Transplantation

Bioethical challenges in the integration of artificial intelligence in transplant surgery 4.0: A scoping review.

INTRODUCTION: The integration of artificial intelligence (AI) into transplant surgery offers potential benefits, including enhanced precision and personalized patient care. However, these advancements raise critical ethical issues that must be addressed to ensure responsible implementation. This scoping review and bibliometric analysis explore the literature on the ethical considerations associate...

Born to Fear the Machine? Genetic and Environmental Influences on Negative Attitudes toward AI Agents.

Despite the rapid development of artificial intelligence (AI) agents, substantial individual differences in public acceptance persist. To explain the difference in attitudes toward AI agents, existing research has primarily focused on environmental factors. However, evolutionary psychology research suggests that the mechanism of outgroup rejection has a genetic basis, highlighting the need to expl...

AI in Medical Questionnaires: Innovations, Diagnosis, and Implications.

This systematic review aimed to explore the current applications, potential benefits, and issues of artificial intelligence (AI) in medical questionna...

Invited Response to "Artificial Intelligence in Rhinoplasty: Precision or Over-Reliance?".

The integration of artificial intelligence (AI) into surgical practice demands critical reflection-not only on its capabilities, but also on its appro...

A model developed by machine learning and principal component analysis for predicting bronchiolitis obliterans syndrome after allogeneic HSCT in a Chinese population with hematologic malignancies.

Bronchiolitis obliterans syndrome (BOS) is a severe pulmonary complication following allogeneic hematopoietic stem cell transplantation (allo-HSCT), w...

Prediction of biological evolution following blood product transfusion during liver transplantation: the contribution of machine learning to decision-making.

OBJECTIVES: Liver transplantation is a complex procedure frequently requiring transfusion of blood products to manage coagulopathy and haemorrhage. Th...

Non-invasive Assessment of Urinary Exfoliated Proximal Tubule Cell Multispectral Autofluorescence May Differentiate Between Causes of Kidney Transplant Dysfunction.

BACKGROUND: Complications relating to delayed or deteriorating graft function following kidney transplantation are common. There is no validated metho...

Droplet microfluidics integrated with machine learning reveals how adipose-derived stem cells modulate endocrine response and tumor heterogeneity in ER breast cancer.

Approximately 70% of breast cancer (BC) diagnoses are estrogen receptor positive (ER) with ∼40% of ER BC patients presenting resistance to endocrine ...

An In-depth overview of artificial intelligence (AI) tool utilization across diverse phases of organ transplantation.

Artificial Intelligence (AI) offers a revolutionary approach to improve decision-making in medicine through the use of advanced computational tools. I...

Unsupervised Machine Learning-Based Process Analytical Tools for Near Real-Time Cell Morphology Analysis During CAR-T Cell Manufacturing.

Cell therapies like Chimeric Antigen Receptor (CAR)-T cell therapy deliver living cells to patients as active pharmaceutical ingredients. Manufacturin...

Measurement, Characterization, and Mapping of COVID-19 Misinformation in Spain: Cross-Sectional Study.

BACKGROUND: The COVID-19 pandemic has been accompanied by an unprecedented infodemic characterized by the widespread dissemination of misinformation. ...

Prediction of Vertical Excitation and Emission Energies for Optoelectronic Molecules: An Automated Workflow Combining High-Throughput Computations and Machine Learning.

Organic optoelectronic materials with localized or delocalized excitation features are widely used in various optoelectronic devices. A data-driven au...

The role of tumor microenvironment and immune cell crosstalk in triple-negative breast cancer (TNBC): Emerging therapeutic opportunities.

Triple-negative breast cancer (TNBC) is an aggressive subtype characterized by its lack of estrogen, progesterone, and HER2 receptors, leading to limi...

Integrating explainable machine learning and transcriptomics data reveals cell-type specific immune signatures underlying macular degeneration.

Genome-wide association studies (GWAS) have established key role of immune dysfunction in Age-related Macular Degeneration (AMD), though the precise r...

Qualitative evaluation of automatic liver segmentation in computed tomography images for clinical use in radiation therapy.

PURPOSE: Segmentation of target volumes and organs at risk on computed tomography (CT) images constitutes an important step in the radiotherapy workfl...

Machine learning using serial changes in proteinuria during initial steroid therapy to predict treatment response and immunosuppressant use in pediatric idiopathic nephrotic syndrome.

BACKGROUND: Epidemiological studies on idiopathic nephrotic syndrome (INS) in children have identified no definitive factors predicting steroid-resist...

Interpretable prediction of aggregation-induced emission molecules based on graph neural networks.

We developed an interpretable graph neural network (96.4% accuracy) for AIEgen identification, revealing 24 characteristic functional groups. Based on...

Sepsis criteria and kidney function: eliminating sex, age and economic status biases.

The kidney is a target organ for the dysregulated host response to infection that defines sepsis, and acute kidney injury (AKI) is often an early mani...

Artificial Intelligence Quantitation of Steatosis on Frozen Section Preimplant Slides Correlates with Some Liver Transplant Outcomes.

Introduction.Increased steatosis on preimplant liver frozen section is associated with delayed graft function and primary nonfunction. Efforts to stan...

A lipid atlas of the human kidney.

Tissue atlases provide foundational knowledge on the cellular organization and molecular distributions across molecular classes and spatial scales. He...