Surgery

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

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Robot-Assisted Retrograde Intrarenal Surgery: A Mini Review of the Literature on Robotic Surgery Platforms for Endoscopic Stone Surgery.

Retrograde intrarenal surgery (RIRS) has become a cornerstone in renal stone management, with roboti...

Accuracy and Reliability of ChatGPT in Answering Patient Questions About Lung Cancer and Its Surgery: An Expert Panel Evaluation by Thoracic Surgeons.

This study aimed to evaluate the accuracy, clarity, and scientific adequacy of ChatGPT's responses t...

Identifying features of prior hemorrhage in cerebral cavernous malformations on quantitative susceptibility maps: a machine learning pilot study.

Features of new bleeding on conventional imaging in cerebral cavernous malformations (CCMs) often di...

A self-supervised robotic system for autonomous contact-based spatial mapping of semiconductor properties.

Integrating robotically driven contact-based material characterization techniques into self-driving ...

Prediction of postoperative infection through early-stage salivary microbiota following kidney transplantation using machine learning techniques.

Kidney transplantation (KT) is an effective treatment for end-stage renal disease; however, the life...

Artificial intelligence for electrocardiographic diagnosis of perioperative myocardial ischaemia: a scoping review.

BACKGROUND: Perioperative electrocardiographic monitoring can offer immediate detection of myocardia...

Machine learning algorithms for prediction of cerebrospinal fluid leakage after posterior surgery for thoracic ossification of the ligamentum flavum.

To develop and validate a machine-learning (ML) model that pre-operatively predicts cerebrospinal-fl...

Imaging Based Surgical Site Infection Detection Using Artificial Intelligence.

OBJECTIVE: To develop an AI-based pipeline to assess and triage patient-submitted postoperative woun...

Artificial Intelligence-Assisted Conductive Hydrogel Dressings for Refractory Wounds Monitoring.

Refractory wounds cause significant harm to the health of patients and the most common treatments in...

Toward developing a compact total artificial heart using a soft robotic fluidic transmission system.

Cardiovascular diseases are a leading cause of mortality, with limited possibilities for transplanta...

Individualized structural network deviations predict surgical outcome in mesial temporal lobe epilepsy: a multicentre validation study.

BACKGROUND: Surgical resection is an effective treatment for medically refractory mesial temporal lo...

Multimodal nomogram integrating deep learning radiomics and hemodynamic parameters for early prediction of post-craniotomy intracranial hypertension.

To evaluate the effectiveness of deep learning radiomics nomogram in distinguishing early intracrani...

In Vivo Laparoscopic Image De-smoking Dataset, Evaluation, and Beyond.

The development of effective algorithms for removing surgical smoke in laparoscopic surgery has been...

Parsimonious and explainable machine learning for predicting mortality in patients post hip fracture surgery.

Hip fractures among the elderly population continue to present significant risks and high mortality ...

Optimizing engine operating parameters for enhanced performance in a combustion-enhanced ternary-fuelled compression ignition engine.

This research aims to determine an appropriate injection timing (IT) and exhaust gas recirculation r...

Comparative study of five-year cervical cancer cause-specific survival prediction models based on SEER data.

Cervical cancer (CC) is a major cause of mortality in women, with stagnant survival rates, highlight...

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