KI in der Medizin
Künstliche Intelligenz und maschinelles Lernen in der medizinischen Forschung, Diagnostik und Therapie.
Die Forschung zu Künstlicher Intelligenz in der Medizin wächst rasant und verändert die Art, wie Krankheiten diagnostiziert und behandelt werden. Von der automatisierten Befundung über klinische Entscheidungsunterstützung bis hin zur personalisierten Therapie – KI-Systeme zeigen vielversprechende Ergebnisse in zahlreichen medizinischen Fachbereichen. Diese Seite fasst die aktuellsten und meistzitierten Forschungsarbeiten zusammen und zeigt, welche Institutionen und Forscher das Feld prägen.
Top 10 – Meistzitierte Papers
Top 2026von 63.245 Papers
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.197 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.047 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.410 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.410 Zit.
Systematic review of research on artificial intelligence applications in higher education – where are the educators?
2019 · 4.408 Zit.
Artificial intelligence in healthcare: past, present and future
2017 · 4.376 Zit.
A guide to deep learning in healthcare
2018 · 4.222 Zit.
ChatGPT for good? On opportunities and challenges of large language models for education
2023 · 4.214 Zit.
Machine Learning in Medicine
2019 · 3.584 Zit.
Top 10 – Neueste Papers
zuletzt veröffentlicht
Development of an Advanced Artificial Intelligence-based Model (Deep Business Analytics) for Managing and Improving Control and Decision Making in Modern Organisations: Application in a Hospital Clinical Laboratory
2029-01-01 · 0 Zit.
REVOLUTION OR RISK? ASSESSING CHATGPT'S INFLUENCE ON UNDERGRADUATE STUDENTS
2026-12-15 · 0 Zit.
REVOLUTION OR RISK? ASSESSING CHATGPT'S INFLUENCE ON UNDERGRADUATE STUDENTS
2026-12-15 · 0 Zit.
AI for Epigenetics
2026-10-25 · 0 Zit.
Applied Machine Learning for CNS Clinical Trial Risk Assessment: An Interpretable Framework with an ALS Case Study
2026-09-01 · 0 Zit.
Applied Machine Learning for CNS Clinical Trial Risk Assessment: An Interpretable Framework with an ALS Case Study
2026-09-01 · 0 Zit.
Global Perspectives on Generative AI in Higher Education: Comparative Analysis of Ethical Adoption, Policy, and Stakeholder Roles
2026-07-05 · 0 Zit.
A Risk–Utility Optimization Framework for Governing Large Language Model Responses
2026-06-30 · 0 Zit.
Synthetic Moral Agents or Sophisticated Mimics?
2026-06-30 · 0 Zit.
Epistemic Injustice in Generative AI: Probabilistic Generation, Trust Erosion, and the Structural Conditions of Algorithmic Knowledge Harm
2026-06-30 · 0 Zit.
Top 8 Autoren
von 127.971 Autoren insgesamt
Viroj Wiwanitkit
Chandigarh University
www.rasitdinc.com
Design Intelligence (United States)
Nan Liu
Qingdao University
Girish N. Nadkarni
Icahn School of Medicine at Mount Sinai
Abdulqadir J. Nashwan
Qatar Airways (Qatar)
Hinpetch Daungsupawong
Chandigarh University
Raşit Dinç
United States Agency for International Development
Gary S. Collins
University Hospitals Birmingham NHS Foundation Trust
Top 8 Institutionen
von 1.011 Institutionen insgesamt
University of Jordan
JO
Chandigarh University
IN
Izmir University
TR
Sharda University
IN
Datta Meghe Institute of Higher Education and Research
IN
Amity University
AE
Alfaisal University
SA
University of Health Sciences Antigua
AG