an artificial intelligence-based exercise program on pain intensity and disability in patients with neck pain compared with group exercise therapy: A cohort study.

Journal of bodywork and movement therapies
OBJECTIVES: This study compares the effects of an artificial intelligence app-based exercise program with group exercise therapy on pain intensity and neck-related disability in patients with neck pain.

The competition between human and AI streamers: live streaming strategies in a duopoly market considering consumer heterogeneity.

Acta psychologica
AI streamers are increasingly prevalent in e-commerce live streaming, yet their competitive impacts and the factors driving enterprise psychological decisions remain underexplored. This paper explores the decision-making process of e-commerce enterpr...

Integrating Machine Learning and Dynamic Digital Follow-up for Enhanced Prediction of Postoperative Complications in Bariatric Surgery.

Obesity surgery
BACKGROUND: Traditional risk models, such as POSSUM and OS-MS, have limited accuracy in predicting complications after bariatric surgery. Machine learning (ML) offers new opportunities for personalized risk assessment by incorporating artificial inte...

Needs of bereaved families of patients with cancer towards artificial intelligence in palliative care: A web-based survey.

European journal of oncology nursing : the official journal of European Oncology Nursing Society
PURPOSE: Artificial intelligence (AI) systems in palliative care have garnered attention and popularity in recent years. Understanding patient and family needs is crucial for developing and implementing AI systems in palliative care. Few studies in p...

Evaluating artificial intelligence in decision-making for surgical treatment of benign breast conditions.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS
INTRODUCTION: Determining the ideal surgical strategy for breast pathologies can sometimes be challenging, in particular if personalized solutions are required. Moreover, acquiring the necessary expertise takes years. Artificial intelligence (AI) may...

A magnetic resonance imaging (MRI)-based deep learning radiomics model predicts recurrence-free survival in lung cancer patients after surgical resection of brain metastases.

Clinical radiology
AIM: To develop and validate a magnetic resonance imaging (MRI)-based deep learning radiomics model (DLRM) to predict recurrence-free survival (RFS) in lung cancer patients after surgical resection of brain metastases (BrMs).

Diagnosis of carpal tunnel syndrome using deep learning with comparative guidance.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
OBJECTIVE: This study aims to develop a deep learning model for a robust diagnosis of Carpal Tunnel Syndrome (CTS) based on comparative classification leveraging the ultrasound images of the thenar and hypothenar muscles.

Multidimensional Feature Analysis of Meniere's Disease and Vestibular Migraine: Insights from Machine Learning and Vestibular Testing.

Journal of the Association for Research in Otolaryngology : JARO
OBJECTIVE: Differentiating between Meniere's disease (MD) and vestibular migraine (VM) is challenging due to overlapping symptoms and limited diagnostic tools. Traditional statistical methods often rely on physician judgment and struggle with complex...