Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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977 Locations available

693.932 PEOPLE
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2023Deep learning-based image registration in dynamic myocardial perfusion CT imaging14citations
  • 2023ChatGPT in Medicine: Ark of the Covenant or Pandora’s Box? Present status and future perspectives: how, what, who and where? (Preprint)citations
  • 2023Fully Printed Flexible Ultrasound Transducer for Medical Applications15citations
  • 2022Best Research Papers in the Field of Sensors, Signals, and Imaging Informatics 20213citations
  • 2021Investigation of materials and morphologies on signal qualities of a fully printed tattoo single channel PVDF transducercitations
  • 2021Notable Papers and New Directions in Sensors, Signals, and Imaging Informatics6citations
  • 2017A new input device for spastics based on strain gauge1citations

Places of action

Chart of shared publication
Maksudov, Muzaffar
1 / 1 shared
Rienmüller, Rainer
1 / 1 shared
Makarenko, Vladimir N.
1 / 1 shared
Rienmüller, Theresa
1 / 1 shared
Bockeria, Olga L.
1 / 1 shared
Reyna, Favio
1 / 1 shared
Baumgartner, Daniela
1 / 1 shared
Juárez, Ivan
1 / 1 shared
Pérez, Michaelle
1 / 1 shared
Hernandez, Karen Andrea Lara
1 / 1 shared
Chejfec-Ciociano, Jonathan Matias
1 / 1 shared
Gosak, Lucija
1 / 1 shared
Manohar, Naveen
1 / 1 shared
Prasad, Shruthi
1 / 1 shared
Verhoeven, Veronique
1 / 2 shared
Stiglic, Gregor
1 / 1 shared
Marín-Castañeda, Luis A.
1 / 1 shared
Fijačko, Nino
1 / 1 shared
Greco, Francesco
1 / 4 shared
Leitner, Christoph
2 / 2 shared
Keller, Kirill
2 / 4 shared
Benini, Luca
1 / 2 shared
Deserno, Thomas
1 / 1 shared
Scharfetter, Hermann
1 / 3 shared
Thurner, Stephan
1 / 1 shared
Buchhold, Niels
1 / 1 shared
Chart of publication period
2023
2022
2021
2017

Co-Authors (by relevance)

  • Maksudov, Muzaffar
  • Rienmüller, Rainer
  • Makarenko, Vladimir N.
  • Rienmüller, Theresa
  • Bockeria, Olga L.
  • Reyna, Favio
  • Baumgartner, Daniela
  • Juárez, Ivan
  • Pérez, Michaelle
  • Hernandez, Karen Andrea Lara
  • Chejfec-Ciociano, Jonathan Matias
  • Gosak, Lucija
  • Manohar, Naveen
  • Prasad, Shruthi
  • Verhoeven, Veronique
  • Stiglic, Gregor
  • Marín-Castañeda, Luis A.
  • Fijačko, Nino
  • Greco, Francesco
  • Leitner, Christoph
  • Keller, Kirill
  • Benini, Luca
  • Deserno, Thomas
  • Scharfetter, Hermann
  • Thurner, Stephan
  • Buchhold, Niels
OrganizationsLocationPeople

document

ChatGPT in Medicine: Ark of the Covenant or Pandora’s Box? Present status and future perspectives: how, what, who and where? (Preprint)

  • Chejfec-Ciociano, Jonathan Matias
  • Gosak, Lucija
  • Manohar, Naveen
  • Prasad, Shruthi
  • Verhoeven, Veronique
  • Stiglic, Gregor
  • Marín-Castañeda, Luis A.
  • Fijačko, Nino
  • Baumgartner, Christian
Abstract

<sec><title>BACKGROUND</title><p>ChatGPT, an artificial intelligence chatbot developed by OpenAI has ushered in a new era of possibilities, offering exciting opportunities for natural language processing in healthcare; it marks a clear paradigm shift in academic research, patient care, and clinical communication. However, a hurried and uninformed implementation of ChatGPT in healthcare settings can have unforeseen results.</p></sec><sec><title>OBJECTIVE</title><p>The objective of this study is to discuss and provide a comprehensive summary of the existing literature on ChatGPT based on insights derived from different research teams across diverse disciplines, focusing on the main applications in medicine as conceived by authors who have published on the subject. Furthermore, we seek to address potential concerns associated with the integration of ChatGPT in the medical field, while simultaneously opening up unexplored paths.</p></sec><sec><title>METHODS</title><p>The corresponding author selected a group of authors through an initial screening of papers published on ChatGPT from various databases. Based on the replies and their level of cooperation, a dozen authors were chosen for the study and included based on their cooperation and geographic representation. We conducted a comprehensive search across databases, including Web of Science, PubMed, and Scopus. The study followed the PRISMA guidelines for screening and selection. Analysis was performed on the selected articles (n=223), categorizing them based on article type, specialty, and specific role discussed. Descriptive statistics were calculated, and bibliometric analyses were conducted using VOSviewer.</p></sec><sec><title>RESULTS</title><p>We identified 223 peer-reviewed articles. Writing assistance emerged as the most widely discussed role of ChatGPT. The rest of the roles included: general use (16%, n=35), education tool (17%, n=37), solution and discussion of clinical vignettes (15%, n=34), valuing and predicting future impact (7%, n=15), information source (5%, n=12), and as a discussion forum about ethical issues (6%, n=14). To detect any difference in usage across continents, a chi-square test for distribution of categorical variables was carried out and yielded a p-value of P=0.56, in article type. Regarding specialty and the role of ChatGPT, the p-values were P=0.86 and P=0.87, respectively. We found no significant association between a specific geographic location and the distribution of any of the variables.</p></sec><sec><title>CONCLUSIONS</title><p>This study provides a comprehensive overview of the literature on ChatGPT, revealing its diverse range of applications as observed across different disciplines. By examining the concerns surrounding the integration of ChatGPT in medicine, we underscore the importance of responsible implementation and highlight the need for ongoing research and development in this area. Ultimately, this work opens new perspectives for the detection of unexplored paths and the realization of ChatGPT's potential in enhancing various domains, including medicine.</p></sec>

Topics
  • impedance spectroscopy
  • size-exclusion chromatography