Hospital-Based Medicine

Risk Management

Latest AI and machine learning research in risk management for healthcare professionals.

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A lane-level LBS system for vehicle network with high-precision BDS/GPS positioning.

In recent years, research on vehicle network location service has begun to focus on its intelligence...

Towards semantic-driven high-content image analysis: an operational instantiation for mitosis detection in digital histopathology.

This study concerns a novel symbolic cognitive vision framework emerged from the Cognitive Microscop...

Measuring the crowd within again: a pre-registered replication study.

According to the crowd within effect, the average of two estimates from one person tends to be more ...

Biomechanical analysis on neurotypical and autism spectrum disorder people during human-cobot interaction.

Biomechanical analysis is essential for assessing subjects interacting with robotic setups and platf...

Neuroadaptive fixed-time fault-tolerant containment control of high-order MIMO Nonlinear multi-agent systems in affine strict-feedback form.

This paper is concerned with the fixed-time containment control problem for high-order MIMO nonlinea...

Constructing Accurate Potential Energy Surfaces with Limited High-Level Data Using Atom-Centered Potentials and Density Functional Theory.

We present a general method for developing a Δ-DFT-type approach that enables the generation of ener...

A Scoping Review of AI/ML Algorithm Updating Practices for Model Continuity and Patient Safety Using a Simplified Checklist.

The ubiquity of clinical artificial intelligence (AI) and machine learning (ML) models necessitates ...

Mitigating error cancellation in density functional approximations via machine learning correction.

The integration of machine learning (ML) with density functional theory has emerged as a promising s...

RAPID: Reliable and efficient Automatic generation of submission rePortIng checklists with large language moDels.

OBJECTIVE: To evaluate an automated reporting checklist generation tool using large language models ...

A systematic methodological evaluation of sepsis guidelines: Protocol for quality assessment and consistency of recommendations.

BACKGROUND: Sepsis is a leading cause of mortality worldwide, characterized by a dysregulated host r...

Are AI-based surveillance systems for healthcare-associated infections ready for clinical practice? A systematic review and meta-analysis.

Healthcare-associated infections (HAIs) are a global public health concern, imposing significant cli...

New case law and liability risks for manufacturers of medical AI.

Recent case law can shape how innovation unfolds.

Artificial intelligence for difficult airway assessment: a protocol for a systematic review with meta-analysis.

INTRODUCTION: Identifying difficult airways and avoiding unanticipated difficult airways through dif...

Adverse Outcome Pathway and Machine Learning to Predict Drug Induced Seizure Liability.

Central nervous system (CNS) drugs have the highest clinical attrition, often due to CNS-related tox...

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