Surgery

Unsupervised Phenomapping of Perioperative Risk in Stable Coronary Artery Disease: Revealing Limitations of the Revised Cardiac Risk Index.

AIMS: To derive unsupervised clinical phenotypes in patients with stable coronary artery disease (CAD) undergoing elective non-cardiac surgery and evaluate phenotype-stratified performance of the Revised Cardiac Risk Index (RCRI) and laboratory-augmented CHALSA score for perioperative major adverse cardiovascular events (MACE). METHODS: This single-center retrospective cohort included 9,171 patien...

Microneedle-based theranostics for melanoma: Advances and outlook.

Melanoma represents a highly aggressive malignancy that poses persistent challenges for clinical diagnosis and treatment. Although surgical intervention remains the primary therapeutic approach, the potential risk of postoperative recurrence and surgical complications underscores the critical importance of adjuvant therapies. Microneedles (MNs), as a promising drug delivery device, utilize micron-...

An interpretable machine learning model for early risk stratification of medium-to-giant coronary artery aneurysm in Kawasaki disease: development and external validation.

BACKGROUND: Medium-to-giant coronary artery aneurysm (MGCAA) represents the most severe complication of Kawasaki disease (KD) and remains difficult to...

Deep learning-based identification of aberrant anterior tibial artery on knee MRI: a brazilian multicenter study.

OBJECTIVE: To develop and validate a deep learning model for the detection of aberrant anterior tibial artery (AATA) on axial T2-weighted knee MRI, gi...

Predictive value of Hypotension Prediction Index in liver transplantation: a prospective study.

BACKGROUND: Intraoperative hypotension (IOH) is associated with increased postoperative morbidity and mortality. This prospective study evaluated the ...

Detecting early signs of patient deterioration at home using wearable sensors: a personalized anomaly detection approach.

In the rapidly emerging field of transferring healthcare from hospitals to patients' homes, it is essential that signs of remote deterioration at home...

Harnessing Large Language Models in Neonatal IVH: Exploring RAG Methodology for Prognostic Variable Discovery.

OBJECTIVE: To evaluate whether large language models (LLMs) can autonomously synthesize existing literature and accurately extract prognostic variable...

The Silent Author: A Pilot Study Detecting AI-Assisted Writing in Plastic and Reconstructive Surgery Journals.

BACKGROUND: Academic publishing underpins surgical decision-making, but the rapid adoption of generative artificial intelligence (AI) raises concerns ...

Clustering of disease trajectories with explainable machine learning: A case study on postoperative delirium phenotypes.

The identification of phenotypes within complex diseases is a fundamental component of personalized medicine, which aims to adapt healthcare to indivi...

Identification of key genes in the pathogenesis of hepatic ischemia-reperfusion injury based on bioinformatics and experimental verification.

Hepatic ischemia-reperfusion injury (HIRI) is a frequently encountered complication during liver surgical procedures, characterized by ischemia-induce...

Design of an in-pipe inspection robotic system (IPIRS) with YOLOv8-LSTM integration for real-time in-pipe navigation.

Conventional methods are still labor-intensive, hazardous, and have limited coverage, even though reliable pipeline inspection is crucial for oil, gas...

Deep learning-based segmentation of aneurysmal subarachnoid hemorrhage: toward accurate and scalable prognostic imaging.

BACKGROUND: Accurate segmentation of aneurysmal cerebral hemorrhages, including subarachnoid hemorrhage (SAH), intraparenchymal hemorrhage (IPH), and ...

Expanding the Taxonomy of Ethical Issues in Surgical Innovation.

Surgical innovation poses significant ethical challenges. Previous work has grouped these challenges under four categories: potential harms to patient...

When seconds matter - introducing a surgical salvage strategy by emergency robotic surgery: a review.

Robotic surgery has expanded minimally invasive options but introduces specific vulnerabilities during intraoperative emergencies. The physical separa...

Development and validation of an interpretable prediction model for the risk of unplanned reoperation in patients underwent intracranial tumor surgery.

Brain and central nervous system (CNS) malignancies represent a substantial burden on healthcare systems worldwide, and unplanned reoperations followi...

Nurses' artificial intelligence anxiety levels, their attitudes towards artificial intelligence, and their skills in acting humanistically in nursing practices.

AIM: This study aims to investigate the levels of artificial intelligence-related anxiety among nurses, their attitudes towards the use of AI in clini...

VitalDB Arrhythmia Database: An Anesthesiologist-Validated Large-scale Intraoperative Arrhythmia Dataset with Beat and Rhythm Labels.

Intraoperative cardiac arrhythmias present distinct characteristics compared to non-surgical environments, yet publicly available electrocardiogram (E...

AI-assisted tumor board decision-making in pancreatic oncology.

BACKGROUND: Pancreatic cancer requires nuanced, multidisciplinary treatment planning typically conducted within tumor boards. While Large Language Mod...

Machine learning-based models using preoperative imaging and clinical data to predict intraoperative rebleeding and functional recovery in intracerebral hemorrhage patients: a multicenter study.

BACKGROUND: Spontaneous intracerebral hemorrhage (ICH) is associated with high mortality and disability. This study aimed to develop and validate mach...

Longitudinal Investigation of Postural Strategies Associated with Improvement in Gait Speed Following Adult Spinal Deformity Surgery using Machine Learning.

STUDY DESIGN: Retrospective longitudinal cohort study. OBJECTIVE: To identify postural strategies associated with improvement in gait speed following ...