Latest AI and machine learning research in product alert for healthcare professionals.
UNLABELLED: Spinal tumors represent 15% of all central nervous system malignancies, with intramedull...
Deep neural networks have demonstrated remarkable performance across numerous learning tasks but oft...
This paper presents a Spiking Neural Network (SNN) processor specifically designed to overcome the l...
OBJECTIVE: Ultrasound shear strain is a potential biomarker of myofascial dysfunction. However, the ...
This study assessed the acceptability of CITOBOT, a device for early cervical cancer screening in a ...
Post-traumatic stress disorder (PTSD) is a delayed-onset or prolonged persistent psychiatric disorde...
Artificial Intelligence (AI) offers a revolutionary approach to improve decision-making in medicine ...
Vaccination has long been recognized as the most effective means for disease prevention, yet concern...
PURPOSE: We conducted a prospective study to evaluate the usefulness of ultralow-dose computed tomog...
Secure healthcare information exchange (HIE) is critical to improving medical services, enabling dat...
BACKGROUND: Current medicine cannot confidently predict who will recover from post-stroke impairment...
Skull damage caused by craniectomy or trauma necessitates accurate and precise Patient-Specific Impl...
Artificial intelligence is rapidly transforming healthcare, offering promising advancements in diagn...
OBJECTIVE: Hysteroscopy is commonly used for diagnosing benign endometrial conditions, but its diagn...
This study presents a non-invasive approach to monitoring post-harvest fruit quality by applying CO ...
The data article presents the "Image Database for Earthquake damage Annotation (IDEA)", an extended ...
Obstructive sleep apnea (OSA) may impact outcomes in acute coronary syndrome (ACS) patients. The Glo...
PURPOSE: To establish prediction models using Shapley Additive exPlanations (SHAP) and multiple mach...
OBJECTIVES/BACKGROUND: Post-traumatic headache (PTH) is a common symptom following mild traumatic br...
OBJECTIVE: This study aimed to develop and validate a machine learning-based model for predicting sy...
Self-interpreting neural networks have attracted significant attention from the research community. ...