Practice Management

Medicolegal

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

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Showing 22-42 of 8,451 articles
Automatic measuring of coronary atherosclerosis from medicolegal autopsy photographs based on deep learning techniques.

A diagnosis of atherosclerotic cardiovascular disease is critical importance in forensic medicine, p...

Significance of a Novel Angiogenesis-Related Biomarker Neuropilin-1 in Keloids.

Keloids are a severe type of pathological scars caused by excessive connective tissue hyperplasia af...

Accuracy and challenges in age estimation in adults: a scoping review of anthropological, dental, biochemical, and molecular methods.

Age estimation is crucial in forensic sciences for victim identification, migration studies, and bio...

Breaking barriers in ICD classification with a robust graph neural network for hierarchical coding.

The accurate classification of International Classification of Diseases (ICD) codes is a complex and...

[Artificial intelligence in hospital logistics and operational processes].

The implementation of artificial intelligence (AI) solutions in hospital logistics is becoming incre...

Perovskite Neuromorphic Engine for Transformer Architectures.

Memristive computing refers to the hardware implementation of artificial neural networks (ANNs) by e...

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...

How machine learning on real world clinical data improves adverse event recording for endoscopy.

Endoscopic interventions are essential for diagnosing and treating gastrointestinal conditions. Accu...

SynergyBug: A deep learning approach to autonomous debugging and code remediation.

Bug detection and resolution are pivotal to maintaining the quality, reliability, and performance of...

MMDental - A multimodal dataset of tooth CBCT images with expert medical records.

In the rapidly evolving field of dental intelligent healthcare, where Artificial Intelligence (AI) p...

Current Research and Development in the Field of Magnetic Resonance Contrast Media.

The next-generation, high relaxivity, gadolinium-based contrast agents (GBCAs) are discussed, togeth...

pyDOSEIA: A Python Package for Radiological Impact Assessment during Long-term or Accidental Atmospheric Releases.

pyDOSEIA is a Python package designed for meteorological data processing and radiological impact ass...

Effect of a generative artificial intelligence digital scribe on pediatric provider documentation time, cognitive burden, and burnout.

OBJECTIVE: To assess the effect of a digital scribe among pediatric providers on documentation time,...

Artificial Intelligence to Improve Clinical Coding Practice in Scandinavia: Crossover Randomized Controlled Trial.

BACKGROUND: Clinical coding is critical for hospital reimbursement, quality assessment, and health c...

The Effect of Ambient Artificial Intelligence Scribes on Trainee Documentation Burden.

BACKGROUND: Ambient artificial intelligence scribes have become widespread commercial products in th...

Air quality monitoring in Mendoza, Argentina: machine learning approaches for PM prediction.

In this study, different statistical methodologies were combined to assess the relationship between ...

Perceived worries in the adoption of artificial intelligence among nurses in neonatal intensive care units.

INTRODUCTION: Artificial Intelligence (AI) comprises computational algorithms designed to analyze da...

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