Surgery

Surveys

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

5,810 articles
Stay Ahead - Weekly Surveys research updates
Subscribe
Browse Specialties
Showing 547-567 of 5,810 articles
Type 2 diabetes prediction method based on dual-teacher knowledge distillation and feature enhancement.

Diabetes prediction is an important topic in the field of medical health. Accurate prediction can he...

Artificial intelligence-based cardiovascular/stroke risk stratification in women affected by autoimmune disorders: a narrative survey.

Women are disproportionately affected by chronic autoimmune diseases (AD) like systemic lupus erythe...

Prompt-Driven Latent Domain Generalization for Medical Image Classification.

Deep learning models for medical image analysis easily suffer from distribution shifts caused by dat...

Generalizability, robustness, and correction bias of segmentations of thoracic organs at risk in CT images.

OBJECTIVE: This study aims to assess and compare two state-of-the-art deep learning approaches for s...

[A national survey from the French Society of Pathology on research and application of artificial intelligence in pathology].

The 2030 French Innovation Healthcare national plan defined "Digital Healthcare" as one of its prior...

Machine learning outperforms humans in microplastic characterization and reveals human labelling errors in FTIR data.

Microplastics are ubiquitous and appear to be harmful, however, the full extent to which these infli...

A computational deep learning investigation of animacy perception in the human brain.

The functional organization of the human object vision pathway distinguishes between animate and ina...

Radiologists' perceptions and readiness for integrating artificial intelligence in diagnostic imaging: A survey-based study.

Artificial intelligence (AI) is revolutionizing diagnostic imaging, enhancing precision, speed and e...

Whither bias goes, I will go: An integrative, systematic review of algorithmic bias mitigation.

Machine learning (ML) models are increasingly used for personnel assessment and selection (e.g., res...

Allied Health Professionals' Perceptions of Artificial Intelligence in the Clinical Setting: Cross-Sectional Survey.

BACKGROUND: Artificial intelligence (AI) has the potential to address growing logistical and economi...

Attention-guided convolutional network for bias-mitigated and interpretable oral lesion classification.

Accurate diagnosis of oral lesions, early indicators of oral cancer, is a complex clinical challenge...

Utilising causal inference methods to estimate effects and strategise interventions in observational health data.

Randomised controlled trials (RCTs) are the gold standard for evaluating health interventions but of...

Survey evidence on public support for AI safety oversight.

A number of AI safety concerns are being increasingly discussed by experts, including misinformation...

The aluminum standard: using generative Artificial Intelligence tools to synthesize and annotate non-structured patient data.

BACKGROUND: Medical narratives are fundamental to the correct identification of a patient's health c...

Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.

BACKGROUND: Machine learning (ML) is increasingly used in population and public health to support ep...

Artificial intelligence in in-vitro fertilization (IVF): A new era of precision and personalization in fertility treatments.

In-vitro fertilization (IVF) has been a transformative advancement in assisted reproductive technolo...

Prediction of Composite Clinical Outcomes for Childhood Neuroblastoma Using Multi-Omics Data and Machine Learning.

Neuroblastoma is a common malignant tumor in childhood that seriously endangers the health and lives...

Applications and Future Prospects of Medical LLMs: A Survey Based on the M-KAT Conceptual Framework.

The success of large language models (LLMs) in general areas have sparked a wave of research into th...

Browse Specialties