Surveys

Machine learning accuracy for assessment of functional movement in Low back pain based on clinically applicable performance Metrics: A systematic review.

PURPOSE: To assess whether machine learning (ML) can accurately evaluate functional kinematics in people with low back pain (LBP) when judged by psychometric properties, including validity, reliability, and measurement error. METHODS: A systematic search of PubMed, Scopus, Web of Science, and IEEE Xplore identified studies applying ML with kinematic inputs for LBP assessment. Risk of bias was asse...

Validity and transferability of Model for ASsessing the value of Artificial Intelligence (MAS-AI).

OBJECTIVES: In 2022, a multidisciplinary group of experts and patients published a Model for ASsessing the value of AI (MAS-AI) in medical imaging. MAS-AI is a critical tool for decision-makers, enabling them to make informed choices on the prioritization of AI solutions. The objective of this study was to assess the face validity and transferability of MAS-AI by investigating workshop participant...

Age-specific modifiable determinants and nonlinear risk patterns of habitual low back pain in a large medical check-up cohort: a cross-sectional and longitudinal analysis.

BACKGROUND: Age-related mechanisms underlying habitual low-back pain (LBP) remain poorly defined, with most studies pooling heterogeneous populations ...

Predicting treatment pathways in Class II malocclusion patients using machine learning: A comparative study of four algorithms for classifying camouflage, growth modulation, and surgical decisions.

OBJECTIVES: The aim of this study was to develop a machine-learning model to assist in treatment decision-making for surgery, camouflage, and growth m...

AI Screening Tool Based on X-Rays Improves Early Detection of Decreased Bone Density in a Clinical Setting.

PURPOSE: Osteoporosis is an under-screened musculoskeletal disorder that results in diminished quality of life and significant burden to the healthcar...

Evaluating Dental Students' Perspectives on Artificial Intelligence (AI)-Driven Large Language Models in Education in Saudi Arabia.

OBJECTIVES: This study explores the perspectives of dental students in Saudi Arabia regarding the integration of large language models (LLMs) in denta...

Natural Language Response Formats for Assessing Depression and Worry With Large Language Models: A Sequential Evaluation With Model Pre-Registration.

Large language models can transform individuals' mental health descriptions into scores that correlate with rating scales approaching theoretical uppe...

Intersections of Educational Attainment, Indigenous Identity, and Race/Ethnicity Best Predicted Diet Quality Among Adults in Canada: A Conditional Random Forests Analysis.

BACKGROUND: Although it is well-known that diet quality varies according to multiple dimensions of socioeconomic position (SEP), much remains unknown ...

Video Transformer for Segmentation of Echocardiography Images in Myocardial Strain Measurement.

The adoption of left ventricular global longitudinal strain (LVGLS) is still restricted by variability among various vendors and observers, despite ad...

Artificial intelligence in gastric cancer: a systematic review of machine learning and deep learning applications.

BACKGROUND: Gastric cancer (GC) remains a major global health concern, ranking as the fifth most prevalent malignancy and the fourth leading cause of ...

Inferring Personality From Social Media Activity Using Large Language Models: Cross-Model Agreement, Temporal Stability, and Convergent Validity With Self-Reports.

INTRODUCTION: Large language models (LLMs) offer a promising approach to infer personality traits unobtrusively from digital footprints. However, the ...

Are Artificial Intelligence Models Reliable for Clinical Application in Pediatric Fracture Detection on Radiographs? A Systematic Review and Meta-analysis.

BACKGROUND: Artificial intelligence (AI) applications for pediatric fracture diagnosis using radiographs have demonstrated growing potential in clinic...

Evaluation of ChatGPT accuracy and reliability in answering questions about exercise recommendations for breast cancer survivors.

OBJECTIVE: To assess the accuracy and reliability of an artificial intelligence (AI) chatbot (ChatGPT) in providing answers about exercise recommendat...

Artificial intelligence algorithms effectively classify 38 movements in infants born full-term and preterm recorded in the laboratory and at home.

BACKGROUND: Although recent advancements in artificial intelligence (AI) provide an alternative for infant motor assessment, such applications focus m...

Artificial intelligence-driven decision tree model for predicting quality of life determinants in women with endometriosis.

OBJECTIVE: Endometriosis significantly impacts the quality of life (QoL) of affected women due to its complex symptomatology. This study aimed to deve...

AI-assisted script concordance tests: Enhancing feasibility with customized ChatGPT.

WHAT WAS THE EDUCATIONAL CHALLENGE?: The Script Concordance Test (SCT) assesses clinical reasoning by evaluating responses to uncertain scenarios agai...

Endodontic diagnostics training in undergraduate dental education: An observational pilot study on AI-driven virtual patient e-learning.

AIM: To develop and evaluate an e-learning tool utilizing a generative pre-trained transformer (GPT), a form of artificial intelligence (AI), to allow...

Artificial intelligence in smartphone video analysis for equine asthma diagnostic support.

BACKGROUND: Equine asthma is a prevalent respiratory disease that negatively impacts horses' health and athletic performance. Traditional diagnostic m...

Large language models in medical education: a comparative cross-platform evaluation in answering histological questions.

Large language models (LLMs) have shown promising capabilities across medical disciplines, yet their performance in basic medical sciences remains inc...

Detecting schizophrenia, bipolar disorder, psychosis vulnerability and major depressive disorder from 5 minutes of online-collected speech.

Psychosis poses substantial social and healthcare burdens. The analysis of speech is a promising approach for the diagnosis and monitoring of psychosi...