A5066219856- Surgical Simulation and Training
- Soft Robotics and Applications
- Anatomy and Medical Technology
- Augmented Reality Applications
- Optical Coherence Tomography Applications
- EEG and Brain-Computer Interfaces
- Teleoperation and Haptic Systems
- Cell Image Analysis Techniques
- Prenatal Screening and Diagnostics
- Head and Neck Cancer Studies
- Central Venous Catheters and Hemodialysis
- Medical Image Segmentation Techniques
- Photoacoustic and Ultrasonic Imaging
- Fetal and Pediatric Neurological Disorders
- Neuroscience and Neural Engineering
- Lung Cancer Diagnosis and Treatment
- Gaze Tracking and Assistive Technology
- Electrical and Bioimpedance Tomography
- Assisted Reproductive Technology and Twin Pregnancy
- Voice and Speech Disorders
- Image Processing Techniques and Applications
- Robotics and Sensor-Based Localization
- Microfluidic and Bio-sensing Technologies
- AI in cancer detection
- Body Composition Measurement Techniques
Italian Institute of Technology
2015-2024
University of Genoa
2021
North Carolina State University
2002-2007
Objectives To assess a new application of artificial intelligence for real‐time detection laryngeal squamous cell carcinoma (LSCC) in both white light (WL) and narrow‐band imaging (NBI) videolaryngoscopies based on the You‐Only‐Look‐Once (YOLO) deep learning convolutional neural network (CNN). Study Design Experimental study with retrospective data. Methods Recorded videos LSCC were retrospectively collected from in‐office transnasal videoendoscopies intraoperative rigid endoscopies....
Objective To investigate the potential of deep learning for automatically delineating (segmenting) laryngeal cancer superficial extent on endoscopic images and videos. Methods A retrospective study was conducted extracting annotating white light (WL) Narrow‐Band Imaging (NBI) frames to train a segmentation model ( SegMENT‐Plus ). Two external datasets were used validation. The model's performances compared with those two otolaryngology residents . In addition, tested real intraoperative...
Fully convoluted neural networks (FCNN) applied to video-analysis are of particular interest in the field head and neck oncology, given that endoscopic examination is a crucial step diagnosis, staging, follow-up patients affected by upper aero-digestive tract cancers. The aim this study was test FCNN-based methods for semantic segmentation squamous cell carcinoma (SCC) oral cavity (OC) oropharynx (OP).Two datasets were retrieved from institutional registry tertiary academic hospital...
Driven by regulatory authorities and the ever-growing demands from industry, various artificial tissue models have been developed. Nevertheless, there is no model to date that capable of mimicking biomechanical properties skin whilst exhibiting hydrophilicity/hydrophobicity layers. As a proof-of-concept study, surrogates based on gel silicone are fabricated for evaluation microneedle penetration, drug diffusion, photothermal activity, ultrasound bioimaging. The layer aims imitate stratum...
To introduce a novel computerized surgical system for improved usability, intuitiveness, accuracy, and controllability in robot-assisted laser phonomicrosurgery.Pilot technology assessment.The was developed involving newly designed motorized micromanipulator, touch-screen display, graphics stylus. The allows the control of CO2 through interaction between stylus live video area. This empowers with ability to have actual effect on site. Surgical enhancements afforded by this were established...
Objective: Surgical data science is evolving into a research field that aims to observe everything occurring within and around the treatment process provide situation-aware data-driven assistance. In context of endoscopic video analysis, accurate classification organs in view camera proffers technical challenge. Herein, we propose new approach anatomical structure image tagging features an intrinsic measure confidence estimate its own performance with high reliability which can be applied...
Abstract Intuitive interaction is the cornerstone of accurate and effective performance in remote robotic teleoperation. It requires high-fidelity control actions as well perception (vision, haptic, other sensory feedback) environment. This paper presents Vicarios , a Virtual Reality (VR) based interface with aim facilitating intuitive real-time teleoperation, while utilizing inherent benefits VR, including immersive visualization, freedom user viewpoint selection, fluidity through natural...
Narrow Band Imaging (NBI) is an endoscopic visualization technique useful for upper aero-digestive tract (UADT) cancer detection and margins evaluation. However, NBI analysis strongly operator-dependent requires high expertise, thus limiting its wider implementation. Recently, artificial intelligence (AI) has demonstrated potential applications in UADT videoendoscopy. Among AI methods, deep learning algorithms, especially convolutional neural networks (CNNs), are particularly suitable...
This paper proposes an automated robotic system to perform cell microinjections relieve human operators from this highly difficult and tedious manual procedure. The system, which uses commercial equipment currently found on most biomanipulation laboratories, consists of a multitask software framework combining computer vision control elements. part features injection pipette tracker automatic targeting that is responsible for defining points within the contours adherent cells in culture....
The development of the narrow-band imaging (NBI) has been increasing interest medical specialists in study laryngeal microvascular network to establish diagnosis without biopsy and pathological examination. A possible solution this challenging problem is presented paper, which proposes an automatic method based on anisotropic filtering matched filter extract lesion area segment blood vessels. Lesion classification then performed a statistical analysis vessels' characteristics, such as...
Robotic telesurgery is a new concept in surgical care that has gained relevance over the past two decades. Now, with introduction of 5G mobile networks, this becoming practical. Here, we report surgeons successfully performed complex transoral laser microsurgeries on vocal cords an adult human cadaver located 15 km away from them. This was possible thanks to high bandwidth and ultra-low latency telecommunication system, which allowed for precise remote control robotic instruments full HD (...
The worldwide implementation of a liver graft pool using marginal livers (ie, grafts with high risk technical complications and impaired function or transmitting infection malignancy to the recipient) has led growing interest in developing methods for accurate evaluation quality. Liver steatosis is associated higher primary nonfunction, early dysfunction, poor survival rate. present study aimed analyze value artificial intelligence (AI) assessment during procurement compared biopsy...
The early detection of head and neck squamous cell carcinoma (HNSCC) is essential to improve patient prognosis enable organ function preservation treatments. objective this study assess the feasibility using electrical bioimpedance (EBI) sensing technology detect HNSCC tissue. A prospective was carried out analyzing tissue from 46 patients undergoing surgery for HNSCC. goal correct identification pathologic a novel needle-based EBI device AI-based classifiers. Considering data overall...
Blastocyst microinjections are routinely involved in the process of creating genetically modified mice for biomedical research, but their efficiency is highly dependent on skills operators. As a consequence, much time and resources required training microinjection personnel. This situation has been aggravated by rapid growth genetic which increased demand mutant animals. Therefore, productivity this area desired. Here, we pursue these goals through automation previously developed...
Robotics has a significant potential to enhance the overall capacity and efficiency of healthcare systems. Robots can help surgeons perform better quality operations, leading reductions in hospitalisation time patients impact surgery on their postoperative life. In particular, robotics have microsurgery, which presents stringent requirements for superhuman precision control surgical tools. Microsurgery is, fact, expected gain importance growing range specialties as novel technologies...