Surgery

Bridging surgical oncology and personalized medicine: the role of artificial intelligence and machine learning in thoracic surgery.

Lung cancer remains the leading cause of cancer-related deaths globally, often detected in advanced ...

Clinical performance of a machine learning-based model for detecting lymph node metastasis in papillary thyroid carcinoma: A multicenter study.

Papillary thyroid carcinoma (PTC) is a common endocrine malignancy with a generally favorable progno...

Screening risk factors for the occurrence of wedge effects in intramedullary nail fixation for intertrochanteric fractures in older people via machine learning and constructing a prediction model: a retrospective study.

PURPOSE: The wedge effect (V-effect) is a common complication in intramedullary nailing surgery for ...

Efficient control of spider-like medical robots with capsule neural networks and modified spring search algorithm.

This study introduces an innovative method for gesture recognition in medical robotics, utilizing Ca...

Miniaturized soft growing robots for minimally invasive surgeries: challenges and opportunities.

Advancements in assistive robots have significantly transformed healthcare procedures in recent year...

Fine-tune language models as multi-modal differential equation solvers.

In the growing domain of scientific machine learning, in-context operator learning has shown notable...

Artificial intelligence in refractive surgery.

PURPOSE OF REVIEW: Advances in artificial intelligence have integrated into modern medicine decision...

AO Spine Clinical Practice Recommendations for Diagnosis and Management of Degenerative Cervical Myelopathy: Evidence Based Decision Making - A Review of Cutting Edge Recent Literature Related to Degenerative Cervical Myelopathy.

Study DesignLiterature review of key topics related to degenerative cervical myelopathy (DCM) with c...

Early operative difficulty assessment in laparoscopic cholecystectomy via snapshot-centric video analysis.

PURPOSE: Laparoscopic cholecystectomy (LC) operative difficulty (LCOD) is highly variable and influe...

Using the Geriatric Emergency Perioperative Risk Index Derived From Artificial Intelligence Algorithms to Predict Outcomes of Geriatric Emergency General Surgery.

INTRODUCTION: The objective of this study was to employ artificial intelligence (AI) technology for ...

Predicting Weight Loss Success After Gastric Sleeve Surgery: A Machine Learning-Based Approach.

BACKGROUND/OBJECTIVES: Obesity is a global health issue, and in this context, bariatric surgery is c...

Automated assessment of simulated laparoscopic surgical skill performance using deep learning.

Artificial intelligence (AI) has the potential to improve healthcare and patient safety and is curre...

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients.

This study introduces a Brain-Computer Interface (BCI)-controlled upper limb assistive robot for pos...

New navigation for laparoscopic and robotic cholecystectomy using artificial intelligence.

Predicting Intraoperative Burst Suppression Using Preoperative EEG and Patient Characteristics.

Burst suppression (BS) is an electroencephalogram (EEG) pattern observed in patients undergoing gene...

Enhancing Accuracy of Operative Reports with Automated Artificial Intelligence Analysis of Surgical Video.

BACKGROUND: The creation of operative reports is a tedious documentation task that increases adminis...

Diabetes: Non-Invasive Blood Glucose Monitoring Using Federated Learning with Biosensor Signals.

Diabetes is a growing global health concern, affecting millions and leading to severe complications ...

Transformer-based skeletal muscle deep-learning model for survival prediction in gastric cancer patients after curative resection.

BACKGROUND: We developed and evaluated a skeletal muscle deep-learning (SMDL) model using skeletal m...

Single-Cell Sequencing-Guided Annotation of Rare Tumor Cells for Deep Learning-Based Cytopathologic Diagnosis of Early Lung Cancer.

Deep learning (DL) models for medical image analysis are majorly bottlenecked by the lack of well-an...

Prediction of postoperative intensive care unit admission with artificial intelligence models in non-small cell lung carcinoma.

BACKGROUND: There is no standard practice for intensive care admission after non-small cell lung can...

Tracking control of robotic manipulator end-effector trajectory based on robust sliding mode method.

This paper addresses the precise trajectory tracking of robotic manipulators (RMs) in automation tas...