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Impact of a pneumatic surgical robot with haptic feedback function on surgical manipulation.

Scientific reports
Although robotic-assisted surgery has the advantages of low patient burden and high precision without unsteady hand movements, the lack of tactile sensations may result in unexpected iatrogenic organ damage. The Saroa (Riverfield Inc., Tokyo, Japan) ...

Enhancing forensic investigations: Identifying bloodstains on various substrates through ATR-FTIR spectroscopy combined with machine learning algorithms.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
The forensic analysis of bloodstains on various substrates plays a crucial role in criminal investigations. This study presents a novel approach for analyzing bloodstains using Attenuated Total Reflectance Fourier Transform Infrared spectroscopy (ATR...

Learning Skill Characteristics From Manipulations.

IEEE transactions on neural networks and learning systems
Percutaneous coronary intervention (PCI) has increasingly become the main treatment for coronary artery disease. The procedure requires high experienced skills and dexterous manipulations. However, there are few techniques to model PCI skill so far. ...

Deep learning catheter tip locations for photoacoustic-guided cardiac interventions.

Journal of biomedical optics
SIGNIFICANCE: Interventional cardiac procedures often require ionizing radiation to guide cardiac catheters to the heart. To reduce the associated risks of ionizing radiation, photoacoustic imaging can potentially be combined with robotic visual serv...

The use of a porcine model to teach advanced abdominal wall dissection techniques.

Surgical endoscopy
BACKGROUND: In the era of minimally invasive surgery, it is clear that a robust simulation model is required for the training of surgeons in advanced abdominal wall reconstruction. The purpose of this experimentation was to evaluate whether a porcine...

Deep learning assisted sparse array ultrasound imaging.

PloS one
This study aims to restore grating lobe artifacts and improve the image resolution of sparse array ultrasonography via a deep learning predictive model. A deep learning assisted sparse array was developed using only 64 or 16 channels out of the 128 c...

Autonomous medical needle steering in vivo.

Science robotics
The use of needles to access sites within organs is fundamental to many interventional medical procedures both for diagnosis and treatment. Safely and accurately navigating a needle through living tissue to a target is currently often challenging or ...

Discrimination of human and animal bloodstains using hyperspectral imaging.

Forensic science, medicine, and pathology
Blood is the most encountered type of biological evidence in violent crimes and contains pertinent information to a forensic investigation. The false presumption that blood encountered at a crime scene is human may not be realised until after costly ...

Comparison of Global Evaluative Assessment of Robotic Surgery with objective performance indicators for the assessment of skill during robotic-assisted thoracic surgery.

Surgery
BACKGROUND: The Global Evaluative Assessment of Robotic Skills is a popular but ultimately subjective assessment tool in robotic-assisted surgery. An alternative approach is to record system or console events or calculate instrument kinematics to der...

Body Weight Estimation for Pigs Based on 3D Hybrid Filter and Convolutional Neural Network.

Sensors (Basel, Switzerland)
The measurement of pig weight holds significant importance for producers as it plays a crucial role in managing pig growth, health, and marketing, thereby facilitating informed decisions regarding scientific feeding practices. On one hand, the conven...