Surgery

Latest AI and machine learning research in surgery for healthcare professionals.

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Sex-based differences in imaging-derived body composition and their association with clinical malnutrition in abdominal surgery patients

Malnutrition significantly impacts surgical outcomes yet is difficult to identify preoperatively. Fe...

Development and Evaluation of an AI-Assisted, Privacy-Preserving Surgical Risk Calculator

Large language models (LLMs) have shown capabilities in generating functional code, yet their utilit...

Plasma Cell-Free RNA Captures Immune Dynamics and Predicts GVHD after Hematopoietic Stem Cell Transplantation

Despite long-standing success of hematopoietic stem cell transplantation (HSCT) in the treatment of ...

Variation and Standardization in Prior Authorization Requirements

Prior authorization (PA) rules are neither regulated nor standardized. To quantify the variation in ...

Clinical translation of ultrasoft Fleuron™ probes for stable, high-density, and bidirectional brain interfaces

Building brain foundation models to capture the underpinning neural dynamics of human behavior requi...

Artificial intelligence-enhanced Electrocardiography Score for Perioperative Risk Assessment in Non-cardiac Surgery

The role of electrocardiography (ECG) has been limited in the preoperative risk evaluation in noncar...

AENEAS Project: Machine Vision-Based Real-Time Anatomy Detection. Application to the Pterional Trans-Sylvian Approach

Surgical success hinges on two core factors: technical execution and cognitive planning. While the f...

Steroid Metabolome Profiling Identifies a Unique Androgen Hormone Signature Associated with Endometriosis

Endometriosis is a chronic, hormone-dependent condition that affects 190 million women worldwide. Th...

The Neurosurgical Uncertainty Index: Self-Doubting AI for rare or unexpected surgical complications

Rare or unexpected postoperative neurosurgical complications pose a challenge due to clinical variab...

Revealing the Infiltration: Prognostic Value of Automated Segmentation of Non-Contrast-Enhancing Tumor in Glioblastoma

Precise delineation of non-contrast-enhancing tumor (nCET) in glioblastoma (GB) is critical for maxi...

Clinical-grade autonomous cytopathology via whole-slide edge tomography

Cytopathology plays a central role in the early detection of cancers such as cervical, lung, and bla...

CEREBLEED: Automated quantification and severity scoring of intracranial hemorrhage on non-contrast CT

Intracranial hemorrhage (ICH), whether spontaneous or traumatic, is a neurological emergency with hi...

Prompt injection attacks on vision-language models for surgical decision support

Artificial Intelligence-driven analysis of laparoscopic video holds potential to increase the safety...

Artificial Intelligence for Surgical Scene Understanding: A Systematic Review and Reporting Quality Meta-Analysis

Surgical scene understanding (SSU) describes the use of Artificial Intelligence (AI) to provide an u...

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