AIMC Topic: Adult

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Culturally tailored interventions in adults with obesity: a protocol for a systematic review with meta-analysis and qualitative evidence synthesis.

BMJ open
INTRODUCTION: Obesity disproportionately affects ethnic minority populations due to structural inequalities, such as limited access to healthy food, inadequate healthcare and systemic racism. Universal weight management programmes often fail to meet ...

Robotic manipulation of human bipedalism reveals overlapping internal representations of space and time.

Science robotics
Effective control of bipedal postures relies on sensory inputs from the past, which encode dynamic changes in the spatial properties of our movement over time. To uncover how the spatial and temporal properties of an upright posture interact in the p...

Automated Bone Age Assessment and Adult Height Prediction from Pediatric Hand Radiographs via a Cascaded Deep Learning Framework.

Journal of medical systems
Bone age assessment and adult height prediction are essential for evaluating pediatric growth. Traditional methods rely on manual radiographic interpretation, which is subjective, time-consuming, and prone to inter-observer variability. This study pr...

TLMACEA: design of a transfer learning model for correlative analysis of auscultation and clinical parameters via explainable AI-based recommender.

Biomedical physics & engineering express
Auscultations are commonly used to analyze lung conditions through signal processing and classification techniques. However, the efficiency of these models is often limited by factors like signal quality, sensor performance, and dataset size. Current...

Machine learning meets maternal health: Uncovering spatial blind spots in antenatal care quality in Bangladesh.

PloS one
BACKGROUND: High-quality antenatal care (ANC) is defined as four or more antenatal visits with at least one to a medically trained provider, measurement of weight and blood pressure, testing of blood and urine, and receipt of information on potential...

Predicting arthritis risk with machine learning: Insights from the 2023 National Health Interview Survey data.

PloS one
Arthritis, a common chronic disease encompassing multiple subtypes of osteoarthritis and rheumatoid arthritis, was explored in this study as a risk-related factor based on data from the 2023 U.S. National Health Interview Survey (NHIS). The study inc...

Evaluating the accuracy and patient perception of AI-generated answers on pectus surgery.

Journal of cardiothoracic surgery
UNLABELLED: This article aims to evaluate the quality of responses provided by AI systems ChatGPT-4o and Gemini 1.5 to frequently asked patient questions regarding pectus deformity.

Multi-omics analysis reveal clinical-gut-brain interactions in female ibs patients with adverse childhood experiences.

Biology of sex differences
BACKGROUND: The brain-gut system, which involves bidirectional communication between the central nervous system and the gut, plays a central role in stress responses. Its dysregulation is implicated in irritable bowel syndrome (IBS), a stress-sensiti...

Income, psychological security, and subjective well-being in urban China: a machine learning analysis with SHAP interpretation.

BMC psychology
BACKGROUND: Subjective well-being has become a core indicator for measuring social progress and policy effectiveness. However, the "Easterlin Paradox" remains prevalent, and this paradox refers to the disconnect between economic growth and improvemen...

Machine learning-based clinical-radiomics model for predicting recurrence risk after radical surgery in sinonasal squamous cell carcinoma: a preliminary 2-year follow-up study.

BMC medical imaging
BACKGROUND: To construct and validate an optimal machine learning (ML)-based clinical-radiomics model integrating clinical and radiomics features for predicting recurrence risk within 2 years after radical surgery in patients with sinonasal squamous ...