Publications associées à Relation médecin-patient

A Tunable Self-Offloading Module for Plantar Pressure Regulation in Diabetic Patients

Yves Perriard, Yoan René Cyrille Civet, Paolo Germano, Christian Köchli, Sofia Lydia Ntella, Kenny Jeanmonod, Bhawnath Tiwari

Plantar pressure plays a crucial role in the pathogenesis of foot ulcers among patients with diabetes and peripheral polyneuropathy. Pressure relief is a key requirement for both the prevention and treatment of plantar ulcers. Conventional medical practice ...

2024

Apparatus for non-invasively computing cardio-vasculature parameters using morphology of uncalibrated pressure wave signal

Nikolaos Stergiopoulos, Georgios Rovas, Vasiliki Bikia

Systems and apparatus are provided for using a non-invasively monitored uncalibrated pressure signal from a patient to compute cardiac output and other cardio-vascular parameters, thereby providing safe, effective, reliable and low cost monitoring of patie ...

2024

Immersive VR for upper-extremity rehabilitation in patients with neurological disorders: a scoping review

Silvestro Micera, Elena Losanno

Background Neurological disorders, such as stroke and chronic pain syndromes, profoundly impact independence and quality of life, especially when affecting upper extremity (UE) function. While conventional physical therapy has shown effectiveness in provid ...

BioMed Central2024

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

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

Silvestro Micera, Sara Mazzucato

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

Rapid low-cost hyperspectral imaging system for quantitative assessment of infantile hemangioma

Viktor Vorobev

Hemangioma, the predominant benign tumor occurring in infancy, exhibits a wide range of prognoses and associated outcomes. The accurate determination of prognosis through noninvasive imaging modalities holds essential importance in enabling effective perso ...

Wiley-V C H Verlag Gmbh2023

Targeting the Progesterone Receptor in Breast Cancer: Mind the Short Form!

Cathrin Brisken, Carlos Henrique Venturi Ronchi

The presurgical window of opportunity trial (WOT) MIPRA provides evidence that neoadjuvant treatment with the prog-esterone receptor (PR) antagonist mifepristone (RU486) may benefit patients with estrogen receptor-positive (ER+) breast cancer characterized ...

AMER ASSOC CANCER RESEARCH2023

Plasma biomarkers for Alzheimer's disease: a field-test in a memory clinic

Aurélien Lathuilière

Background The key Alzheimer's disease (AD) biomarkers are traditionally measured with techniques/exams that are either expensive (amyloid-positron emission tomography (PET) and tau-PET), invasive (cerebrospinal fluid A beta 42 and p-tau 181), or poorly sp ...

BMJ PUBLISHING GROUP2023

Monitoring of Protein and pH Levels in Human Biofluids using FD-SOI Silicon Nanowire Arrays

Luca Capua

Medical research and technological advancements are heading towards tailored healthcare approaches that prioritize individual needs, allowing for more accurate diagnoses, more effective treatments, and better patient outcomes overall. One such approach is ...

EPFL2023

How I became myself after merging with a computer: Does human-machine symbiosis raise human rights issues?

Marcello Ienca

Novel usages of brain stimulation combined with artificially intelligent (AI) systems promise to address a large range of diseases. These new conjoined technologies, such as brain-computer interfaces (BCI), are increasingly used in experimental and clinica ...

ELSEVIER SCIENCE INC2023

Medical and Personal Characteristics Can Predict the Risk of Lung Metastasis

Michele De Palma, Nahal Mansouri

Aims: Understanding the correlations between underlying medical and personal characteristics of a patient with cancer and the risk of lung metastasis may improve clinical management and outcomes. We used machine learning methodologies to predict the risk o ...

2023

Self-Supervised Learning for Patient Stratification and Survival Analysis in Computational Pathology: An Application to Colorectal Cancer

Christian Robert Abbet

Over the years, clinical institutes accumulated large amounts of digital slides from resected tissue specimens. These digital images, called whole slide images (WSIs), are high-resolution tissue snapshots that depict the complex interaction of cells at the ...

EPFL2023

Re-focusing explainability in medicine

Using artificial intelligence to improve patient care is a cutting-edge methodology, but its implementation in clinical routine has been limited due to significant concerns about understanding its behavior. One major barrier is the explainability dilemma a ...

2022

Steps parameters of elderly patients hospitalised for an acute medical illness in a Swiss University Hospital: an observational pilot study

Anisoara Ionescu, Francesco Tommasini

BACKGROUND: Objective mobility goals for elderly hospitalised medical patients remain debated. We therefore studied steps parameters of elderly patients hospitalised for an acute illness, to determine goals for future interventional trials and medical prac ...

SMW supporting association2022

Misplaced Trust and Distrust: How Not to Engage with Medical Artificial Intelligence

Marcello Ienca

Artificial intelligence (AI) plays a rapidly increasing role in clinical care. Many of these systems, for instance, deep learning-based applications using multilayered Artificial Neural Nets, exhibit epistemic opacity in the sense that they preclude compre ...

CAMBRIDGE UNIV PRESS2022

System for moving a patient

Charles Baur, Loïc Benoît Tissot-Daguette, Hubert Pierre-Marie Benoît Schneegans, Marine Chantal Elisabeth Geneviève Clogenson, Lisa Anaïs Jeanne Bonnefoy

The invention relates to a system (13) for moving a lying patient (P) from a first position to a second position according to a controlled motion comprising a back sheet, a front sheet, each comprising two lateral edges (L1, L2). The system (13) comprises ...

2022

Improving the efficiency of identifying malignant pulmonary nodules before surgery via a combination of artificial intelligence CT image recognition and serum autoantibodies

Jiancheng Yang, Yi Ding, Zhen Gao

ObjectiveTo construct a new pulmonary nodule diagnostic model with high diagnostic efficiency, non-invasive and simple to measure. MethodsThis study included 424 patients with radioactive pulmonary nodules who underwent preoperative 7-autoantibody (7-AAB) ...

SPRINGER2022

Implanted System for Orthostatic Hypotension in Multiple-System Atrophy

Grégoire Courtine, Léonie Asboth, Jocelyne Bloch, Robin Jonathan Demesmaeker, Jordan Squair, Grégory Didier Dumont, Nicolas Hankov, Sergio Daniel Hernandez, Suje Amir, Maxime Berney

Orthostatic hypotension is a cardinal feature of multiple-system atrophy. The upright posture provokes syncopal episodes that prevent patients from standing and walking for more than brief periods. We implanted a system to restore regulation of blood press ...

MASSACHUSETTS MEDICAL SOC2022

Deep learning-based analysis of multiple sclerosis lesions with high and ultra-high field MRI

Francesco La Rosa

Multiple sclerosis (MS) is the most common demyelinating disease of the central nervous system and affects almost 3 million people worldwide. There is currently no cure for MS, and its symptoms, starting with fatigue and weakness, often progress over time ...

EPFL2022

Monocyte-derived macrophages aggravate pulmonary vasculitis via cGAS/STING/IFN-mediated nucleic acid sensing

Andrea Ablasser

Kessler et al. identify aberrant DNA recognition by cGAS/STING and IFN-I production by inflammatory macrophages as a driver of severe ANCA-associated vasculitis. Pharmacological interventions blocking this pathway ameliorate disease and accelerate recovery ...

ROCKEFELLER UNIV PRESS2022