Surgery

A Robotic Injection System for Consistent Pneumo-dissection of the Deep Stroma in Big Bubble DALK Surgery.

In this paper we present a novel robotic injection system capable of performing clinically relevant pneumo-dissection of the deep stroma for the big bubble DALK procedure. Because the recommended clinical technique to insert a needle into the deep stroma using a horizontal approach results in inconsistent dissection, we designed an automatic injection robot to employ a vertical approach to consist...

Minimally invasive monitor of cardiac output based on the machine-learning analysis of the pulse contour of the peripheral arterial pressure.

In the hemodynamic management of anesthetized patients during surgical operation, minimally invasive and accurate cardiac output (CO) monitoring is strongly required. We have developed a CO monitor based on the machine-learning analysis of the pulse contour of the peripheral arterial pressure (AP) and validated it experimentally in 24 dogs. In the development, we aimed to make the monitor reliable...

Deep Learning Analysis of Retinal Structures and Risk Factors of Alzheimer's Disease.

The importance of early Alzheimer's Disease screening is becoming more apparent, given the fact that there is no way to revert the patient's status af...

Biosignal-based Control of a Robotic Gait Training Lifter.

In this paper, we present a robotic walker that aims to encourage the patient's voluntary movement by enabling intention-based control of the mobile b...

Robotic Assistance for Precise Spinal Injections: Development and Clinical Verification.

Robot-assisted surgical systems have shown promising results and better patient outcomes in pedicle screw instrumentation and percutaneous needle inte...

[Exploration of the clinical transformation application of the artificial intelligence diagnosis system for bladder cancer based on cystoscopy].

This study aims to explore the possibility and bottleneck of clinical translation for an artificial intelligence (AI) diagnosis system for bladder can...

Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics

Ultrasonography has revolutionized non-invasive diagnostic methodologies, significantly enhancing patient outcomes across various medical domains. D...

Thrombogenic Risk Assessment of Transcatheter Prosthetic Heart Valves Using a Fluid-Structure Interaction Approach

Prosthetic heart valve interventions such as TAVR have surged over the past decade, but the associated complication of long-term, life-threatening t...

Development and Validation of Fully Automatic Deep Learning-Based Algorithms for Immunohistochemistry Reporting of Invasive Breast Ductal Carcinoma

Immunohistochemistry (IHC) analysis is a well-accepted and widely used method for molecular subtyping, a procedure for prognosis and targeted therap...

A Calibration Approach for Elasticity Estimation with Medical Tools

Soft tissue elasticity is directly related to different stages of diseases and can be used for tissue identification during minimally invasive proce...

Development of an ontology for laparoscopic transabdominal adrenalectomy via a comprehensive modified Delphi survey and its validation on a multicentric pilot data set for surgical training and future video analysis with machine learning algorithms.

Realistic Data Generation for 6D Pose Estimation of Surgical Instruments

Automation in surgical robotics has the potential to improve patient safety and surgical efficiency, but it is difficult to achieve due to the need ...

Research on Tumors Segmentation based on Image Enhancement Method

One of the most effective ways to treat liver cancer is to perform precise liver resection surgery, the key step of which includes precise digital i...

[Exploration of prognostic models for chronic rhinosinusitis with nasal polyps based on machine learning].

To analysis the molecular characteristics of chronic rhinosinusitis with nasal polyps (CRSwNP), to unravel its pathophysiological mechanisms, and to ...

Deep-Learning Approach for Tissue Classification using Acoustic Waves during Ablation with an Er:YAG Laser (Updated)

Today's mechanical tools for bone cutting (osteotomy) cause mechanical trauma that prolongs the healing process. Medical device manufacturers aim to...

Enhancing Precision in Tactile Internet-Enabled Remote Robotic Surgery: Kalman Filter Approach

Accurately estimating the position of a patient's side robotic arm in real time in a remote surgery task is a significant challenge, particularly in...

[Artificial intelligence: to a better predictive strategy for testicular sperm extraction outcome in azoospermia].

Azoospermia, defined as the absence of sperm in the semen, is found in 10-15 % of infertile patients. Two-thirds of these cases are caused by impaired...

Predicting Glaucoma Surgical Outcomes Using Neural Networks and Machine Learning on Electronic Health Records.

PURPOSE: To develop machine learning (ML) and deep learning (DL) models to predict glaucoma surgical outcomes, including postoperative intraocular pre...

[Minimally invasive intelligent innovative technologies in foot and ankle surgery: development status and prospects].

The rapid development of technology has ushered in a new era of minimally invasive and intelligent surgery.Minimally invasive surgeries, such as small...

ERegPose: An explicit regression based 6D pose estimation for snake-like wrist-type surgical instruments.

BACKGROUND: Accurately estimating the 6D pose of snake-like wrist-type surgical instruments is challenging due to their complex kinematics and flexibl...