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Surveys

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

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Ethics: Crisis Standards of Care Simulation.

Ethical dilemmas exist with decision-making regarding resource allocations, such as critical care, v...

Assessing the validity of ICD-10 administrative data in coding comorbidities.

OBJECTIVES: Administrative data are commonly used to inform chronic disease prevalence and support h...

SEMTWIST Quantification of Biofilm Infection in Human Chronic Wound Using Scanning Electron Microscopy and Machine Learning.

To develop scanning electron microscopy-based Trainable Weka (Waikato Environment for Knowledge Ana...

Rapid Response System Restructure: Focus on Prevention and Early Intervention.

This article describes the staged restructure of the rapid response program into a dedicated 24/7 pr...

Data Interpretation in Structural Health Monitoring: Toward a Universal Language.

Structural Health Monitoring (SHM) relies on the effective communication between sensors and diagnos...

The Rise of Clinical Decision Support Algorithms in Pain Management 2009-2024.

This paper examines the rise of clinical decision support algorithms used to assess risk in pain man...

Impact of pharmacology perception and learning strategies on academic achievement in undergraduate pharmacy students.

Pharmacology is a cornerstone of pharmacy education, bridging biomedical sciences with clinical appl...

Global Health care Professionals' Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study.

BACKGROUND: ChatGPT is a large language model-based chatbot developed by OpenAI. ChatGPT has many po...

SA-Seg: Annotation-Efficient Segmentation for Airway Tree Using Saliency-based Annotation.

Segmentation of the airway tree plays a vital role in clinical practice. However, the complex airway...

Mitigating Bias in Machine Learning Models with Ethics-Based Initiatives: The Case of Sepsis.

This paper discusses ethics-based strategies for mitigating bias in machine learning models used to ...

Evaluation and Bias Analysis of Large Language Models in Generating Synthetic Electronic Health Records: Comparative Study.

BACKGROUND: Synthetic electronic health records (EHRs) generated by large language models (LLMs) off...

The Society of Thoracic Radiology Mentorship Program: A Paradigm for Professional Societies.

The Society of Thoracic Radiology (STR) membership enthusiastically embraced the launch of its mento...

Algorithms and Methods for Individual Source Camera Identification: A Survey.

Source camera identification (SCI) is a key issue in the field of digital forensics. This paper pres...

Comparative analysis of LLMs performance in medical embryology: A cross-platform study of ChatGPT, Claude, Gemini, and Copilot.

Integrating artificial intelligence, particularly large language models (LLMs), into medical educati...

[Progress in method development and application of distributed learning for estimation of epidemiological effect].

To systematically review the progress in the method development and application of distributed lear...

Machine learning for the prediction of diabetes-related amputation: a systematic review and meta-analysis of diagnostic test accuracy.

Although machine learning is frequently used in medicine for predictive purposes, its accuracy in di...

Telemonitoring Tools for Glaucoma Patients: A Systematic Review of Current Trends and Applications.

: In 2010, approximately 60.5 million people were affected by glaucoma, making it the leading cause ...

Shortcut learning leads to sex bias in deep learning models for photoacoustic tomography.

PURPOSE: Shortcut learning has been identified as a source of algorithmic unfairness in medical imag...

ANCHOR-Grid: Authenticating Smart Grid Digital Twins Using Real-World Anchors.

Integrating digital twins (DTs) into smart grid systems within the Internet of Smart Grid Things (Io...

Artificial Intelligence in Aquatic Biodiversity Research: A PRISMA-Based Systematic Review.

Freshwater ecosystems are increasingly threatened by climate change and anthropogenic activities, ne...

Real time intelligent garbage monitoring and efficient collection using Yolov8 and Yolov5 deep learning models for environmental sustainability.

Effective waste management is currently one of the most influential factors in enhancing the quality...

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