Latest AI and machine learning research in product alert for healthcare professionals.
Artificial intelligence (AI) and machine learning medical tools have the potential to be transformat...
BACKGROUND: Stereotactic body radiation therapy (SBRT) produces excellent local control for patients...
Frequent cortical arousal is associated with cardiovascular dysfunction among people with sleep-diso...
In patients with acute pulmonary embolism (PE), timely intervention (e.g., initiation of anticoagul...
INTRODUCTION: The plate objective scoring tool (POST) was recently introduced as a reproducible and ...
Data drift refers to differences between the data used in training a machine learning (ML) model and...
We present a deep-learning-based platform, MIND-S, for protein post-translational modification (PTM)...
Multiplex detection of protein post-translational modifications (PTMs), especially at point-of-care,...
Machine learning-based protein structure prediction algorithms, such as RosettaFold and AlphaFold2, ...
Non-invasive methods to document healing anterior cruciate ligament (ACL) structural properties coul...
Post-induction hypotension is common and associated with postoperative complications. We hypothesise...
Identifying the cerebral arterial branches is essential for undertaking a computational approach to ...
To improve the algorithmic dimension, critical thinking, and problem-solving ability of computationa...
In order to treat degenerative diseases, the importance of advanced therapy medicinal products has i...
To evaluate the performance of machine learning (ML) models and to compare it with logistic regressi...
Accurate methods to predict solubility from molecular structure are highly sought after in the chemi...
. In 2019, the University of Florida College of Medicine launched thealgorithm to predict eight majo...
Simple prostatectomy is indicated in patients with enlarged glands (>80 ) who present with lower ur...
It is challenging to diagnose drowning in autopsy even with the help of post-mortem multi-slice comp...
Medical experts may use Artificial Intelligence (AI) systems with greater trust if these are support...
Tumor burden assessment by magnetic resonance imaging (MRI) is central to the evaluation of treatmen...