Surgery

StarVasc: hyper-dimensional and spectral feature expansion for lightweight vascular enhancement.

Vascular contrast enhancement is crucial for early disease diagnosis and surgical precision in robot...

Artificial intelligence with feature fusion empowered enhanced brain stroke detection and classification for disabled persons using biomedical images.

Brain stroke is an illness which affects almost every age group, particularly people over 65. There ...

Reframing robotics in Mohs surgery for rare cutaneous sarcomas: conceptual promise and clinical realities in precision oncology.

Dermatofibrosarcoma protuberans (DFSP) is a rare, locally aggressive cutaneous sarcoma in which achi...

Pediatric surgical trainees and artificial intelligence: a comparative analysis of DeepSeek, Copilot, Google Bard and pediatric surgeons' performance on the European Pediatric Surgical In-Training Examinations (EPSITE).

OBJECTIVE: Large language models (LLMs) have advanced rapidly, but their utility in pediatric surger...

Impact of massive open online courses in higher education using machine learning and decision based fuzzy frank power aggregation operators models.

Massive open online courses (MOOCs) have transformed higher education by providing widespread access...

Automatic surgical skill assessment using a task classification model in laparoscopic sigmoidectomy.

BACKGROUND: In surgery, the dissection-exposure time ratio indicates surgery efficiency and relates ...

Intraoperative navigation system for liver resection based on edge-AI and multimodal AI.

BACKGROUND: Traditional intraoperative navigation methods show insufficient adaptability in dynamic ...

Improvements from incorporating machine learning algorithms into near real-time operational post-processing.

During regional seismic monitoring, data is automatically analyzed in real-time to identify events a...

Advancing perioperative precision: implementation pathways for machine learning predictions in obstetric analgesia.

Renji endoscopic submucosal dissection video data set for colorectal neoplastic lesions.

Artificial intelligence advancements have significantly enhanced computer-aided intervention, learni...

Artificial Intelligence-Augmented Human Instruction and Surgical Simulation Performance: A Randomized Clinical Trial.

IMPORTANCE: How the Intelligent Continuous Expertise Monitoring System, an artificial intelligence t...

Can AI grade like a professor? comparing artificial intelligence and faculty scoring of medical student short-answer clinical reasoning exams.

Many medical schools primarily use multiple-choice questions (MCQs) in pre-clinical assessments due ...

Artificial intelligence and digital health in vascular surgery: a 2-decade bibliometric analysis of research landscapes and evolving frontiers.

To analyze the structural and temporal evolution of artificial intelligence (AI) and digital health ...

Synthetic Data Generated by Artificial Intelligence to Optimize Surgical Trial Design.

OBJECTIVE: This study aimed to assess artificial intelligence (AI)-based synthetic data (SD) generat...

Metabolic Reprogramming in Pheochromocytoma and Paraganglioma: Insights From Untargeted NMR Metabolomics Presurgical and Postsurgical intervention.

The aim of this study is to investigate the metabolic alterations associated with pheochromocytomas ...

Comment on "An Artificial Intelligence Tool Used for Patient Selection in Cosmetic Surgery".

This commentary evaluates the study by Li et al. on the use of artificial intelligence (AI) for pati...

Artificial intelligence in hematopoietic stem cell transplantation care and complication management.

The practice of allogeneic hematopoietic stem cell transplantation (alloHCT) has evolved from an exp...

Camera-Based Photoplethysmography for Measuring Heartbeat Intervals During General Anesthesia.

BACKGROUND: Photoplethysmography has been used to assess vital signs since the late 19th century. Re...

Next-gen vision: a systematic review on robotics transforming ophthalmic surgery.

Robotics in ophthalmic surgery marks a major advancement in surgical accuracy, safety, and therapeut...

Gated recurrent unit with decay has real-time capability for postoperative ileus surveillance and offers cross-hospital transferability.

BACKGROUND: Ileus, a postoperative complication after colorectal surgery, increases morbidity, costs...

Combined nomogram for differentiating adrenal pheochromocytoma from large-diameter lipid-poor adenoma using multiphase CT radiomics and clinico-radiological features.

BACKGROUND AND OBJECTIVE: Adrenal incidentalomas (AIs) are predominantly adrenal adenomas (80%), wit...