Surgery

Laser Surgery

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

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State of the Art in Robot-Assisted Eye Surgery.

Despite the advantages that robot-assisted surgery can offer to patient care, its use in ophthalmic ...

Quantification of local zinc and tungsten deposits in bone with LA-ICP-MS using novel hydroxyapatite-collagen calibration standards.

Tungsten has recently emerged as a potential toxicant and is known to heterogeneously deposit in bon...

Ophthalmic Disease Detection via Deep Learning With a Novel Mixture Loss Function.

With the popularization of computer-aided diagnosis (CAD) technologies, more and more deep learning ...

Foundational Considerations for Artificial Intelligence Using Ophthalmic Images.

IMPORTANCE: The development of artificial intelligence (AI) and other machine diagnostic systems, al...

Fast and Accurate Ophthalmic Medication Bottle Identification Using Deep Learning on a Smartphone Device.

PURPOSE: To assess the accuracy and efficacy of deep learning models, specifically convolutional neu...

Robotic guidance platform for laser interstitial thermal ablation and stereotactic needle biopsies: a single center experience.

While laser ablation has become an increasingly important tool in the neurosurgical oncologist's arm...

Economic Evaluations of Artificial Intelligence in Ophthalmology.

Artificial intelligence (AI) is expected to cause significant medical quality enhancements and cost-...

Robot assisted laser-interstitial thermal therapy with iSYS1 and Visualase: how I do it.

BACKGROUND: Laser-interstitial thermal therapy (LITT) is an ablative treatment based on a surgically...

Densely connected U-Net retinal vessel segmentation algorithm based on multi-scale feature convolution extraction.

PURPOSE: The segmentation results of retinal blood vessels have a significant impact on the automati...

A Soft Resistive Sensor with a Semicircular Cross-Sectional Channel for Soft Cardiac Catheter Ablation.

The field of soft robotics has attracted the interest of the medical community due to the ability of...

Coronary vessel detection methods for organ-mounted robots.

BACKGROUND: HeartLander is a tethered robot walker that utilizes suction to adhere to the beating he...

Large-scale machine-learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology.

Genome-wide association studies (GWASs) require accurate cohort phenotyping, but expert labeling can...

Predicting sex from retinal fundus photographs using automated deep learning.

Deep learning may transform health care, but model development has largely been dependent on availab...

Upper urinary tract surgery and radical prostatectomy with Senhance robotic system: Single center experience-First 100 cases.

BACKGROUND: The Senhance robotic surgery system is a novel robotic platform used in several European...

Can robotics be the future of ophthalmic surgery?

The future of robotic ophthalmologic surgery looks promising. Innovations in robotic technology and ...

A deep learning approach for 2D ultrasound and 3D CT/MR image registration in liver tumor ablation.

BACKGROUND AND OBJECTIVE: Liver tumor ablation is often guided by ultrasound (US). Due to poor image...

Predicting Absorption-Distribution Properties of Neuroprotective Phosphine-Borane Compounds Using In Silico Modeling and Machine Learning.

Phosphine-borane complexes are novel chemical entities with preclinical efficacy in neuronal and oph...

Graph of graphs analysis for multiplexed data with application to imaging mass cytometry.

Imaging Mass Cytometry (IMC) combines laser ablation and mass spectrometry to quantitate metal-conju...

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