Medicolegal

VADEr: Vision Transformer-Inspired Framework for Polygenic Risk Reveals Underlying Genetic Heterogeneity in Prostate Cancer.

Polygenic risk scores (PRSs) serve as quantitative metrics of genetic liability for various conditions. Traditionally calculated as an effect size weighted genotype summation, this formulation assumes conditional feature independence and overlooks the potential for complex interactions among genetic variants. Transformers, a class of deep learning architectures known for capturing dependencies bet...

Bioinformatic Analysis of Complex In Vitro Fertilization Data and Predictive Model Design Based on Machine Learning: The Age Paradox in Reproductive Health.

Since its inception in 1987, in vitro fertilization (IVF) has constituted a significant medical achievement in the field of fertility treatment, offering a viable solution to the challenge of infertility. The continuous evolution of assisted reproductive technology (ART) has brought its relationship with the rapidly developing field of artificial intelligence (AI), in particular with techniques su...

Automated generation of discharge summaries: leveraging large language models with clinical data.

This study explores the use of open-source large language models (LLMs) to automate generation of German discharge summaries from structured clinical ...

Ultrasensitive Profiling of Plasma Extracellular Vesicles for Breast Cancer Subtyping with a High-Curvature Antifouling Nanoarray.

Profiling of plasma extracellular vesicles (EVs) has long been hampered by their insufficient capture and assay sensitivity due to the high background...

Forensic odontology: a comprehensive review of advances and applications in dental forensic medicine.

Forensic odontology is essential in medico-legal investigations, aiding in the identification of individuals, particularly in cases involving decompos...

Advances in the application of 18F-sodium fluoride PET in the assessment of atherosclerosis.

Atherosclerosis serves as the primary cause of cardiovascular diseases (CVDs), with its pathological processes encompassing lipid deposition, inflamma...

Reconfigurable All-Nitride Magneto-Ionics.

The rapid advancement of generative artificial intelligence has significantly increased the demand for both energy and data storage. Magneto-ionics, w...

Radiocaesium soil-to-plant transfer: a meta-analysis of key variables and data gaps on a global scale.

A harmonized, publicly accessible database of worldwide observations and experiments on radiocaesium transfer from soil to plants is lacking. Such a d...

Automating Evaluation of AI Text Generation in Healthcare with a Large Language Model (LLM)-as-a-Judge.

Electronic Health Records (EHRs) store vast amounts of clinical information that are difficult for healthcare providers to summarize and synthesize re...

Artificial Intelligence Performs Well for Patient-Level Education of Benign Anorectal Conditions.

BackgroundChatGPT, the most widely recognized AI chatbot, has been increasingly utilized by patients for health care education, but its performance an...

Unraveling four decades of soil acidification on the Qinghai-Tibetan Plateau: Patterns, drivers, and future projections.

Soil acidification poses escalating threats to ecosystem functions, yet its spatiotemporal dynamics and drivers across vulnerable high-altitude region...

Van der Waals Epitaxy of 2D Gallium Telluride on Graphene: Growth Dynamics and Principal Component Analysis.

A scalable epitaxy of 2D layered materials and heterostructures constitutes a crucial step in developing novel optoelectronic applications based on hi...

Assessing the Content of Goals of Care Documentation for Hospitalized Patients With Alzheimer's Disease and Related Dementias.

BACKGROUND: Goals of care (GOC) conversations are an evidence-based practice that help clarify and align patient values and preferences for medical ca...

A Novel Natural Language Processing Model for Triaging Head and Neck Patient Appointments.

OBJECTIVE: Inaccurate patient triage contributes to suboptimal clinical capacity management and delays in patient care, which in cancer patients may s...

A machine learning toolkit assisted approach for IMRT fluence map optimization: feasibility and advantages.

. Traditional machine learning (ML) and deep learning (DL) applications in treatment planning rely on complex model architectures and large, high-qual...

Artificial intelligence based assessment of clinical reasoning documentation: an observational study of the impact of the clinical learning environment on resident documentation quality.

BACKGROUND: Objective measures and large datasets are needed to determine aspects of the Clinical Learning Environment (CLE) impacting the essential s...

Construction of a deep learning model and identification of the pivotal characteristics of FGF7- and MGST1- positive fibroblasts in heart failure post-myocardial infarction.

Dysregulation of fibroblast function is closely associated with the occurrence of heart failure after myocardial infarction (post-MI HF). Myocardial f...

[Artificial intelligence and civil liability in cancerology: The breast cancer example].

For some years now, artificial intelligence has been investing in the field of healthcare, in both technical and clinical disciplines. While this tech...

Value of Artificial Intelligence for Enhancing Suspicion of Cardiac Amyloidosis Using Electrocardiography and Echocardiography: A Narrative Review.

Nonspecific symptoms and other diagnostic challenges lead to underdiagnosis of cardiac amyloidosis (CA). Artificial intelligence (AI) could help addre...

Janus nanocellulose composite films with superior electromagnetic interference shielding and dual-thermal management.

Constructing multifunctional conductive composite films with excellent electromagnetic interference (EMI) shielding properties, Joule heating and sola...