Latest AI and machine learning research in refractive surgery for healthcare professionals.
A major characteristic of hemiplegic gait observed in individuals post-stroke is spatial and tempora...
No data are available on the learning curve in robotic distal pancreatectomy (RADP). The learning cu...
OBJECTIVES/HYPOTHESIS: To quantitatively measure volumetric changes in upper airway soft tissue stru...
Minimally invasive liver surgery is performed with increasing frequency by hepatic surgeons. Laparos...
INTRODUCTION: Robot-assisted surgery for the treatment of gastric cancer is considered to be safe an...
A novel robot-aided assist-as-needed gait training paradigm has been developed recently. This paradi...
Background As lockdown measures was eased, pregnant women faced an elevated risk of COVID-19 infecti...
We introduce JetViT, a novel family of hybrid-architecture Vision Transformer (ViT) models that matc...
With the rapid proliferation of generative models, such as diffusion models, digital watermarking ha...
Background: Stroke is a time-sensitive neurological emergency in which early EMS activation and pres...
Zero-Shot Compositional Image Retrieval (ZS-CIR) requires both preserving the visual continuity of t...
Importance: Abdominal pain causes roughly 10 million US emergency department (ED) visits annually, m...
Paired RGB-thermal data has shown significant utility across a range of applications, including imag...
Background: Catheter ablation is the most effective rhythm control strategy for atrial fibrillation ...
Introduction: Infectious and wound-healing complications after colorectal surgery often increase the...
Rapid and accurate situational awareness is essential for effective response during natural disaster...
ABSTRACT Background The clinical assessment of knee stability after an Anterior Cruciate Ligament (A...
Diffusion and flow-matching models scale because pretraining is supervised regression: a clean sampl...
Predictive models are often deployed through existing decision policies that stakeholders are reluct...
Background: People with Multiple Long-Term Conditions (MLTC) experience higher rates of organ failur...
Background: Integrating multimodal data into medical artificial intelligence (AI) tools and evaluati...