Transplantation

A multimetric health literacy analysis of phalloplasty techniques: Comparing artificial intelligence and online resources.

BACKGROUND: This study aims to compare the informational quality of online and artificial intelligen...

Machine learning methods to identify risk factors for corneal graft rejection in keratoconus.

Machine learning can be used to identify risk factors associated with graft rejection after corneal ...

Differential impact of CD34+ cell dose for different age groups in allogeneic hematopoietic cell transplantation for acute leukemia: a machine learning-based discovery.

Allogeneic hematopoietic cell transplantation (allo-HCT) presents a potentially curative treatment f...

Generalizability of lesion detection and segmentation when ScaleNAS is trained on a large multi-organ dataset and validated in the liver.

BACKGROUND: Tumor assessment through imaging is crucial for diagnosing and treating cancer. Lesions ...

Dynamic Tracking and Real-Time Fall Detection Based on Intelligent Image Analysis with Convolutional Neural Network.

As many countries face rapid population aging, the supply of manpower for caregiving falls far short...

Robust diabetic prediction using ensemble machine learning models with synthetic minority over-sampling technique.

This paper addresses the pressing issue of diabetes, which is a widespread condition affecting a hug...

An improved trajectory tracking control of quadcopter using a novel Sliding Mode Control with Fuzzy PID Surface.

This paper presents Super Twisting Sliding Mode Control with a novel Fuzzy PID Surface for improved ...

Predictive modeling of outcomes in acute leukemia patients undergoing allogeneic hematopoietic stem cell transplantation using machine learning techniques.

BACKGROUND: Leukemia necessitates continuous research for effective therapeutic techniques. Acute le...

Optimizing early diagnosis by integrating multiple classifiers for predicting brain stroke and critical diseases.

Machine learning has gained attention in the medical field. Continuous efforts are being made to dev...

An interactive AI-driven platform for fish age reading.

Fish age is an important biological variable required as part of routine stock assessment and analys...

Identification and validation of biomarkers related to mitochondria during ex vivo lung perfusion for lung transplants based on machine learning algorithm.

BACKGROUND: Ex vivo lung perfusion (EVLP) is a critical strategy to rehabilitate marginal donor lung...

Deep learning-based models for preimplantation mouse and human embryos based on single-cell RNA sequencing.

The rapid growth of single-cell transcriptomic technology has produced an increasing number of datas...

Recovering Permuted Sequential Features for effective Reinforcement Learning.

When applying Reinforcement Learning (RL) to the real-world visual tasks, two major challenges neces...

Water-Stable Magnetic Lipiodol Micro-Droplets as a Miniaturized Robotic Tool for Drug Delivery.

Magnetic microrobots, designed to navigate the complex environments of the human body, show promise ...

Exploring machine learning algorithms in sickle cell disease patient data: A systematic review.

This systematic review explores the application of machine learning (ML) algorithms in sickle cell d...

Testing process for artificial intelligence applications in radiology practice.

Artificial intelligence (AI) applications are becoming increasingly common in radiology. However, en...

Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney.

Automated blood vessel segmentation is critical for biomedical image analysis, as vessel morphology ...

Automated real-world data integration improves cancer outcome prediction.

The digitization of health records and growing availability of tumour DNA sequencing provide an oppo...

AI for biofabrication.

Biofabrication is an advanced technology that holds great promise for constructing highly biomimetic...

[Pathology of transplanted heart rejection using artificial intelligence-based image analysis of endomyocardial biopsies].

Predicting the risk of pulmonary infection after kidney transplantation using machine learning methods: a retrospective cohort study.

PURPOSE: Pulmonary infection is the most common and serious complication after kidney transplantatio...