A5064480472- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
- Atomic and Subatomic Physics Research
- Medical Imaging Techniques and Applications
- Lung Cancer Diagnosis and Treatment
- MRI in cancer diagnosis
- Cardiac Imaging and Diagnostics
- COVID-19 diagnosis using AI
- Cystic Fibrosis Research Advances
- Corneal surgery and disorders
- Cardiac Valve Diseases and Treatments
- COVID-19 Clinical Research Studies
- Aortic aneurysm repair treatments
- Intraocular Surgery and Lenses
- Aortic Disease and Treatment Approaches
- Cardiovascular Function and Risk Factors
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Coronary Artery Anomalies
- Tuberculosis Research and Epidemiology
- Vasculitis and related conditions
- Cardiac Arrhythmias and Treatments
- Corneal Surgery and Treatments
- Sepsis Diagnosis and Treatment
- Artificial Intelligence in Healthcare and Education
- Ophthalmology and Eye Disorders
Hospital Base
2012-2024
University Hospital of Basel
2014-2024
University of Basel
2012-2024
Hirslanden Klinik St. Anna
2022-2024
Faculty of 1000 (United States)
2023
Burlington College
2023
RELX Group (United States)
2023
Zero to Three
2018
German Cancer Research Center
2012-2014
Heidelberg University
2012-2014
A dysregulated immune response with hyperinflammation is observed in patients severe coronavirus disease 2019 (COVID-19). The aim of the present study was to assess safety and potential benefits human recombinant C1 esterase inhibitor (conestat alfa), a complement, contact activation kallikrein-kinin system regulator, COVID-19. Patients evidence progressive after 24 h including an oxygen saturation <93% at rest ambient air were included University Hospital Basel, Switzerland April 2020....
Objective: To assess the diagnostic performance of a deep learning-based algorithm for automated detection acute and chronic rib fractures on whole-body trauma CT. Materials Methods:We retrospectively identified all CT scans referred from emergency department our hospital January to December 2018 (n = 511).Scans were categorized as positive 159) or negative 352) according clinically approved written reports, which served index test.The bone kernel series (1.5-mm slice thickness) an input...
Lung function tests are commonly used to monitor lung disease in cystic fibrosis (CF). While practical, they cannot locate the exact origin of functional impairment. Contemporary magnetic resonance imaging (MRI) techniques provide information on location but need for contrast agents constrains their repeated application. We examined correlation between MRI, performed without administration agent, and clearance index (LCI) from nitrogen multiple-breath washout (N 2 -MBW). 40 children with CF...
ObjectivesRapid communication of CT exams positive for pulmonary embolism (PE) is crucial timely initiation anticoagulation and patient outcome. It unknown if deep learning automated detection PE on Pulmonary Angiograms (CTPA) in combination with worklist prioritization an electronic notification system (ENS) can improve times turnaround the Emergency Department (ED).MethodsIn 01/2019, ENS allowing direct between radiology ED was installed. Starting 10/2019, CTPAs were processed by a...
In settings with high tuberculosis (TB) endemicity, distinct genotypes of the Mycobacterium complex (MTBC) often differ in prevalence. However, factors leading to these differences remain poorly understood. Here we studied MTBC population Dar es Salaam, Tanzania over a six-year period, using 1,082 unique patient-derived whole-genome sequences (WGS) and associated clinical data. We show that TB epidemic Salaam is dominated by multiple introduced from different parts world during last 300...
Accurate segmentations in medical images are the foundations for various clinical applications. Advances machine learning-based techniques show great potential automatic image segmentation, but these usually require a huge amount of accurately annotated reference training. The guiding hypothesis this paper was that crowd-algorithm collaboration could evolve as key technique large-scale data annotation. As an initial step toward goal, we evaluated performance untrained individuals to detect...
Rationale: Primary ciliary dyskinesia (PCD) is an inherited disorder characterized by heterogeneous airway disease. Traditional lung function techniques (e.g., spirometry) may underestimate severity and complexity of PCD.Objectives: We assessed impairment in individuals with PCD using structural functional magnetic resonance imaging (MRI) different techniques.Methods: A total 30 study participants (median, 13.4 yr; range, 5–28 yr) underwent MRI, spirometry, multiple breath washout (MBW) on...
A next-generation medium-energy gamma-ray telescope targeting the MeV range would address open questions in astrophysics regarding how extreme conditions accelerate cosmic-ray particles, produce relativistic jet outflows, and more. One concept, AMEGO-X, relies upon mission-enabling CMOS Monolithic Active Pixel Sensor silicon chip AstroPix. AstroPix is designed for space-based use, featuring low noise, power consumption, high scalability. Desired performance of device include an energy...
Purpose The purpose of this retrospective study was to correlate CT patterns fatal cases coronavirus disease 2019 (COVID-19) with postmortem pathology observations. Materials and Methods included 70 lung lobes 14 patients who died reverse-transcription polymerase chain reaction–confirmed COVID-19. All underwent antemortem autopsy between March 9 April 30, 2020. Board-certified radiologists pathologists performed lobewise correlations pulmonary In a consensus reading, 267 radiologic 257...
Radiotherapy, preferably combined with chemotherapy, is the treatment standard for locally advanced, unresectable non-small cell lung cancer (NSCLC). The tumor response to different therapy protocols variable, hypoxia known be a major factor that negatively influences effectiveness. Visualisation of prior use modern radiation strategies, such as intensity modulated (IMRT), might allow optimized dose applications target volume, leading improvement outcome. 18 F-fluoromisonidazole dynamic...
During the emerging COVID-19 pandemic, radiology departments faced a substantial increase in chest CT admissions coupled with novel demand for quantification of pulmonary opacities. This article describes how our clinic implemented an automated software solution this purpose into established platform 10 days. The underlying hypothesis was that modern academic centers are capable developing and implementing such tools by their own efforts fast enough to meet rapidly increasing clinical needs...
Abstract Objectives To develop and test a Retina U-Net algorithm for the detection of primary lung tumors associated metastases all stages on FDG-PET/CT. Methods A data set consisting 364 FDG-PET/CTs patients with histologically confirmed cancer was used development internal testing. The comprised stages. All (T), lymphatic (N), distant (M) were manually segmented as 3D volumes using whole-body PET/CT series. split into training ( n = 216), validation 74), 74). Detection performance lesion...
Automated detection and segmentation is a prerequisite for the deployment of image-based secondary analyses, especially lung tumors. However, currently only applications nodules ≤3 cm exist. Therefore, we tested performance fully automated AI-based nodule algorithm 3D primary tumors in context tumor staging using CT component FDG-PET/CT including all T-categories (T1–T4). FDG-PET/CTs 320 patients with histologically confirmed cancer performed between 01/2010 06/2016 were selected. First,...
OBJECTIVE: To extract pulmonary and cardiovascular metrics from chest CTs of patients with coronavirus disease 2019 (COVID-19) using a fully automated deep learning-based approach assess their potential to predict patient management. MATERIALS AND METHODS: All initial who tested positive for severe acute respiratory syndrome 2 at our emergency department between March 25 April 25, 2020, were identified (n = 120). Three management groups defined: group 1 (outpatient), (general ward), 3...