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Subcategories: Anesthesiology Laser Surgery Neurosurgery Orthopedics Otolaryngology Plastic Surgery Surveys Thoracic Surgery

Showing 7561-7581 of 9,691 articles

Optimizing Stroke Detection Using Evidential Networks and Uncertainty-Based Refinement.

Evaluating neurological impairments post-stroke is essential for assessing treatment efficacy and ma...

Jan 2025 40031143

The Ghost in the Machine: Will AI Open the Door to Fully Autonomous Robotic Surgery?

We live in a world where robots can operate with a level of precision that is hard for humans to mat...

Jan 2025 40031532

Current and Future Applications of Artificial Intelligence to Diagnose and Treat Male Infertility.

Artificial intelligence (AI) models are being increasingly applied to modern medicine. Within the fi...

Jan 2025 40301250

Artificial intelligence model for perigastric blood vessel recognition during laparoscopic radical gastrectomy with D2 lymphadenectomy in locally advanced gastric cancer.

BACKGROUND: Radical gastrectomy with D2 lymphadenectomy is standard surgical protocol for locally ad...

Dec 2024 39963943

Investigating surgeon performance metrics as key predictors of robotic herniorrhaphy outcomes using iterative machine learning models: retrospective study.

BACKGROUND: Robotic data streams allow for capture of objective performance indicators, providing th...

Dec 2024 39980088

Resolving the Ambiguity of Complete-to-Partial Point Cloud Registration for Image-Guided Liver Surgery with Patches-to-Partial Matching

In image-guided liver surgery, the initial rigid alignment between preoperative and intraoperative...

Dec 2024 http://arxiv.org/abs/2412.19328v2

[Image reconstruction for cerebral hemorrhage based on improved densely-connected fully convolutional neural network].

Cerebral hemorrhage is a serious cerebrovascular disease with high morbidity and high mortality, for...

Dec 2024 40000208

Convolutional Deep Operator Networks for Learning Nonlinear Focused Ultrasound Wave Propagation in Heterogeneous Spinal Cord Anatomy

Focused ultrasound (FUS) therapy is a promising tool for optimally targeted treatment of spinal co...

Dec 2024 http://arxiv.org/abs/2412.16118v1

Precision ICU Resource Planning: A Multimodal Model for Brain Surgery Outcomes

Although advances in brain surgery techniques have led to fewer postoperative complications requir...

Dec 2024 http://arxiv.org/abs/2412.15818v1

AI-Powered Intracranial Hemorrhage Detection: A Co-Scale Convolutional Attention Model with Uncertainty-Based Fuzzy Integral Operator and Feature Screening

Intracranial hemorrhage (ICH) refers to the leakage or accumulation of blood within the skull, whi...

Dec 2024 http://arxiv.org/abs/2412.14869v1

SurgSora: Decoupled RGBD-Flow Diffusion Model for Controllable Surgical Video Generation

Medical video generation has transformative potential for enhancing surgical understanding and pat...

Dec 2024 http://arxiv.org/abs/2412.14018v1

Expanded Comprehensive Robotic Cholecystectomy Dataset (CRCD)

In recent years, the application of machine learning to minimally invasive surgery (MIS) has attra...

Dec 2024 http://arxiv.org/abs/2412.12238v1

Facial Surgery Preview Based on the Orthognathic Treatment Prediction

Orthognathic surgery consultation is essential to help patients understand the changes to their fa...

Dec 2024 http://arxiv.org/abs/2412.11045v2

Temporomandibular joint and masticatory muscles morphometry and morphology in healthy subjects and individuals with temporomandibular dysfunction: An anatomical, radiological, and machine learning application study.

The study aimed to compare the morphometric and morphologic analyses of the bone structures of tempo...

Dec 2024 39686464

A Combined Channel Approach for Decoding Intracranial EEG Signals: Enhancing Accuracy through Spatial Information Integration

Intracranial EEG (iEEG) recording, characterized by high spatial and temporal resolution and super...

Dec 2024 http://arxiv.org/abs/2412.06336v1

Browse Categories

Optimizing Stroke Detection Using Evidential Networks and Uncertainty-Based Refinement.

The Ghost in the Machine: Will AI Open the Door to Fully Autonomous Robotic Surgery?

Current and Future Applications of Artificial Intelligence to Diagnose and Treat Male Infertility.

Artificial intelligence model for perigastric blood vessel recognition during laparoscopic radical gastrectomy with D2 lymphadenectomy in locally advanced gastric cancer.

Investigating surgeon performance metrics as key predictors of robotic herniorrhaphy outcomes using iterative machine learning models: retrospective study.

Resolving the Ambiguity of Complete-to-Partial Point Cloud Registration for Image-Guided Liver Surgery with Patches-to-Partial Matching

[Image reconstruction for cerebral hemorrhage based on improved densely-connected fully convolutional neural network].

Convolutional Deep Operator Networks for Learning Nonlinear Focused Ultrasound Wave Propagation in Heterogeneous Spinal Cord Anatomy

Precision ICU Resource Planning: A Multimodal Model for Brain Surgery Outcomes

AI-Powered Intracranial Hemorrhage Detection: A Co-Scale Convolutional Attention Model with Uncertainty-Based Fuzzy Integral Operator and Feature Screening

SurgSora: Decoupled RGBD-Flow Diffusion Model for Controllable Surgical Video Generation

Expanded Comprehensive Robotic Cholecystectomy Dataset (CRCD)

Facial Surgery Preview Based on the Orthognathic Treatment Prediction

Temporomandibular joint and masticatory muscles morphometry and morphology in healthy subjects and individuals with temporomandibular dysfunction: An anatomical, radiological, and machine learning application study.

Intelligent Control of Robotic X-ray Devices using a Language-promptable Digital Twin

Graph convolutional networks enable fast hemorrhagic stroke monitoring with electrical impedance tomography

Image Retrieval with Intra-Sweep Representation Learning for Neck Ultrasound Scanning Guidance

RoboMM: All-in-One Multimodal Large Model for Robotic Manipulation

Hyperbolic embedding of brain networks can predict the surgery outcome in temporal lobe epilepsy

Adaptive Graph Learning from Spatial Information for Surgical Workflow Anticipation

A Combined Channel Approach for Decoding Intracranial EEG Signals: Enhancing Accuracy through Spatial Information Integration

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