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

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Coverage bias in small molecule machine learning.

Small molecule machine learning aims to predict chemical, biochemical, or biological properties from...

Sex-Based Bias in Artificial Intelligence-Based Segmentation Models in Clinical Oncology.

Artificial intelligence (AI) advancements have accelerated applications of imaging in clinical oncol...

Enhancing meteorological data reliability: An explainable deep learning method for anomaly detection.

Accurate meteorological observation data is of great importance to human production activities. Mete...

Humor as a window into generative AI bias.

A preregistered audit of 600 images by generative AI across 150 different prompts explores the link ...

A Comprehensive Review of Artificial Intelligence (AI) Applications in Pulmonary Hypertension (PH).

Pulmonary hypertension (PH) is a complex condition associated with significant morbidity and mortal...

Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments.

Industry 4.0 represents the fourth industrial revolution, which is characterized by the incorporatio...

SRADHO: statistical reduction approach with deep hyper optimization for disease classification using artificial intelligence.

Artificial Intelligence techniques are being used to analyse vast amounts of medical data and assist...

Bias Mitigation in Primary Health Care Artificial Intelligence Models: Scoping Review.

BACKGROUND: Artificial intelligence (AI) predictive models in primary health care have the potential...

Revolutionizing Health Care: The Transformative Impact of Large Language Models in Medicine.

Large language models (LLMs) are rapidly advancing medical artificial intelligence, offering revolut...

Unsupervised deep learning-based medical image registration: a survey.

In recent decades, medical image registration technology has undergone significant development, beco...

Ethical Considerations in the Use of Artificial Intelligence in Pain Medicine.

Although the integration of artificial intelligence (AI) into medicine and healthcare holds transfor...

DeepQA: A Unified Transcriptome-Based Aging Clock Using Deep Neural Networks.

Understanding the complex biological process of aging is of great value, especially as it can help d...

Automatic medical report generation based on deep learning: A state of the art survey.

With the increasing popularity of medical imaging and its expanding applications, posing significant...

Assessing the feasibility and external validity of natural language processing-extracted data for advanced lung cancer patients.

BACKGROUND: Manual extraction of real-world clinical data for research can be time-consuming and pro...

A Longitudinal Prediction of Suicide Attempts in Borderline Personality Disorder: A Machine Learning Study.

Borderline personality disorder (BPD) is associated with a high risk of suicide. Despite several ris...

Machine learning-assisted construction of COPD self-evaluation questionnaire (COPD-EQ): a national multicentre study in China.

BACKGROUND: Approximately 70% of chronic obstructive pulmonary disease (COPD) is underdiagnosed worl...

Bias in adjudication: Investigating the impact of artificial intelligence, media, financial and legal institutions in pursuit of social justice.

The latest global progress report highlights numerous challenges in achieving justice goals, with bi...

STI/HIV risk prediction model development-A novel use of public data to forecast STIs/HIV risk for men who have sex with men.

A novel automatic framework is proposed for global sexually transmissible infections (STIs) and HIV ...

Issues and Limitations on the Road to Fair and Inclusive AI Solutions for Biomedical Challenges.

OBJECTIVE: In this paper, we explore the correlation between performance reporting and the developme...

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