Laser Surgery

Minimally invasive pediatric urologic surgery.

Comparison of postural ergonomics between laparoscopic and robotic sacrocolpopexy: a pilot study.

STUDY OBJECTIVE: To compare resident, fellow, and attending urologic and gynecologic surgeons' musculoskeletal and mental strain during laparoscopic and robotic sacrocolpopexy.

Robotic-assisted thermal ablation of liver tumours.

OBJECTIVE: This study aimed to assess the technical success, radiation dose, safety and performance level of liver thermal ablation using a computed t...

Systematic Modality Ablation of Multimodal Machine Learning for Predicting 24-Month Progression from Mild Cognitive Impairment to Alzheimer's Disease

Multimodal biomarkers have transformed Alzheimer's disease research, but the incremental contribution of individual modalities to predicting progressi...

Do VLMs Share Safety Neurons Across Modalities?

Vision-language models (VLMs) can comply with harmful requests delivered through images, even when their LLM backbones would refuse the same content i...

CHIASM: A Self-Supervised Visual Field Encoder for Neuro-Ophthalmology

Background: Artificial intelligence (AI) systems for glaucoma diagnosis and prognostication from visual fields (VF) are under active development, yet ...

Detecting Self-Repairs from Spontaneous Speech with Prompt Ablation Across LLMs and Fine-Tuned Encoder

Self-repairs, in-utterance revisions in which a speaker abandons and reformulates their speech, are a promising interpretable marker for speech-based ...

Toward Vision Language Model-based Assessment of Clinical Quality and Usability of LGE-MR Images for Cardiac Ablation Planning

LGE cardiac MRI is widely used for left atrial fibrosis assessment and ablation planning in atrial fibrillation patients as knowledge of fibrotic tiss...

How to Demonstrate the Glucose Specificity of a Non-Invasive CGM: A Case Study of the SKAMo-2 Clinical Trial and Neogly™

Abstract Background: Every non-invasive continuous glucose monitoring (NI-CGM) technology introduced into the landscape faces the same skeptical quest...

A Dynamic-Semantics Framework for Grounding Human Referring Expressions in Visual Perceptual Data

Humans converge on shared names for novel, hard-to-describe objects through repeated interaction, a process psycholinguists call lexical entrainment. ...

A Domain-Structured Ensemble Framework for Perioperative Outcome Prediction Using Electronic Health Record Data

Perioperative risk prediction models are often limited by narrow surgical populations, incomplete intraoperative data, poor calibration, and limited i...

BioDeformUNet: A Deep Learning Model for Biomechanically Informed Liver Image Registration

Purpose: To build a 3D U-Net model, BioDeformUNet, to predict the deformation vector field (DVF) of the liver in near real-time, for efficient intra-p...

Automatic Patient-Specific Microwave Ablation Planning Accelerated by a Physics-Guided Deep Learning Model

Microwave ablation (MWA) is a promising minimally invasive treatment for liver tumors, but its therapeutic outcome strongly depends on patient-specifi...

Keyphrase Identification Using Minimal Labeled Data with Hierarchical Contexts and Transfer Learning

Background: Interoperable clinical decision support system (CDSS) rules provide a pathway to interoperability, a well-recognized challenge in health i...

What Makes Deep Learning Work for Traditional Chinese Medicine Tongue Diagnosis? A Comprehensive Ablation Study

Deep learning has shown promise for automated tongue diagnosis in traditional Chinese medicine (TCM), yet the design space remains underexplored. We c...

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation

Anterior eye segment (AES) segmentation is a key component of both ocular biometrics and emerging clinical image analysis applications. However, heter...

Are the High-weight Neurons the Important Ones in Image Classification Neural Networks?

As neural network models for image classification advance, neurons play critical roles in pruning, backdoor defense, and interpretability. Yet existin...

Patient-Level Risk Characterization of Drug-Associated Hidradenitis Suppurativa Using Machine Learning

Hidradenitis suppurativa (HS) is a chronic, debilitating, inflammatory skin disorder. Medications have been reported in association with cases of new-...

Color Fundus Photography Analysis: Co-evolution of Data, Preprocessing, and Modeling toward Multimodal AI

Color Fundus Photography (CFP) is a primary non-invasive imaging modality for large-scale screening of ophthalmic and systemic diseases. Existing surv...

Surgical Re-enactment for Operating Room Workflow Datasets

The introduction of new technologies, such as surgical robots, is driving the vision of a connected, smart operating room (OR). However, realizing thi...