Latest AI and machine learning research in medicaid for healthcare professionals.
ICU readmissions are associated with poor outcomes for patients and poor performance of hospitals. P...
Improper municipal solid waste (MSW) management contributes to greenhouse gas emissions, necessitati...
The objective of this study was to evaluate the effect of low pneumoperitoneum pressure (Pnp) on ren...
In recent years, adynamic bone disease (ABD) has become a common skeletal lesion in adult patients w...
BACKGROUND: This study aimed to develop and validate radiomics and deep learning (DL) signatures for...
BACKGROUND: Genetic mosaicism is commonly observed in human blastocysts. Embryos' morphokinetic feat...
AIM: To compare images using reduced CM, low-kVp scanning and DLR reconstruction with conventional i...
In this study, we propose an augmentation method for machine learning based on relabeling data in ca...
To evaluate diagnostic efficacy of deep learning (DL)-based automated bone mineral density (BMD) mea...
Design of new drugs is a challenging process: a candidate molecule should satisfy multiple condition...
BACKGROUND: There are no early, accurate, scalable methods for identifying infants at high risk of p...
INTRODUCTION: Low back pain (LBP) is associated with altered somatosensory perception, which is invo...
BACKGROUND: The Centers for Medicare & Medicaid Services currently incentivizes hospitals to reduce ...
Radiomics is an emerging approach to support the diagnosis of pulmonary nodules detected via low-dos...
Spiking neural networks (SNNs) are considered an attractive option for edge-side applications due to...
BACKGROUND: Infliximab (IFX) use is limited by loss of response often due to the development of anti...
This work involves exploring non-invasive sensor technologies for data collection and preprocessing,...
The 12-lead electrocardiogram (ECG) is the most common front-line diagnosis tool for assessing cardi...
The cyclin-dependent kinase inhibitor 1B (CDKN1B) gene, which encodes the p27Kip1 protein, is import...
Low-cost optical imaging technologies have the potential to reduce inequalities in healthcare by imp...
Label-free electrochemical biosensors have many desirable characteristics in terms of miniaturizatio...