Medicolegal

Multi criteria optimization of FDM process parameters for NylonAF80 filaments using CRITIC CoCoSo and machine learning approaches.

This study aimed to optimize the fused deposition modeling (FDM) process parameters for an 8% aramid fiber-reinforced polyamide filament (NylonAF80) to enhance the quality of printed parts. Six parameters were varied: the slice height, nozzle temperature, bed temperature, deposition speed, raster orientation, and build orientation. Cuboid samples with a central circular hole were printed using Tag...

Disabilities and Generative Artificial Intelligence Education in Rheumatology Fellowship: Educational Module and Simulation Exercise.

OBJECTIVE: People with rheumatic and musculoskeletal diseases (RMDs) can acquire disabilities that affect their participation in work and school. Generative artificial intelligence (genAI) may reduce documentation time, providing a tool for providers to efficiently write letters for accommodation and maximally advocate for people with disabilities. Therefore, fellows-in-training (FITs) must develo...

Benchmarking spectroscopic-chemometric models for human bloodstain time since deposition in tropical outdoor microenvironments.

Reliable estimation of the time since deposition (TSD) of bloodstains remains a key challenge in forensic reconstruction, particularly under realistic...

Enhancing the efficacy of Salvia miltiorrhiza and Ligusticum chuanxiong in the treatment of coronary heart disease: The value of poorly soluble components and nanocrystal self-stabilized solid emulsions.

BACKGROUND: The Salvia miltiorrhiza-Ligusticum chuanxiong herb pair is a classic combination in traditional Chinese medicine (TCM) formulation for cor...

Artificial intelligence in emergency musculoskeletal imaging: A critical review of current applications.

Artificial intelligence (AI) is increasingly shaping emergency musculoskeletal imaging, where rapid and accurate diagnosis is often challenged by high...

Sustainable All-Inorganic Double Perovskite Memristors Enabling Synaptic Learning and Cognitive Emulation.

Lead-free halide perovskites are emerging as sustainable alternatives for next-generation electronic and neuromorphic technologies. In this work, we p...

Salvianolic acid C attenuates liver fibrosis and inhibites hepatic stellate cell activation by targeting FAP/TβRI/SMAD axis.

BACKGROUND: Liver fibrosis remains a major clinical challenge with limited effective therapeutic options. Salvianolic acid C (SAC), a major water-solu...

Integrative metabolomics and machine learning reveal the toxic mechanisms of elaidic acid in polycystic ovary syndrome.

BACKGROUND: Polycystic ovary syndrome (PCOS) is characterized by reproductive dysfunction and metabolic disturbances, including obesity, insulin resis...

[Not Available].

BACKGROUND AND AIM: Over recent decades, formal requirements for medical records have been strengthened, for example through patients' rights of acces...

A novel approach to mural enhancement using MSR CAB and lacuna extraction from ancient mural paintings using random forest.

Ancient mural paintings, such as those in Bey's Palace, Algeria, are vulnerable to deterioration from environmental and human factors, with lacunae ar...

Active learning in pharmaceutical 3D printing: a multi-dataset comparison.

Machine learning (ML) is expected to accelerate the developments of three-dimensional (3D) printed medicines. Despite ML's potential, the need for lar...

Ethical and legal challenges of integrating artificial intelligence into paediatric surgery.

INTRODUCTION: Artificial intelligence (AI) technologies are increasingly being trialled with applications spanning imaging, robotic assistance and ear...

Rapid response teams for new leaders: a narrative review of global evidence and implementation strategies with a focus on Japan.

BACKGROUND: Rapid response systems (RRSs) are designed to detect and treat physiological deterioration before cardiac arrest occurs. Since 2020, Japan...

Intermediates of forming transition metal dichalcogenide heterostructures revealed by machine learning simulations.

Two-dimensional (2D) transition metal dichalcogenide (TMD) van der Waals heterostructures (vdWHs) hold promise for high-performance electronics, but t...

Integrating scRNA-seq and snRNA-seq with spatial transcriptomics to unlock the xylem puzzle.

BACKGROUND: Xylem development is a dynamic, continuous process fundamental to secondary growth in woody plants and to biomass accumulation on earth. W...

AI Won't Save Us…Yet: Reimagining AI's Potential to Prioritize People.

In every breathless conversation about artificial intelligence (AI), this technology has been heralded as a revolutionary force that will save healthc...

The AI Act and the MDR post-market requirements for semiautonomous AI SaMD: a radiology case study in prostate cancer.

PURPOSE: To clarify overlapping post-market obligations under the EU Artificial Intelligence Act (AIA) and EU Medical Device Regulation (MDR) for high...

Human in the loop artificial intelligence in healthcare: applications, outcomes, and implementation challenges.

BACKGROUND: The integration of artificial intelligence in healthcare has transformed clinical practice and research methodologies. However, concerns r...

Generative AI in preanesthetic consultations: Effects on efficiency, documentation workload, quality, and physician-patient interaction: A simulation trial.

BACKGROUND: Clinicians spend over 30% of their workday on electronic health records, reducing patient interaction and contributing to burnout. Preanes...

Predicting cardiopulmonary exercise testing outcomes in congenital heart disease through multimodal data integration and geometric learning.

Cardiopulmonary exercise testing (CPET) provides a comprehensive assessment of functional capacity by measuring key physiological variables including ...