Surveys

Accuracy of Cephalometric Analysis in Cleft Lip and Palate: Comparison of Manual, Artificial Intelligence-Based, and Examiner-Corrected Artificial Intelligence Approaches.

ObjectiveTo evaluate the accuracy of the artificial intelligence (AI)-powered orthodontic imaging system OrthoDx™ for cephalometric analysis in patients with cleft lip and/or palate (CLP), compared with manual semi-automated measurements obtained using Dolphin Imaging software.DesignRetrospective study with anonymized lateral cephalometric radiographs.SettingDepartment of Orthodontics, Faculty of ...

Bot vs. doc-who is better at reading proximal humerus fracture x-rays?

BACKGROUND: Artificial intelligence is becoming increasingly utilized as a source of convenient, efficient, and cost-effective information. Considering the potential utility of ChatGPT as an adjuvant in clinical decision making, the current study evaluates (1) the accuracy of ChatGPT-5 at evaluating shoulder x-rays containing either normal or proximal humerus fracture (PHFx) diagnoses and (2) inte...

Automated Segmentation of Liver and Liver Tumors with SwinUNETR and UNET Neural Networks on 18F-FDG PET/CT.

OBJECTIVES: To develop and evaluate automated segmentation models for the liver and hepatic tumors on 18F-fluorodeoxyglucose positron emission tomogra...

Attack and defense techniques in large language models: A survey and new perspectives.

Large Language Models (LLMs) have become central to numerous natural language processing tasks, but their vulnerabilities present significant security...

Artificial intelligence-predicted ECG age gap as a biomarker: bias-adjusted correlation with mortality and cardiovascular risk factors.

AIMS: Artificial intelligence models can estimate a person's age from ECG. The gap between the predicted ECG age and chronological age, predicted age ...

Are we there yet? A systematic review and meta-analysis of the validity and reliability of automated markerless motion capture systems during jumping tasks.

Accurate assessment of jumping is important for sports performance and rehabilitation. While laboratory-based motion capture is considered gold-standa...

Application of a natural language processing algorithm to early asthma ascertainment for adults in the era of electronic health records.

BACKGROUND: The natural language processing (NLP) algorithm for predetermined asthma criteria (NLP-PAC) was successfully developed and validated for a...

Not Ready for Prime Time: Limitations of a Retrieval-Augmented Generation Large Language Model in Assessing Risk of Bias in Observational Studies.

BACKGROUND: Current research has focused on the use of large language models (LLMs) to augment systematic reviews. LLMs are limited by their vulnerabi...

A validity evaluation of lexicon-based sentiment analysis of medical students' clinical performance from in-training evaluation reports.

INTRODUCTION: Assessment of clinical performance has traditionally been a numbers game based upon Likert scale ratings. But, thanks to advances in the...

Hermite-type neural network operators: derivative-informed frameworks for functional neuroimaging and signal processing.

This paper introduces Hermite-type Neural Network (HNN) operators and their integral-based extension, Hermite-Kantorovich Neural Network (HKNN) operat...

Assessing the Accuracy of Large Language Models on European Guidelines for Cervical Cancer: An In Silico Benchmarking Study.

OBJECTIVE: Although large language models are increasingly used in clinical and research settings, the validity of the information they provide remain...

Explainable artificial intelligence for multi-modal cancer analysis: From genomics to immunology.

Cancer remains one of the most biologically intricate and heterogeneous diseases, with variability spanning genetic, epigenetic, metabolic, spatial, a...

An AI-Assisted Adaptive Boolean Rubric for exercise prescription evaluation: A pilot validation study.

BACKGROUND: The quality assessment of personalized exercise prescriptions is currently hampered by the subjectivity and inefficiency of traditional ra...

Exploring AI integration in continuing pharmacy education: A survey of emerging institutional practice and initial guidance.

INTRODUCTION: The rapid evolution of artificial intelligence (AI) is reshaping pharmacy continuing education (CE), offering innovative content generat...

Assessment of Large Language Models in Human Resource Challenges across Corporate Hospitals in India: A Cross-sectional Study.

BACKGROUND: The primary objective of the study was to evaluate and compare the effectiveness of four artificial intelligence (AI) platforms - ChatGPT,...

Development and application of DAISY framework for benchmarking AI generated vs human-written abstracts in dental research.

BACKGROUND: Despite the increasing use of AI tools like ChatGPT, Claude, and Gemini in scientific writing, concerns remain about their ability to gene...

Building a Quantitative Telemedicine Platform for Myasthenia Gravis: Augmenting the Physical Examination.

Myasthenia gravis (MG), a fluctuating autoimmune neuromuscular disease, presents unique challenges for remote assessment due to its reliance on detail...

Advancements in burn size assessment: A systematic review of emerging technologies.

BACKGROUND: Accurate and reproducible assessment of total body surface area (TBSA) in burns is vital for guiding fluid resuscitation, triage, referral...

US Occupational Medicine Clinicians' Perceptions and Practices With Respect to Artificial Intelligence Large Language Models: A Mixed-Methods Investigation.

OBJECTIVE: The aim of the study was to explore US occupational and environmental medicine (OEM) clinicians' perceptions, knowledge, practices, and int...

Streamlining the Histopathologic Workflow in Diabetic Kidney Disease with Artificial Intelligence.

KEY POINTS: Artificial intelligence models effectively generalized across studies and animal models and reduced translational gaps when applied to hum...