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

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Validating Emotion Analysis on Social Media Text for Detecting Psychological Distress: A Cross-Sectional Survey.

This study investigates the relationship between self-reported psychological distress and emotions i...

Evaluating and mitigating bias in AI-based medical text generation.

Artificial intelligence (AI) systems, particularly those based on deep learning models, have increas...

Comments on "Dialogue between algorithms and soil: Machine learning unravels the mystery of phthalates pollution in soil" by Pan et al. (2025).

Pan et al. demonstrated the superior predictive performance of their machine learning ML models for ...

Machine learning based identification of suicidal ideation using non-suicidal predictors in a university mental health clinic.

Suicide causes over 700,000 deaths annually worldwide. Mental disorders are closely linked to suicid...

Machine learning modeling and multi objective optimization of artificial detrusor.

To address the problem of obtaining optimal design parameters for existing artificial detrusors usin...

Confidence interval forecasting model of small watershed flood based on compound recurrent neural networks and Bayesian.

Flood forecasting exhibits rapid fluctuations, water level forecasting shows great uncertainty and i...

Federated Learning in radiomics: A comprehensive meta-survey on medical image analysis.

Federated Learning (FL) has emerged as a promising approach for collaborative medical image analysis...

Advancing harmful algal bloom predictions using chlorophyll-a as an Indicator: Combining deep learning and EnKF data assimilation method.

The use of data driven deep learning models to predict and monitor Harmful Algal Blooms (HABs) has e...

From marker to markerless: Validating DeepLabCut for 2D sagittal plane gait analysis in adults and newly walking toddlers.

The use of 3D marker-based motion analysis systems is considered the gold standard for tracking limb...

Hierarchical embedding attention for overall survival prediction in lung cancer from unstructured EHRs.

The automated processing of Electronic Health Records (EHRs) poses a significant challenge due to th...

Artificial intelligence in key pricing, reimbursement, and market access (PRMA) processes: better, faster, cheaper-can you really pick two?

The rapid evolution of large language models (LLMs) and machine learning (ML) presents both signific...

Predicting coronary heart disease with advanced machine learning classifiers for improved cardiovascular risk assessment.

Worldwide, coronary heart disease (CHD) is a leading cause of mortality, and its early prediction re...

Sensitivity of a deep-learning-based breast cancer risk prediction model.

When it comes to the implementation of deep-learning based breast cancer risk (BCR) prediction model...

Assessing the Quality and Reliability of ChatGPT's Responses to Radiotherapy-Related Patient Queries: Comparative Study With GPT-3.5 and GPT-4.

BACKGROUND: Patients frequently resort to the internet to access information about cancer. However, ...

Machine learning model for age related macular degeneration based on pesticides: the National Health and Nutrition Examination Survey 2007-2008.

Age-related macular degeneration (AMD) is the most common cause of irreversible deterioration of vis...

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