Maurice Henkel

ORCID: 0000-0002-7560-0938
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Artificial Intelligence in Healthcare and Education
  • Radiomics and Machine Learning in Medical Imaging
  • COVID-19 Clinical Research Studies
  • Clinical practice guidelines implementation
  • Long-Term Effects of COVID-19
  • Prostate Cancer Treatment and Research
  • AI in cancer detection
  • SARS-CoV-2 and COVID-19 Research
  • Health Systems, Economic Evaluations, Quality of Life
  • Electronic Health Records Systems
  • Cancer, Lipids, and Metabolism
  • COVID-19 diagnosis using AI
  • Patient-Provider Communication in Healthcare
  • Eosinophilic Esophagitis
  • COVID-19 and healthcare impacts
  • Respiratory viral infections research
  • Estrogen and related hormone effects
  • Cancer Diagnosis and Treatment
  • Innovations in Medical Education
  • Pneumothorax, Barotrauma, Emphysema
  • Liver Disease and Transplantation
  • Mycobacterium research and diagnosis
  • Gastrointestinal disorders and treatments
  • Medical Coding and Health Information
  • Machine Learning in Healthcare

University Hospital of Basel
2018-2025

University of Basel
2020-2023

Hospital Base
2021

Kantonsspital Baselland
2021

University of Lausanne
2020

University of Regensburg
2020

Case Western Reserve University
2020

Johannes Gutenberg University Mainz
2017

University Medical Center of the Johannes Gutenberg University Mainz
2017

Abstract Coronavirus Disease 19 (COVID-19) is a respiratory disease caused by severe acute syndrome coronavirus 2 (SARS-CoV-2), which has grown to worldwide pandemic with substantial mortality. Immune mediated damage been proposed as pathogenic factor, but immune responses in lungs of COVID-19 patients remain poorly characterized. Here we show transcriptomic, histologic and cellular profiles post mortem ( n = 34 tissues from 16 patients) normal lung 9 6 patients). Two distinct...

10.1038/s41467-020-18854-2 article EN cc-by Nature Communications 2020-10-08

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...

10.1148/ryct.2020200406 article EN Radiology Cardiothoracic Imaging 2020-11-19

Purpose Rising complexity of patients and the consideration heterogeneous information from various IT systems challenge decision-making process urological oncologists. Siemens AI Pathway Companion is a decision support tool that provides physicians with comprehensive patient systems. In present study, we examined impact providing organized in dashboards on quality, effectiveness, satisfaction clinical process. Methods Ten urologists our department performed entire diagnostic workup to...

10.1371/journal.pone.0271183 article EN cc-by PLoS ONE 2022-07-20

Coronavirus disease 2019 (COVID-19) mortality can be estimated based on reliable data. Variable testing procedures and heterogeneous course suggest that a substantial number of COVID-19 deaths is undetected. To address this question, we screened an unselected autopsy cohort for the presence SARS-CoV-2 panel common respiratory pathogens. Lung tissues from 62 consecutive autopsies, conducted during first second pandemic waves in Switzerland, were analyzed bacterial, viral fungal pathogens...

10.3389/fmed.2022.868954 article EN cc-by Frontiers in Medicine 2022-04-14

PurposeTo evaluate potential confounding factors in the quantitative assessment of liver fibrosis and cirrhosis using T1 relaxation times.MethodsThe study population is based on a radiology-information-system database search for abdominal MRI performed from July 2018 to April 2019 at our institution. After applying exclusion criteria 200 (59 ± 16 yrs) remaining patients were retrospectively included. 93 defined as liver-healthy, 40 without known or cirrhosis, 67 subjects had clinically...

10.1016/j.ejrad.2021.109789 article EN cc-by-nc-nd European Journal of Radiology 2021-05-23

Integration of digital pathology (DP) into clinical diagnostic workflows is increasingly receiving attention as new hardware and software become available. To facilitate the adoption DP, Swiss Digital Pathology Consortium (SDiPath) organized a Delphi process to produce series recommendations for DP integration within environments. This saw creation 4 working groups, focusing on various components system (1) scanners, quality assurance validation scans, (2) Whole Slide Image (WSI)-scanners...

10.1007/s00428-023-03712-5 article EN cc-by Virchows Archiv 2023-12-19

Abstract Coronavirus Disease 19 (COVID-19) is a respiratory disease caused by severe acute syndrome coronavirus 2 (SARS-CoV-2), which has grown to worldwide pandemic with substantial mortality. Immune mediated damage been proposed as pathogenic factor, but immune responses in lungs of COVID-19 patients remain poorly characterized. Therefore we conducted transcriptomic, histologic and cellular profiling post mortem (n=34 tissues from 16 patients) normal lung (n=9 6 patients). Two distinct...

10.1101/2020.06.17.20133637 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2020-06-19

Physicians spend an ever-rising amount of time to collect relevant information from highly variable medical reports and integrate them into the patient's health condition.We compared synoptic reporting based on data elements narrative in order evaluate its capabilities clinical information.We developed a novel system align integration requirements tested it prostate cancer screening. We expenditure time, quality, user satisfaction for acquisition, integration, evaluation.In total 26...

10.1159/000518381 article EN cc-by-nc Oncology 2021-01-01

You have accessJournal of UrologyCME1 Apr 2023MP77-12 CLINICAL DECISION MAKING IN PROSTATE CANCER CARE - EVALUATION OF A NOVEL GUIDELINE CONFORM SUPPORT SOFTWARE Christian Engesser, Maurice Henkel, Saskia Fassbind, Victor Alargkof, Joelle Studer, Manuel Walter, Anas Elyan, Carmen Eckert, Sarah Sutter, Severin Hofmann, Dugas Sarah, Johannes Helge Seifert, Aurelien Stalder, Bram Stieltjes, Philip Cornford, and Wetterauer EngesserChristian Engesser More articles by this author , HenkelMaurice...

10.1097/ju.0000000000003351.12 article EN The Journal of Urology 2023-03-23

Abstract Integration of digital pathology (DP) into clinical diagnostic workflows is increasingly receiving attention as new hardware and software become available. To facilitate the adoption DP, Swiss Digital Pathology Consortium (SDiPath) organized a Delphi process to produce series recommendations for DP integration within environments. This saw creation 4 working groups, focusing on various components system (1) Scanners, Quality Assurance Validation Scans, (2) WSI-scanners systems...

10.1101/2023.09.15.23295616 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2023-09-15

Die 49-jahrige Patientin berichtete uber ­einen vier Monate anhaltenden progredienten trockenen Husten, der sie initial nicht gestort hatte, aber jetzt zunahme.

10.4414/smf.2018.03364 article DE Swiss Medical Forum ‒ Schweizerisches Medizin-Forum 2018-10-31

10.4414/fms.2018.03364 article DE Forum Médical Suisse ‒ Swiss Medical Forum 2018-10-31

Abstract Immune responses in lungs of Coronavirus Disease 2019 (COVID-19) are poorly characterized. We conducted transcriptomic, histologic and cellular profiling post mortem COVID-19 normal lung tissues. Two distinct immunopathological reaction patterns were identified. One pattern showed high expression interferon stimulated genes (ISGs) cytokines, viral loads limited pulmonary damage, the other severely damaged lungs, low ISGs, abundant immune infiltrates. Distinct correlated to...

10.21203/rs.3.rs-37729/v1 preprint EN cc-by Research Square (Research Square) 2020-07-24

Abstract Introduction Physicians spend more than half of their workday interacting with health information systems to care for patients. Effective data management that provides physicians comprehensive patient from various is required ensure high quality clinical decision making. Objectives We evaluated the impact a novel, CE-certified support tool on physician’s effectiveness and satisfaction in decision-making process. Methods Using pre-therapeutic prostate cancer cases, we compared...

10.21203/rs.3.rs-644868/v1 preprint EN cc-by Research Square (Research Square) 2021-07-09

Development of supervised AI algorithms requires a large amount labeled images. Image labelling is both time-consuming and expensive. Therefore, we explored the value e-learning derived annotations for algorithm development in medical imaging. Methods We have developed an platform that involves image-based single click as part educational learning process. Ten radiology residents, their residency training, trained recognition pneumothorax on 1161 chest X-rays posterior-anterior projection....

10.20944/preprints202108.0564.v1 preprint EN 2021-08-31
Coming Soon ...