Medicolegal

NIPSNAP3B elevates mitochondrial biogenesis to attenuate lipid accumulation in childhood obesity via AMPK pathway.

OBJECTIVE: Childhood obesity (CO) has become a global epidemic, leading to rising burden of many diseases and premature death. Thus, this study was conducted to screen the mitochondria-associated biomarkers for patients with CO, as well as the involved molecular mechanism. METHODS: After downloading GSE29718 and GSE104815 datasets from GEO database, differential expression analysis was conducted t...

Bioinspired Multifunctional Hydrogels for Deep Learning-Enabled Wound pH Visual Monitoring and Treatment.

Smart wound dressings capable of real-time environmental monitoring and therapeutic intervention are crucial for managing difficult-to-heal wounds. Herein, we report a bioinspired, enzyme cascade-initiated multifunctional hydrogel (EVQ) that integrates pH-responsive visual monitoring, broad-spectrum antimicrobial activity, and mechanical adaptability for intelligent wound healing. The hydrogel is ...

A Monolithic Ferroelectric-Ionic Duality for Stochastic-Neuromorphic Core Integration.

Learning under uncertainty has become increasingly critical in data-intensive artificial intelligence applications, requiring computing systems that u...

Data Poisoning Vulnerabilities Across Health Care Artificial Intelligence Architectures: Analytical Security Framework and Defense Strategies.

BACKGROUND: Health care artificial intelligence (AI) systems are increasingly integrated into clinical workflows, yet remain vulnerable to data-poison...

An exploratory study on the relationship between renal cell carcinoma and CAFs infiltration by integrating Pathomics and collagen features.

OBJECTIVE: Cancer-associated fibroblasts (CAFs) are a critical component of the tumor microenvironment and play a significant role in renal cell carci...

Health Insurance Portability and Accountability Act Liability in the Age of Generative Artificial Intelligence.

As artificial intelligence tools become increasingly integrated into emergency department workflows, healthcare providers face a growing risk of legal...

Multimodal AI for automated resuscitation debriefing: Feasibility of timeline reconstruction using commercially available tools.

WHAT WAS THE EDUCATIONAL CHALLENGE?: Resuscitation debriefing requires accurate timeline reconstruction for effective team learning. Standard document...

Psychiatric Documentation and Management in Primary Care With Artificial Intelligence Scribe Use.

IMPORTANCE: Despite increasingly widespread use of artificial intelligence (AI)-driven ambient scribes in medicine, the extent to which they are assoc...

Artificial intelligence in emergency medicine: a narrative review.

INTRODUCTION: Artificial intelligence (AI) is increasingly embedded in healthcare, with expanding applications in emergency medicine (EM). OBJECTIVE: ...

ConcreteCARB: A comprehensive image dataset of concrete carbonation for computer vision tasks.

The ConcreteCARB dataset provides a comprehensive repository of 903 high-resolution images of concrete surfaces evaluated using the phenolphthalein te...

Predictive design of stretchable electrodes with strain-insensitive performance via robotics- and machine learning-integrated workflow.

Innovations in wearable electronics and soft robotics hinge significantly on the development of stretchable electrodes. However, a persistent challeng...

Understanding psychiatrist readiness for AI: a study of access, self-efficacy, trust, and design expectations.

BACKGROUND: Artificial intelligence (AI) is receiving growing attention in psychiatric practice, yet psychiatrists vary considerably in how they perce...

Navigating the artificial intelligence (AI) revolution in radiology: a practical guide to medical-legal and ethical imperatives for the practising radiologist.

Artificial intelligence (AI) is now routinely integrated into radiology workflows, including worklist prioritisation, image interpretation, quantifica...

Stratifying amyloid burden in early Alzheimer's disease using cascaded attention-guided vision transformer using [¹⁸F]Florbetapir PET.

OBJECTIVES: This study aims to develop a deep learning model to assist physicians in accurately classifying negative, equivocal, and positive β-amyloi...

[Surgery in the hospital and the practice : Chances, challenges and perspectives in otorhinolaryngology].

Operative ear, nose and throat (ENT) medicine in Germany is facing a profound structural change, which is significantly influenced by the ongoing hosp...

The balance between artificial and human intelligence in clinical practice.

INTRODUCTION: Artificial intelligence (AI) is becoming increasingly integrated into clinical care in hand surgery. Its applications extend across diag...

[Study of the performances of conversational agents in interpreting textual description of lesions in pathology].

The applications of artificial intelligence (AI) in anatomical and cytological pathology (ACP) are growing, particularly in image analysis. Conversati...

Unveiling the fate of heavy metals along the soil-rice-human pathway: Source-sink quantification, rhizospheric processes, and health implications.

Rapid industrial and agricultural intensification is increasing multi-source heavy metals (HMs) inputs into farmland, escalating risks to soil-crop sy...

Application of copper based single-atom nanozymes in wound healing and tumor treatment.

Single-atom nanozymes (SANs) with transition metals as their core are nanomaterials characterized by atomically dispersed active sites and intrinsic e...

Identification of Risk Factors and Development of Machine Learning Prediction Models for Inpatient Calcium Pyrophosphate Deposition Disease Flares.

OBJECTIVE: The risk factors for inpatient calcium pyrophosphate deposition disease (CPPD) flares remain poorly defined. This study aimed to identify i...