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

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Cognitive bias in generative AI influences religious education.

This study explores the transformative role of generative artificial intelligence (AI) in shaping re...

Accuracy of Low-Dose Chest CT-Based Artificial Intelligence Models in Osteoporosis Detection: A Systematic Review and Meta-analysis.

The purpose of this study is to systematically review and evaluate the accuracy of low-dose chest CT...

Artificial Intelligence Applications in Obstetric Risk Prediction: A Systematic Review of Machine Learning Models for Preeclampsia.

Preeclampsia remains a leading cause of maternal and perinatal morbidity and mortality worldwide. Wh...

Pitfalls and Best Practices in Evaluation of AI Algorithmic Biases in Radiology.

Despite growing awareness of problems with fairness in artificial intelligence (AI) models in radiol...

Generative AI mitigates representation bias and improves model fairness through synthetic health data.

Representation bias in health data can lead to unfair decisions and compromise the generalisability ...

Assessing the impact of the TB response in Taiwan - the journey towards ending TB.

The incidence of TB in Taiwan declined by 62% from 2005 to 2023 (i.e., from 73/100,000 to 28/100,000...

Prediction of total phosphorus removal in hybrid constructed wetlands: a machine learning approach for rice mill wastewater treatment.

Efficient prediction of pollutant concentrations in constructed wetlands is critical for optimizing ...

Enhancing mechanical ventilator reliability through machine learning based predictive maintenance.

BackgroundWith the advancement of Artificial Intelligence (AI), clinical engineering has witnessed t...

Expert consensus document on artificial intelligence of the Italian Society of Cardiology.

Artificial intelligence (AI), a branch of computer science focused on developing algorithms that rep...

Anatomy-derived 3D Aortic Hemodynamics Using Fluid Physics-informed Deep Learning.

Background Four-dimensional (4D) flow MRI provides assessment of thoracic aorta hemodynamic measures...

Unveiling Public Stigma for Borderline Personality Disorder: A Comparative Study of Artificial Intelligence and Mental Health Care Providers.

Generative artificial intelligence (GAI) programs can identify symptoms and make recommendations for...

Patient Perception of Artificial Intelligence Use in Interpretation of Screening Mammograms: A Survey Study.

Purpose To assess patient perceptions of artificial intelligence (AI) use in the interpretation of s...

Artificial Intelligence-Guided Assessment of Femoral Neck Fractures in Radiographs: A Systematic Review and Multilevel Meta-Analysis.

Artificial Intelligence (AI) is a dynamic area of computer science that is constantly expanding its ...

Bioactivity predictions and virtual screening using machine learning predictive model.

Recently, there has been significant attention on machine learning algorithms for predictive modelin...

Knowledge and Perception of Artificial Intelligence in Medicine Among Undergraduate Medical Students in Sri Lanka: A Cross Sectional Study.

As AI is increasingly being used in medical practise, it is important to equip medical students with...

Challenges of Artificial Intelligence in Medicine.

Artificial Intelligence (AI) holds great promise for healthcare, promising improved patient outcomes...

Audio-based digital biomarkers in diagnosing and managing respiratory diseases: a systematic review and bibliometric analysis.

Advances in wearable sensors and artificial intelligence have greatly enhanced the potential of digi...

Readability, reliability and quality of responses generated by ChatGPT, gemini, and perplexity for the most frequently asked questions about pain.

It is clear that artificial intelligence-based chatbots will be popular applications in the field of...

Big data analytics and machine learning in hematology: Transformative insights, applications and challenges.

The integration of big data analytics and machine learning (ML) into hematology has ushered in a new...

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