A5064518648- Parkinson's Disease Mechanisms and Treatments
- Facial Trauma and Fracture Management
- Voice and Speech Disorders
- Traumatic Ocular and Foreign Body Injuries
- Balance, Gait, and Falls Prevention
- Dental Radiography and Imaging
- Surgical Simulation and Training
- Music and Audio Processing
- Dental Research and COVID-19
- Diabetic Foot Ulcer Assessment and Management
- Muscle activation and electromyography studies
- Medical Imaging and Analysis
- Speech and Audio Processing
- AI in cancer detection
- Orthodontics and Dentofacial Orthopedics
- Facial Nerve Paralysis Treatment and Research
- Autism Spectrum Disorder Research
- Anatomy and Medical Technology
- Craniofacial Disorders and Treatments
University Hospital of Basel
2022-2024
Iuliu Hațieganu University of Medicine and Pharmacy
2015-2024
Icahn School of Medicine at Mount Sinai
2024
Mount Sinai Beth Israel
2024
Ziekenhuisnetwerk Antwerpen Stuivenberg
2024
Antwerp University Hospital
2024
University of Antwerp
2024
University of Basel
2022
Parkinson's disease is a progressive neurodegenerative disorder caused by dopaminergic neuron degeneration. Parkinsonian speech impairment one of the earliest presentations and, along with tremor, suitable for pre-diagnosis. It defined hypokinetic dysarthria and accounts respiratory, phonatory, articulatory, prosodic manifestations. The topic this article targets artificial-intelligence-based identification from continuous recorded in noisy environment. novelty work twofold. First, proposed...
Parkinson’s disease (PD) is the second most common progressive neurodegenerative disorder, affecting 6.2 million patients and causing disability decreased quality of life. The research oriented nowadays toward artificial intelligence (AI)-based wearables for early diagnosis long-term PD monitoring. Our primary objective monitoring assessment gait in patients. We propose a wearable physiograph qualitative quantitative assessment, which performs bilateral tracking foot biomechanics unilateral...
Medical image segmentation, whether semi-automatically or manually, is labor-intensive, subjective, and needs specialized personnel. The fully automated segmentation process recently gained importance due to its better design understanding of CNNs. Considering this, we decided develop our in-house software compare it the systems established companies, an inexperienced user, expert as ground truth. companies included in study have a cloud-based option that performs accurately clinical routine...
Background: The current high standards in orthognathic surgery demand surgical solutions that are both functionally effective and aesthetically pleasing. Our approach offers one for enhanced stability, attractiveness, nerve protection with improved accessibility the majority of scenarios compared to an inverted L osteotomy. Methods: A case series is presented illustrate application outcomes HSSO, optimised combines advantages a transoral osteotomy specific enhancements increased...
This study aims at evaluating the reliability on specific multi-planar cone beam computer tomography (CBCT) reconstruction in orbital floor fractures.
Background: Parkinson’s disease (PD) has transitioned from a rare condition in 1817 to the fastest-growing neurological disorder globally. The significant increase cases 2.5 million 1990 6.1 2016, coupled with predictions of further doubling by 2040, underscores an impending healthcare challenge. This escalation aligns global demographic shifts, including rising life expectancy and growing population. economic impact, notably U.S., reached $51.9 billion 2017, projections suggesting 46% 2037,...
The reconstruction of orbital fracture sequelae is a major challenge due to concerns regarding surgical approach and implant stability. Few anatomical sites such minute size have presented with as much variation in treatment the floor fractures related sequelae. Our patient developed an over last 3 years, presenting dystopia, ophthalmoplegia, diplopia supra- lateroversion aesthetic impairment. variety materials for after extensive, decision which material use continues be debated. continuing...
Parkinson's disease is among the most common conditions faced by older people, which causes stiffness and slowing of movement. One manifestation disorder assumes a non-physiological walking pattern characterized flatfoot strike or toe-to-heel progression. This paper proposes method to identify using Convolutional Neural Networks classify ground reaction forces exerted during walking. Bilateral plantar pressure acquired three Aidong IMB C20B sensors for each foot. The training database...
Parkinson's disease (PD) is a progressive neurodegenerative disorder which affects 6.1million people worldwide and bears enormous financial implications. Trends to reduce the costs of PD management target early diagnosis are oriented towards wearables artificial intelligence support. This paper presents case study investigates applicability our previously developed small-size wearable physiograph with an AI-based assessment procedure provide intelligent decision support in PD. Our...