Charité - Universitätsmedizin Berlin

Type

Healthcare

Country

Germany

DE

ROR

001w7jn25

not unique to one org

OpenAlex

I7877124

the anchor

Documents

424

through any edge

Papers

424

authorship edges

Awards made

Named as funder

Papers

Documents in the 44B Library with Charité - Universitätsmedizin Berlin on the authorship, newest first.

2026-07-27 · 70 authors here

An explainable transformer model learning from entire treatment timelines for pan-cancer risk profiling across healthcare systems

2026-07-23 · 2 authors here

From observation to evidence: harnessing the mental status examination as a real-world data source in clinical research

2026-07-21 · 9 authors here

Scoping Review of Robot-Assisted Meal Delivery in Hospitals and Nursing Homes: Systems, Settings, Outcomes, and Implementation Factors

2026-07-21 · 9 authors here

Scoping Review of Robot-Assisted Meal Delivery in Hospitals and Nursing Homes: Systems, Settings, Outcomes, and Implementation Factors

2026-07-09 · 3 authors here

Wenn KI „mitentscheidet“. Ethische Überlegungen zu Shared Decision-Making in der psychotherapeutisch-psychiatrischen Behandlung

2026-07-08 · 20 authors here

Large language models enable prognostic stratification of cancer patients using real-world clinical notes

2026-07-07 · 8 authors here

Evaluating the quality of tabular synthetic data in health care

2026-07-06 · 8 authors here

Large language models are powerful electronic health record encoders

2026-07-02 · 4 authors here

Physician epistemic framing alters the accuracy of large language models for medical second opinions

2026-06-29 · 8 authors here

KoRob: A Berlin-Brandenburg Research Network for Social Robotics and Health Informatics in Transition Societies

2026-06-26 · 5 authors here

Calibration of Self-Reported Confidence and Accuracy of Large Language Models in Medical Question Answering

2026-06-26 · 11 authors here

Supporting Radiology Resident Education and Clinical Decision-Making With Large Language Models: Comparative Study of Reasoning Models DeepSeek-R1 and ChatGPT-o1

2026-06-22 · 9 authors here

The Human Oversight approaches at the forefront of responsible and trustworthy AI, from data-centric adaptive AI-Ops pipelines to Multi-Agent Systems

2026-06-22 · 9 authors here

The Human Oversight approaches at the forefront of responsible and trustworthy AI, from data-centric adaptive AI-Ops pipelines to Multi-Agent Systems

2026-06-17 · 19 authors here

Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology

2026-06-12 · 4 authors here

Training Empathetic Communication Skills in Medical Students With a Role-Prompted GPT-4o Chatbot: Quasi-Experimental Intervention Study

2026-06-11 · 12 authors here

Towards robust foundation models for digital pathology

2026-06-10 · 10 authors here

ChatGPT in healthcare: perceptions, ethical considerations, and practice implications among healthcare professionals in Ecuador and other countries in the Americas: a cross-sectional survey study

2026-06-05 · 12 authors here

The Multimodal Anonymizer: a fully local multi-agent AI system for medical data deidentification

2026-05-30 · 15 authors here

GIN‐McMaster Guideline Development Checklist Extension for Integrating Artificial Intelligence in the Health Guideline Enterprise

2026-05-30 · 11 authors here

Explainable artificial intelligence in prostate cancer treatment recommendation: A decision support system for oncological expert panels

2026-05-21 · 11 authors here

Interpretable Feature Extraction from Clinical Notes for Sepsis Prediction: Comparing Rule-Based, LLM, and Hybrid Approaches

2026-05-21 · 5 authors here

Extracting Clinical Recommendations from Oncology Guidelines: An Exploratory Comparison of Automated Approaches

2026-05-21 · 4 authors here

Physicians’ Perspectives on Predictive Uncertainty in Machine Learning Models

2026-05-21 · 3 authors here

Real-Time Anonymization and Data Minimization of Vital Signs for Clinical Decision Support Systems and Analytics

Showing 25 of 424 on record.

Funding

Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.

Who funds this work

Funders named on the papers above. The record holds no recipient field, so this is reached through the documents themselves — and the two columns are two different claims, kept apart.

© 2026 NYSGPTLast Updated: August 5, 2026