Type
Healthcare
Country
Switzerland
CH
Documents
95
through any edge
Papers
95
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with University Hospital of Basel on the authorship, newest first.
2026-07-15 · 3 authors here
The Role of Large Language Models in Hormonal Contraception Consultation
2026-07-04 · 20 authors here
AI-enabled clinical decision support in breast cancer care: a blinded multicenter benchmarking study comparing medically specialized with a general-purpose system
2026-07-01 · 21 authors here
Global Roll‐Out and Continued Multi‐Site Validation of the Artificial Intelligence Histology Instrument for Qualitative Assessment of Histopathology in Ulcerative Colitis
2026-05-29 · 20 authors here
Towards an accessible, centralised, searchable database for AI courses in Europe: the Artificial Intelligence in Medical Imaging and Radiation Oncology Education (AIMIROE) project
2026-05-29 · 20 authors here
Additional file 1 of Towards an accessible, centralised, searchable database for AI courses in Europe: the Artificial Intelligence in Medical Imaging and Radiation Oncology Education (AIMIROE) project
2026-05-29 · 20 authors here
Additional file 1 of Towards an accessible, centralised, searchable database for AI courses in Europe: the Artificial Intelligence in Medical Imaging and Radiation Oncology Education (AIMIROE) project
2026-05-25 · 21 authors here
Assessing Foundation Models for Computational Pathology in Endometrial Cancer
2026-05-20 · 51 authors here
Multi-modal AI for comprehensive breast cancer prognostication
2026-05-20 · 4 authors here
Applications of large language models in tumor boards: a systematic review
2026-04-23 · 4 authors here
The Role of Large Language Models in the Promotion of Minimally Invasive Interventional Radiologic Methods in Gynecology and Obstetrics
2026-04-13 · 7 authors here
Assessing ChatGPT's capability in understanding and reporting antiretroviral therapy drug–drug interactions (ACCURATE-DDI)
2026-02-19 · 22 authors here
Stakeholder-centered Design of Explainable AI for MRI analysis in Multiple Sclerosis: Generative insights toward clinical integration
2026-02-19 · 22 authors here
Stakeholder-centered Design of Explainable AI for MRI analysis in Multiple Sclerosis: Generative insights toward clinical integration
2026-02-02 · 8 authors here
Instance-level quantitative saliency in multiple sclerosis lesion segmentation
2026-01-26 · 5 authors here
Integrating artificial intelligence ( <scp>AI</scp> ) into colorectal cancer reporting
2026-01-01 · 9 authors here
Agentic AI in Radiology: Evolution from Large Language Models to Future Clinical Integration.
2025-12-30 · 14 authors here
Data Extraction from Oncology Imaging Reports by Large Language Models: A Comparative Accuracy Study
2025-12-22 · 88 authors here
PARROT, an open multilingual radiology reports dataset
2025-12-22 · 43 authors here
Performance of large language models in addressing patient queries on colorectal cancer screening in different languages: An international study across 28 countries
2025-12-22 · 5 authors here
Classpose drives the discovery of colorectal cancer phenotypes in clinical grade whole slide images
2025-12-18 · 11 authors here
Medical Telediagnoses in Countries with Limited Resources: Comparison of A General Generative AI System with A Clinical Decision Support System
2025-11-19 · 10 authors here
Economic Value of AI in Radiology: A Systematic Review
2025-11-17 · 4 authors here
Promoting xenomorphic patient-facing AIs: The case against anthropomorphism in medical AIs
2025-10-08 · 67 authors here
Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer
2025-10-01 · 6 authors here
From claims to care: Machine learning algorithm to classify urinary tract infection cases using Swiss health insurance data
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.
Under a named grant
funding_awards — the award carries a grant number
Listed as funder
doc_funder_links — named, with no grant number