Latest AI and machine learning research in stem cell research for healthcare professionals.
Recent advances in artificial intelligence (AI) are creating new opportunities for personalizing tec...
Physical therapy efficacy relies on patient compliance and motivation. However, the monotony, intens...
Image registration represents one of the fundamental techniques in medical imaging and image-guided ...
We present a new LSTM (P-LSTM: Progressive LSTM) network, aiming to predict morphology and states of...
Medical artificial intelligence is a deeply integrated field of production-university-research. The ...
PURPOSE: To identify optimal machine learning methods for radiomics-based differentiation of local r...
PURPOSE: Electronic health records (EHRs) are created primarily for nonresearch purposes; thus, the ...
Artificial intelligence-driven anesthesiology and perioperative care may just be around the corner. ...
A 71-year-old man with gross hematuria and urinary retention showed a 7×8 cm polycystic mass compres...
OBJECTIVE: To develop a predictive model of neurocognitive trajectories in children with perinatal H...
Artificial intelligence is advancing rapidly and making its way into all areas of our lives. This re...
INTRODUCTION: Real-time electronic adherence monitoring (EAM) systems could inform on-going risk ass...
As the efficacy of artificial intelligence (AI) in improving aspects of healthcare delivery is incre...
Increases in the number of cell therapies in the preclinical and clinical phases have prompted the n...
BACKGROUND: Adipose-derived mesenchymal stem cells (ADSCs) have emerged as a promising modality for ...
PURPOSE: To develop and evaluate an automatic intensity-modulated radiation therapy (IMRT) program f...
Socially assistive robots have the potential to improve aged care by providing assistance through so...