Medicolegal

Brain PET in the era of anti-amyloid-β antibody therapy for Alzheimer disease.

Here the current and emerging roles of brain positron emission tomography (PET) in Alzheimer's disea...

Nurses' Lived Experiences of Generative Artificial Intelligence-Enabled Shift Handover Innovation: A Descriptive Phenomenological Study.

AIM: To explore nurses' lived experiences of a generative artificial intelligence-enabled shift hand...

Transferability of a US claims-based machine learning model for ATTRwt-CM identification: a retrospective evaluation in a German setting.

Cardiac amyloidosis (CA), a fatal and progressive cardiomyopathy is characterized by amyloid deposit...

[Participatory processes in the development of AI systems in a clinical context: A qualitative secondary analysis].

Participatory processes in the development of AI systems in a clinical context: A qualitative second...

Dysfunction of the neurovascular unit as a temporal driver in Alzheimer's pathogenesis.

Extensive studies have shown that cerebrovascular dysfunction is a critical factor in the onset and ...

Bayesian-regularized neural network analysis of heat and mass transmission in CMC and water hybrid nanofluid with local thermal non equilibrium conditions.

The influences of Marangoni convection and local thermal non-equilibrium effects on CuO-TiO₂/CMC (Ca...

FDA-authorized oncology artificial intelligence and machine learning devices and their clinical evidence: A cross-sectional analysis.

BACKGROUND: Artificial intelligence (AI) and machine learning (ML) tools are increasingly embedded i...

Nanomaterials reshaping cancer radiotherapy: Radiosensitization mechanisms, delivery and theranostic platforms, multimodal synergy, and clinical translation strategies.

Radiotherapy (RT) remains a cornerstone of cancer management but is fundamentally constrained by nor...

Structurally robust quaterphenyl-dicarbonitrile 2D MOF nanopores on Cu(111) for cobalt spin-coordination motifs.

We demonstrate a strategy for fabricating robust ∼2 nm nanopores on copper (Cu) surfaces using a non...

Scalable fabrication of gas sensors via spark-ablation printing of semiconductive metal oxide nanoparticles and heterostructures.

Semiconductive metal oxide (SMO) gas sensors are extensively used in air monitoring, industrial safe...

Physics-informed deep learning for rapid marine radionuclide dispersion forecasting in nuclear emergency response.

In the event of a severe nuclear accident at a coastal nuclear power plant, the rapid and accurate a...

Addressing diagnostic code variability in intimate partner violence surveillance through natural language processing: Evidence from substance use disorder populations.

BACKGROUND: Intimate partner violence (IPV) and substance use disorders (SUDs) represent major publi...

Natural Language Processing for Surgical Quality Enhancement.

INTRODUCTION: Unstructured clinical data, including operative reports and progress notes, contain cr...

Degradable biophotonic scaffolds of mesoporous graphene for regenerating neural pathways.

Mesoporous graphene frameworks (MGFs) were synthesized as p-type semiconductors with a nonzero band ...

Molecular modelling-driven formulation design for targeted pulmonary drug delivery.

Molecular modelling an impactful and trending approach for rational design of pulmonary drug deliver...

Independent bone-level diagnostic accuracy study of an AI tool for detecting appendicular skeletal fractures on radiographs.

OBJECTIVES: To perform an in-depth evaluation of the diagnostic test accuracy of a commercially avai...

Rapid Evaluation of Artificial Intelligence Technology Used for Ambient Dictation in Primary Care: Comparing the Quality of Documentation of Artificial Intelligence-Generated and Human-Produced Clinical Notes.

BACKGROUND: Ambient artificial intelligence (AI) scribes can reduce the burden of administrative doc...

Quality of Clinical Notes Created by Ambient Listening Generative AI: Pragmatic Prospective Pilot Study.

BACKGROUND: Physicians routinely document specifics of patient encounters in clinic visit notes, a c...

mdxplain: Scalable Molecular Dynamics Analysis with Machine Learning-Based Feature Selection and Modular Workflows.

Molecular dynamics (MD) simulations provide detailed, time-resolved insight into molecular motion. A...

Minimizing Medical Malpractice Risk for Radiologists Using Artificial Intelligence.

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