Surveys

Surveys

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

3,859 articles

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...

Apr 2025 40200457

Cognitive Debiasing Large Language Models for Decision-Making

Large language models (LLMs) have shown potential in supporting decision-making applications, part...

Apr 2025 http://arxiv.org/abs/2504.04141v3

Bias in Large Language Models Across Clinical Applications: A Systematic Review

Background: Large language models (LLMs) are rapidly being integrated into healthcare, promising t...

Apr 2025 http://arxiv.org/abs/2504.02917v1

Reliable Physiological Monitoring on the Wrist Using Generative Deep Learning to Address Poor Skin-Sensor Contact

Photoplethysmography (PPG) is a widely adopted, non-invasive technique for monitoring cardiovascul...

(1)

Apr 2025 http://arxiv.org/abs/2504.02735v2

Automated Survey Collection with LLM-based Conversational Agents

Objective: Traditional phone-based surveys are among the most accessible and widely used methods t...

Apr 2025 http://arxiv.org/abs/2504.02891v1

Implicit Bias Injection Attacks against Text-to-Image Diffusion Models

The proliferation of text-to-image diffusion models (T2I DMs) has led to an increased presence of ...

(2)

Apr 2025 http://arxiv.org/abs/2504.01819v1

Using complex prompts to identify fine-grained biases in image generation through ChatGPT-4o

There are not one but two dimensions of bias that can be revealed through the study of large AI mo...

(1)

Apr 2025 http://arxiv.org/abs/2504.00388v1

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...

(1)

Apr 2025 40368428

Synthesizing Public Opinions with LLMs: Role Creation, Impacts, and the Future to eDemorcacy

This paper investigates the use of Large Language Models (LLMs) to synthesize public opinion data,...

Mar 2025 http://arxiv.org/abs/2504.00241v1

Boosting MLLM Reasoning with Text-Debiased Hint-GRPO

MLLM reasoning has drawn widespread research for its excellent problem-solving capability. Current...

Mar 2025 http://arxiv.org/abs/2503.23905v1

A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models

With the increasing use of image generation technology, understanding its social biases, including...

Mar 2025 http://arxiv.org/abs/2503.23398v1

Data Quality Matters: Quantifying Image Quality Impact on Machine Learning Performance

Precise perception of the environment is essential in highly automated driving systems, which rely...

Mar 2025 http://arxiv.org/abs/2503.22375v1

Medical Reasoning in LLMs: An In-Depth Analysis of DeepSeek R1

Integrating large language models (LLMs) like DeepSeek R1 into healthcare requires rigorous evalua...

Mar 2025 http://arxiv.org/abs/2504.00016v1

GateLens: A Reasoning-Enhanced LLM Agent for Automotive Software Release Analytics

Ensuring the reliability and effectiveness of software release decisions is critical, particularly...

Mar 2025 http://arxiv.org/abs/2503.21735v1

Extending Silicon Lifetime: A Review of Design Techniques for Reliable Integrated Circuits

Reliability has become an increasing concern in modern computing. Integrated circuits (ICs) are th...

Mar 2025 http://arxiv.org/abs/2503.21165v1

Sacred or Secular? Religious Bias in AI-Generated Financial Advice

This study examines religious biases in AI-generated financial advice, focusing on ChatGPT's respo...

Mar 2025 http://arxiv.org/abs/2504.07118v1

Training in translation tools and technologies: Findings of the EMT survey 2023

This article reports on the third iteration of a survey of computerized tools and technologies tau...

Mar 2025 http://arxiv.org/abs/2503.22735v1

Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering

Multimodal large language models (MLLMs) have demonstrated significant potential in medical Visual...

Mar 2025 http://arxiv.org/abs/2503.20504v1

Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability

Diffusion models have demonstrated impressive capabilities in synthesizing diverse content. Howeve...

Mar 2025 http://arxiv.org/abs/2503.20483v1

Leveraging Implicit Sentiments: Enhancing Reliability and Validity in Psychological Trait Evaluation of LLMs

Recent advancements in Large Language Models (LLMs) have led to their increasing integration into ...

(1)

Mar 2025 http://arxiv.org/abs/2503.20182v1

Bayesian generative models can flag performance loss, bias, and out-of-distribution image content

Generative models are popular for medical imaging tasks such as anomaly detection, feature extract...

Mar 2025 http://arxiv.org/abs/2503.17477v1

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