Publications associées à Facial Image Analysis for Fully-Automatic Prediction of Difficult Endotracheal Intubation

Publications associées (20)

The role of computational methods in cardiovascular medicine: a narrative review

Alfio Quarteroni, Luca Dede', Christian Vergara, Stefano Pagani

Background and Objective: Computational models of the cardiovascular system allow for a detailed and quantitative investigation of both physiological and pathological conditions, thanks to their ability to combine clinical-possibly patient-specific-data wi ...

Ame Publishing Company2024

Enhancing Robustness of Adhesive Hydrogels through PEG-NHS Incorporation

Dominique Pioletti, François Gorostidi, Yanheng Guo, Theofanis Stampoultzis, Vijay Kumar Rana, Ece Mailand

Tissue wounds are a significant challenge for the healthcare system, affecting millions globally. Current methods like suturing and stapling have limitations as they inadequately cover the wound, fail to prevent fluid leakage, and increase the risk of infe ...

Amer Chemical Soc2023

Classification of patients with cardiac amyloidosis using machine learning models on Italian electronic clinical health records

Silvestro Micera

Amyloidosis refers to a range of medical conditions in which misshapen proteins accumulate in various organs and tissues, forming insoluble fibrils. Cardiac amyloidosis is frequently linked to the buildup of misfolded transthyretin (TTR) or immunoglobulin ...

IEEE2023

Discriminative clustering with representation learning with any ratio of labeled to unlabeled data

Corinne Louise Jones

We present a discriminative clustering approach in which the feature representation can be learned from data and moreover leverage labeled data. Representation learning can give a similarity-based clustering method the ability to automatically adapt to an ...

2022

Development of a Database for Translational Spinal Cord Injury Research

Grégoire Courtine

Efforts to understand spinal cord injury (SCI) and other complex neurotrauma disorders at the pre-clinical level have shown progress in recent years. However, successful translation of basic research into clinical practice has been slow, partly because of ...

Mary Ann Liebert2014

Feature-based no-reference video quality assessment using Extra Trees

Arash Amini, Hatef Otroshi Shahreza

With the emergence of social networks and improvements in the internet speed, the video data has become an ever-increasing portion of the global internet traffic. Besides the content, the quality of a video sequence is an important issue at the user end wh ...

WILEY2022

Intracorporeal anchoring and guiding system with permanent magnet force modulation

Lionel Flaction

Magnetic manipulation of objects within the body is a growing field of research since the second half of the last century. Therapeutic and diagnostic capabilities offered by such technology are extended with the clinical need to make procedures less invasi ...

EPFL2013

Lung Ultrasonography for Risk Stratification in Patients with Coronavirus Disease 2019 (COVID-19): A Prospective Observational Cohort Study

Mary-Anne Hartley

Background. Lung ultrasonography (LUS) is a promising pragmatic risk-stratification tool in coronavirus disease 2019 (COVID-19). This study describes and compares LUS characteristics between patients with different clinical outcomes. ...

OXFORD UNIV PRESS INC2021

Automatic Mallampati Classification Using Active Appearance Models

Jean-Philippe Thiran, Matteo Sorci, Anil Yuce, Gabriel Louis Cuendet

Difficult tracheal intubation assessment is an important research topic in anesthesia as failed intubations are important causes of mortality in anesthetic practice. The modified Mallampati score is widely used, alone or in conjunction with other criteria, ...

2012

A Comparison of Methods for OOV-Word Recognition on a New Public Dataset

Petr Motlicek

A common problem for automatic speech recognition systems is how to recognize words that they did not see during training. Currently there is no established method of evaluating different techniques for tackling this problem. We propose using the CommonVoi ...

IEEE Signal Processing Society2021

Influence of Blade Aspiration on the Flow Quality of an Annular Axial Compressor Cascade

Peter Ott, Elia Colombo

Experimental and numerical investigations were performed in order to develop a technique of active flow control by aspiration applied to an annular axial compressor cascade. Continuous aspiration is applied through shaped slots located on the suction side ...

2011

Predicting involuntary hospitalization in psychiatry: A machine learning investigation

Mehdi Gholam

Background Coercion in psychiatry is a controversial issue. Identifying its predictors and their interaction using traditional statistical methods is difficult, given the large number of variables involved. The purpose of this study was to use machine-lear ...

CAMBRIDGE UNIV PRESS2021

Gastric insufflation during cardiopulmonary resuscitation: A study in human cadavers

Arnaud Loïc Roger Lesimple

Introduction: Bag-valve-mask ventilation is the first-line ventilation method during cardiopulmonary resuscitation (CPR). Risks include excessive volume delivery and gastric insufflation, the latter increasing the risk of pneumonia. The efficacy of ventila ...

2020

Anesthesia prevents auditory perceptual learning

Michael Herzog, Alain Farron, Carl Kristoffer Aberg

BACKGROUND: An auditory perceptual learning paradigm was used to investigate whether implicit memories are formed during general anesthesia. METHODS: Eighty-seven patients who had an American Society of Anesthesiologists physical status of I-III and were s ...

Lippincott, Williams & Wilkins2009

State Change Detection Using Multivariate Synchronization Measure from Physiological Signals

Martin Hasler, Cristian Carmeli

The cardiovascular system can be macro-modelled as a collection of coupled oscillators. Recently, the use of mutual couplings of these oscillators to characterize the state of the system during anaesthesia has been proposed. Assuming that the synchronizati ...

2006

State Change Detection using Multivariate Synchronization Measure from Physiological Signals

Martin Hasler, Cristian Carmeli

The cardiovascular system can be macro-modelled as a collection of coupled oscillators. Recently, the use of mutual couplings of these oscillators to characterize the state of the system during anaesthesia has been proposed. Assuming that the synchronizati ...

2006

A nation-wide initiative for brain imaging and clinical phenotype data federation in Swiss university memory centres

Jean-Philippe Thiran

Purpose of review ...

LIPPINCOTT WILLIAMS & WILKINS2019

Raspberry-Pi based system for propofol monitoring

Sandro Carrara, Danilo Demarchi, Francesca Stradolini, Tugba Kilic, Abuduwaili Tuoheti

Induction of anesthesia with propofol is a largely adopted technique in hospital environments. The correct dosage of this compound is essential to avoid under- or over-anesthesia that may result in serious side-effects. Therefore, in clinical settings, lon ...

ELSEVIER SCIENCE BV2018

Towards 3D facial morphometry : facial image analysis applications in anesthesiology and 3D spectral nonrigid registration

Gabriel Louis Cuendet

In anesthesiology, the detection and anticipation of difficult tracheal intubation is crucial for patient safety. When undergoing general anesthesia, a patient who is unexpectedly difficult to intubate risks potential life-threatening complications with po ...

EPFL2017

On The Robustness of a Neural Network

Rachid Guerraoui, El Mahdi El Mhamdi, Sébastien Louis Alexandre Rouault

With the development of neural networks based machine learning and their usage in mission critical applications, voices are rising against the \textit{black box} aspect of neural networks as it becomes crucial to understand their limits and capabilities. W ...

2017