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Prevention of medical errors

Latest AI and machine learning research in prevention of medical errors for healthcare professionals.

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Enhancing online interaction through avatar-based dialogue systems utilizing the approaching movement.

The rise in online interactions has introduced multiple challenges, including confusion during virtu...

Clinical Performance and Communication Skills of ChatGPT Versus Physicians in Emergency Medicine: Simulated Patient Study.

BACKGROUND: Emergency medicine can benefit from artificial intelligence (AI) due to its unique chall...

Predictive modeling for step II therapy response in periodontitis - model development and validation.

Steps I and II periodontal therapy is the first-line treatment for periodontal disease, but has vary...

Evaluating the Usability of an HIV Prevention Artificial Intelligence Chatbot in Malaysia: National Observational Study.

BACKGROUND: Malaysia, an upper middle-income country in the Asia-Pacific region, has an HIV epidemic...

Study on the Effect of the Envelope of Terahertz Unipolar Stimulation on Cell Membrane Communication-Related Variables.

The development of terahertz science and technology has shown new application prospects in artificia...

Classification of Renal Lesions by Leveraging Hybrid Features from CT Images Using Machine Learning Techniques.

Renal cancer is amid the several reasons of increasing mortality rates globally, which can be reduce...

Solvent Replacement-Driven Ionic Liquid Thermoelectric Gel for Self-Powered Morse Code Communication Assisted by Machine Learning.

The development of ionic liquid gels (IL gels) with both high thermoelectric performance and mechani...

iALP: Identification of Allergenic Proteins Based on Large Language Model and Gate Linear Unit.

The rising incidence of allergic disorders has emerged as a pressing public health issue worldwide, ...

The role of artificial intelligence for dengue prevention, control, and management: A technical narrative review.

Dengue fever remains a significant global health threat, particularly in tropical and subtropical re...

Prediabetes phenotypes: can aetiology and risk profile guide lifestyle strategies for diabetes prevention?

INTRODUCTION: Type 2 diabetes (T2D) continues to worsen globally alongside rise in obesity. Asymptom...

Towards energy-efficient joint relay selection and resource allocation for D2D communication using hybrid heuristic-based deep learning.

Fifth generation (5G) networks are desired to offer improved data rates employed for enhancing innov...

Transformative potential of artificial intelligence in US CDC HIV interventions: balancing innovation with health privacy.

Artificial intelligence (AI) holds significant potential to transform HIV prevention and treatment t...

Applying deep learning techniques to identify tonsilloliths in panoramic radiography.

Tonsilloliths can be seen on panoramic radiographs (PRs) as deposits located on the middle portion o...

Use of artificial intelligence to prevent aggressions against health professionals.

The alarming rise in assaults against healthcare professionals is a public health and occupational i...

Brain region localization: a rapid Parkinson's disease detection method based on EEG signals.

Parkinson's disease (PD) is a prevalent neurodegenerative disorder worldwide, often progressing to m...

A Flexible Single-Sensor MEMS E-Nose with Dual-Temperature Modulation for VOCs Classification and Breath-Based Silent Communication.

Electronic noses (e-noses) have become indispensable analytical platforms for gas detection. However...

Multiparameter MRI-based automatic segmentation and diagnostic models for the differentiation of intracranial solitary fibrous tumors and meningiomas.

BACKGROUND: Intracranial solitary fibrous tumors (SFTs) and meningiomas are meningeal tumors with di...

Robust Bi-CBMSegNet framework for advancing breast mass segmentation in mammography with a dual module encoder-decoder approach.

Breast cancer is a prevalent disease affecting millions of women worldwide, and early screening can ...

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