Latest AI and machine learning research in medicare for healthcare professionals.
Phosphoproteomics integrating data-independent acquisition (DIA) enables deep phosphoproteome profil...
Although numerous road segmentation studies have utilized vision data, obtaining robust classificati...
Since 2017, we have used IonTorrent NGS platform in our hospital to diagnose and treat cancer. Analy...
IMPORTANCE: Detecting cognitive decline earlier among older adults can facilitate enrollment in clin...
Continuity of care is achieved in the neonatal intensive care unit (NICU) through careful documentat...
Force-field development has undergone a revolution in the past decade with the proliferation of quan...
Long-read sequencing enables variant detection in genomic regions that are considered difficult-to-m...
The vast majority of approved drugs are metabolized by the five major cytochrome P450 (CYP) isozymes...
Machine learning and artificial intelligence (AI) have arrived in medicine and the healthcare commun...
OBJECTIVES: Biomedical natural language processing tools are increasingly being applied for broad-co...
The use of artificial intelligence (AI) in healthcare comes with opportunities but also numerous cha...
Area coverage is a crucial factor for a robot intended for applications such as floor cleaning, disi...
Studies of structural connectivity at the synaptic level show that in synaptic connections of the ce...
False-ceiling inspection is a critical factor in pest-control management within a built infrastructu...
Inspired by wide and elongated fins of aquatic species, robotic undulatory propulsors are developed ...
INTRODUCTION: Quantitative Susceptibility Mapping (QSM) is generally acquired with full brain covera...
Unlike parametric regression, machine learning (ML) methods do not generally require precise knowled...
INTRODUCTION: Computer-assisted surgery (CAS) is a broad surgical methodology that utilizes computer...
Big data has brought a new round of information revolution. Faced with the goal of full coverage of ...
Methods for estimating heterogeneous treatment effect in observational data have largely focused on ...
Magnetic resonance fingerprinting (MRF) is a quantitative MRI (qMRI) framework that provides simulta...