Integrating multi-omics data with EHR for precision medicine using advanced artificial intelligence
With the recent advancement of novel biomedical technologies such as high-throughput
sequencing and wearable devices, multi-modal biomedical data ranging from multi-omics …
sequencing and wearable devices, multi-modal biomedical data ranging from multi-omics …
Artificial intelligence advances in transplant pathology
Transplant pathology plays a critical role in ensuring that transplanted organs function
properly and the immune systems of the recipients do not reject them. To improve outcomes …
properly and the immune systems of the recipients do not reject them. To improve outcomes …
Augmenting medical image classifiers with synthetic data from latent diffusion models
While hundreds of artificial intelligence (AI) algorithms are now approved or cleared by the
US Food and Drugs Administration (FDA), many studies have shown inconsistent …
US Food and Drugs Administration (FDA), many studies have shown inconsistent …
A Comparative Study and Systematic Analysis of XAI Models and their Applications in Healthcare
Artificial intelligence technologies such as machine learning and deep learning employ
techniques to anticipate results more effectively without human involvement. Since AI …
techniques to anticipate results more effectively without human involvement. Since AI …
Revolutionizing Cardiology through Artificial Intelligence—Big Data from Proactive Prevention to Precise Diagnostics and Cutting-Edge Treatment—A Comprehensive …
E Stamate, AI Piraianu, OR Ciobotaru, R Crassas… - Diagnostics, 2024 - mdpi.com
Background: Artificial intelligence (AI) can radically change almost every aspect of the
human experience. In the medical field, there are numerous applications of AI and …
human experience. In the medical field, there are numerous applications of AI and …
Choice over effort: Mapping and diagnosing augmented whole slide image datasets with training dynamics
In pediatric heart transplantation, manual annotations with interob-server and intraobserver
variability among cardiovascular pathology experts lead to significant disagreements about …
variability among cardiovascular pathology experts lead to significant disagreements about …
Rare Heart Transplant Rejection Classification Using Diffusion-Based Synthetic Image Augmentation
Heart Transplant Rejection (HTR) is a rare condition that requires early detection to prevent
lasting damage to the transplanted heart. Unfortunately, the current HTR grading through …
lasting damage to the transplanted heart. Unfortunately, the current HTR grading through …
Problematic aspects of medical artificial intelligence. Part 1
VA Berdutin, TE Romanova, SV Romanov… - Sociology of …, 2023 - rjsocmed.com
Problematic aspects of medical artificial intelligence. Part 1 - Berdutin - Sociology of Medicine
English Русский 简体中文 Eco-vector Sociology of Medicine ISSN 1728-2810 (Print) ISSN …
English Русский 简体中文 Eco-vector Sociology of Medicine ISSN 1728-2810 (Print) ISSN …
Assessing Risk Factors with Generative Adversarial Networks for Cardiac Arrest Detection
SK Gaur, D Preethi, M Abrol - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
This paper seeks to evaluate the performance of generative adverse networks (GANs) in
opposition to conventional strategies for predicting cardiac arrests. Via the usage of GANs …
opposition to conventional strategies for predicting cardiac arrests. Via the usage of GANs …
Mapping and Diagnosing Augmented Whole Slide Image Datasets with Training Dynamics
Pediatric heart transplantation represents the standard of care for children confronting end-
stage heart failure. One of the most common postoperative complications, heart transplant …
stage heart failure. One of the most common postoperative complications, heart transplant …