Surveys

Evaluating the readability, quality, and reliability of responses generated by ChatGPT, Gemini, and Perplexity on the most commonly asked questions about Ankylosing spondylitis.

Ankylosing spondylitis (AS), which usually occurs in the second and third decades of life, is associated with chronic pain, limitation of mobility, and severe decreases in quality of life. This study aimed to make a comparative evaluation in terms of the readability, information accuracy and quality of the answers given by artificial intelligence (AI)-based chatbots such as ChatGPT, Perplexity and...

The Use of Artificial Intelligence in Residency Application Evaluation-A Scoping Review.

Several residency programs have begun investigating artificial intelligence (AI) methods to facilitate application screening processes. However, no unifying guidelines for these methods exist. We sought to perform a scoping review of AI model development and use in residency/fellowship application review, including if bias was explored. A scoping review was performed according to PRISMA-ScR (Pr...

A scoping review and evidence gap analysis of clinical AI fairness.

The ethical integration of artificial intelligence (AI) in healthcare necessitates addressing fairness. AI fairness involves mitigating biases in AI a...

ChatGPT: Pharmacy students' perceptions, current use trends, ethical awareness, standards of ethics, prospects and recommendations for future use.

The launch of ChatGPT by OpenAI reflected a significant turning point in the search and management of diversified information in all fields of knowled...

Assessing the Quality, Usefulness, and Reliability of Large Language Models (ChatGPT, DeepSeek, and Gemini) in Answering General Questions Regarding Dyslexia and Dyscalculia.

The current study aimed to evaluate the quality, usefulness, and reliability of three large language models (LLMs)-ChatGPT-4, DeepSeek, and Gemini-in ...

MoS Channel-Enhanced High-Density Charge Trap Flash Memory and Machine Learning-Assisted Sensing Methodologies for Memory-Centric Computing Systems.

Driven by the shift of artificial intelligence (AI) workloads to edge devices, there is a growing demand for nonvolatile memory solutions that offer h...

Prediction of Bone Formation Rate of Artificial Bone With Machine Learning Models Considering the Variation of Experimental Results.

The proportion of older people in the world's total population is expected to increase. Bone diseases are more prevalent in older people; therefore, t...

Development of a machine learning-based model to predict urethral recurrence following radical cystectomy: a multicentre retrospective study and updated meta-analysis.

Urethral recurrence (UR) following radical cystectomy for bladder cancer represents an aggressive disease failure with typically poor survival outcome...

Artificial Intelligence Chatbots as Virtual Patients in Dental Education: A Constructivist Approach to Classroom Implementation.

INTRODUCTION: Advances in artificial intelligence (AI) have led to new possibilities for AI role-play in classroom settings, where generative pre-trai...

Molecular Optimization Based on a Monte Carlo Tree Search and Multiobjective Genetic Algorithm.

In the realm of medicinal chemistry, the predominant challenge in molecular design lies in managing extensive molecular data sets and effectively scre...

Trust, Trustworthiness, and the Future of Medical AI: Outcomes of an Interdisciplinary Expert Workshop.

Trustworthiness has become a key concept for the ethical development and application of artificial intelligence (AI) in medicine. Various guidelines h...

Out-of-distribution reject option method for dataset shift problem in early disease onset prediction.

Machine learning is increasingly used to predict lifestyle-related disease onset using health and medical data. However, its predictive accuracy for u...

It's raining bots: how easier access to internet surveys has created the perfect storm.

Online surveys are an increasingly common way to collect data from the public, with social media and financial incentives (e.g. gift cards) commonly u...

Unsophisticated AI coaching does not improve performance on symptom and performance validity tests in a Romanian sample of experimental feigners.

The present study aimed to investigate the ability of symptom and performance validity indicators to detect experimental feigning with symptom-coachin...

NeoPred: dual-phase CT AI forecasts pathologic response to neoadjuvant chemo-immunotherapy in NSCLC.

BACKGROUND: Accurate preoperative prediction of major pathological response or pathological complete response after neoadjuvant chemo-immunotherapy re...

Estimating wage disparities using foundation models.

The rise of foundation models marks a paradigm shift in machine learning: instead of training specialized models from scratch, foundation models are t...

Bias in Artificial Intelligence: Impact on Breast Imaging.

Artificial intelligence (AI) in breast imaging has garnered significant attention given the numerous reports of improved efficiency, accuracy, and the...

Evaluating performance of large language models for atrial fibrillation management using different prompting strategies and languages.

This study evaluated large language models (LLMs) using 30 questions, each derived from a recommendation in the 2024 European Society of Cardiology (E...

Undesired nexus poor health status of child under-five: A case study of Pakistan.

Childhood morbidity and mortality are key indicators of human development, particularly reflecting poor health conditions in children. In Pakistan, ch...

A preliminary study of the reliability and validity of the Uyghur version of the NUCOG cognitive screening application.

INTRODUCTION: Technological advances and artificial intelligence now make it feasible to administer cognitive assessments on touch-screen devices. The...