Latest AI and machine learning research in surgery for healthcare professionals.
The present data descriptor presents a dataset designed for the detection of plant species in various habitats of the European Union. This dataset is based on images captured using multiple different hardware including quadrupedal robot ANYmal C, referring to ecologically important species to assess the presence and conservation status in Annex I habitats 2110, 2120, 6210*, 8110, 8120, and 9210*. ...
BACKGROUND: A severe spinal cord injury (SCI) can profoundly affect an individual's physical abilities and social independence. For individuals living with tetraplegia, an assistive robotic arm offers the potential to restore some autonomy and reduce the need for constant assistance. However, current assistive technologies are often costly, impractical, and fail to meet the needs of those affected...
Respiratory viral infections pose a global health burden, yet the cellular immune responses driving protection or pathology remain unclear. Natural ...
Surgical phase recognition from video is a technology that automatically classifies the progress of a surgical procedure and has a wide range of pot...
Vision-Language-Action (VLA) models have recently advanced robotic manipulation by translating natural-language instructions and image information i...
The integration of Reinforcement Learning (RL) into robotic-assisted surgery (RAS) holds significant promise for advancing surgical precision, adapt...
Learning manipulation skills from human demonstration videos offers a promising path toward generalizable and interpretable robotic intelligence-par...
By helping the neurosurgeon create treatment strategies that increase the survival rate, automotive diagnosis and CT (Computed Tomography) hemorrhage ...
We present a novel kernel-based method for learning multivariate stochastic differential equations (SDEs). The method follows a two-step procedure: ...
As robots for minimally invasive surgery (MIS) gradually become more accessible and modular, we believe there is a great opportunity to rethink and ...
Minimally invasive surgery (MIS) presents significant visual and technical challenges, including surgical instrument classification and understandin...
Predatory pursuit behavior involves a series of important physiological processes, such as locomotion, learning, and decision-making that are critical...
Research on autonomous robotic surgery has largely focused on simple task automation in controlled environments. However, real-world surgical applic...
Laparoscopic surgery for endometriosis presents unique challenges due to the complexity of and variability in lesion appearances within the abdominal...
The transcription factor SOX9 plays a critical role in various diseases, including hepatocellular carcinoma (HCC), and has been implicated in resista...
This manuscript examines the role of artificial intelligence (AI) in the diagnosis and treatment of uterine fibroids and uterine sarcomas, offering a ...
Diabetes mellitus (DM) is a chronic metabolic disorder that poses significant challenges to public health. Among its various complications, diabetic n...
Robotic imitation learning has advanced from solving static tasks to addressing dynamic interaction scenarios, but testing and evaluation remain cos...
Ultrasound-guided fine needle aspiration (FNA) biopsy is a common minimally invasive diagnostic procedure. However, an aspiration needle tracker add...
Recent studies have proved that imitation learning shows strong potential in the field of robotic manipulation. However, existing methods still stru...