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Latest AI and machine learning research in surveys for healthcare professionals.

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Predicting arterial pressure without prejudice: towards effective hypotension prediction models.

Selection bias has been identified in hypotension prediction models, but its impact on an algorithm'...

Addressing bias in biomarker discovery for inflammatory bowel diseases: A multi-faceted analytical approach.

Xiang-Guang et al. investigate the identification of novel biomarkers linked to M1 macrophage infilt...

Diabetic retinopathy detection from fundus images: A wide survey from grading to segmentation of lesions.

Diabetes is one of the most common diseases worldwide and requires accurate diagnosis. Patients with...

Assessing the reliability of ChatGPT in cytogenetic reporting and interpretation: implications for clinical use.

This study evaluates the accuracy of ChatGPT in generating chromosomal representations (formulas) ba...

Video-based pupillometry using Fourier Mellin image correlation.

We introduce a novel method for evaluating the pupil light reflex (PLR) response using digital video...

Comparative evaluation of ChatGPT and LLaMA for reliability, quality, and accuracy in familial Mediterranean fever.

UNLABELLED: Familial Mediterranean fever (FMF) is the most common monogenic autoinflammatory disease...

Revolutionizing personalized medicine using artificial intelligence: a meta-analysis of predictive diagnostics and their impacts on drug development.

Artificial intelligence (AI) is transforming the landscape of laboratory medicine by enhancing diagn...

2HR-Net VSLAM: Robust visual SLAM based on dual high-reliability feature matching in dynamic environments.

Visual Simultaneous Localization and Mapping (VSLAM) is the key technology for autonomous navigation...

Fault analysis of chemical equipment based on an improved hybrid model.

The safety and reliability of chemical equipment are crucial to industrial production, as they direc...

Artificial intelligence for diagnosing rare bone diseases: a global survey of healthcare professionals.

BACKGROUND: Rare bone diseases (RBDs) are an important group of conditions characterized by abnormal...

Developing a cost-effective tool for choke flow rate prediction in sub-critical oil wells using wellhead data.

Accurate prediction of oil production rates through wellhead chokes is critical for optimizing crude...

Advancing psychological assessment: quantifying self-compassion through free-text responses and language model BERT.

Self-compassion, which refers to compassion directed toward oneself, is associated with mental healt...

Multiobjective optimization of CO injection under geomechanical risk in high water cut oil reservoirs using artificial intelligence approaches.

To obtain the maximum field oil recovery (FOR) and CO sequestration ratio (CSR), it is imperative to...

AI-powered prediction model for neoadjuvant chemotherapy efficacy: comprehensive analysis of breast cancer histological images.

Breast cancer patients exhibit variable responses to neoadjuvant therapy (NAT), necessitating robust...

Integrating equity, diversity, and inclusion throughout the lifecycle of artificial intelligence for healthcare: a scoping review.

The lack of Equity, Diversity, and Inclusion (EDI) principles in the lifecycle of Artificial Intelli...

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...

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 app...

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