Surgery

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

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Efficient brain tumor grade classification using ensemble deep learning models.

Detecting brain tumors early on is critical for effective treatment and life-saving efforts. The ana...

Active Machine Learning for Pre-procedural Prediction of Time-Varying Boundary Condition After Fontan Procedure Using Generative Adversarial Networks.

The Fontan procedure is the definitive palliation for pediatric patients born with single ventricles...

Deep Learning Approaches for the Assessment of Germinal Matrix Hemorrhage Using Neonatal Head Ultrasound.

Germinal matrix hemorrhage (GMH) is a critical condition affecting premature infants, commonly diagn...

Management of experimental workflows in robotic cultivation platforms.

In the last decades, robotic cultivation facilities combined with automated execution of workflows h...

Seizure Sources Can Be Imaged from Scalp EEG by Means of Biophysically Constrained Deep Neural Networks.

Seizure localization is important for managing drug-resistant focal epilepsy. Here, the capability o...

Predicting Portal Pressure Gradient in Patients with Decompensated Cirrhosis: A Non-invasive Deep Learning Model.

BACKGROUND: A high portal pressure gradient (PPG) is associated with an increased risk of failure to...

Human Capital and Productivity in Surgery Research Across the Globe: A Big Data Analysis Using Artificial Intelligence.

INTRODUCTION: No investigation of each nation's contribution to knowledge production and human capit...

A Bio-Inspired Magnetic Soft Robotic Fish for Efficient Solar-Energy Driven Water Purification.

Solar-driven water evaporation is a promising solution for global water scarcity but is still facing...

Dual-hesitant fermatean fuzzy Hamacher aggregation operators and TOPSIS with their application to multi-criteria decision-making.

The concept of the Dual-hesitant fermatean fuzzy set (DHFFS) represents a significant advancement in...

Accuracy of Zygomatic Implant Placement Using Task-Autonomous Robotic System or Dynamic Navigation: An In Vitro Study.

OBJECTIVES: To evaluate and compare the accuracy of task-autonomous robot-assisted implant surgery (...

Target-specified reference-based deep learning network for joint image deblurring and resolution enhancement in surgical zoom lens camera calibration.

BACKGROUND AND OBJECTIVE: For the augmented reality of surgical navigation, which overlays a 3D mode...

Noninvasive biometric monitoring technologies for patients with heart failure.

Heart failure remains one of the leading causes of mortality and hospitalizations in the US that not...

Exactly conservative physics-informed neural networks and deep operator networks for dynamical systems.

We introduce a method for training exactly conservative physics-informed neural networks and physics...

Deep learning prediction of error and skill in robotic prostatectomy suturing.

BACKGROUND: Manual objective assessment of skill and errors in minimally invasive surgery have been ...

Patient public perspectives on digital colorectal cancer surgery (DALLAS).

INTRODUCTION: The importance of patient perspectives is increasingly appreciated in clinical practic...

AI in radiology: From promise to practice - A guide to effective integration.

While Artificial Intelligence (AI) has the potential to transform the field of diagnostic radiology,...

Amaurosis after Inferior Alveolar Nerve Block Injection in a Seven-Year-Old Girl: A Case Report and Review of the Literature.

A seven-year-old girl was referred for the treatment of her primary teeth. An inferior alveolar nerv...

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