Dataset: 9.3K articles from Wikipedia (CC BY-SA).
More datasets: Wikipedia | CORD-19

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Made by DATEXIS (Data Science and Text-based Information Systems) at Beuth University of Applied Sciences Berlin

Deep Learning Technology: Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers and Alexander Löser. Learning Contextualized Document Representations for Healthcare Answer Retrieval. The Web Conference 2020 (WWW'20)

Funded by The Federal Ministry for Economic Affairs and Energy; Grant: 01MD19013D, Smart-MD Project, Digital Technologies

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Results for Query ‹ Ameloblastic carcinoma screening

Carcinoma – Epidemiology

Carcinoma – Diagnosis

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Merkel-cell carcinoma – Diagnosis

Epithelial-myoepithelial carcinoma of the lung – Staging

Giant-cell carcinoma of the lung – Treatment

Giant-cell carcinoma of the lung – Prognosis

Invasive carcinoma of no special type – Prognosis

Glassy cell carcinoma of the cervix – Diagnosis

NUT midline carcinoma – Pathology

Merkel-cell carcinoma – Epidemiology

Ceruminous adenocarcinoma – Differential diagnoses

Atypical ductal hyperplasia – Pathology | Relation to low-grade ductal carcinoma in situ

Atypical ductal hyperplasia – Prognosis | Cancer risk for ADH on a core biopsy

NUT midline carcinoma – Prognosis

Basal-cell carcinoma – Treatment

Basal-cell carcinoma – Prognosis

Tonsil carcinoma – Diagnosis | Staging | T Staging

Sebaceous carcinoma – Treatment

Invasive carcinoma of no special type – Diagnosis | Clinical staging

Pulmonary neuroendocrine tumor – Diagnosis

Tonsil carcinoma – Diagnosis | Staging | M staging

Renal medullary carcinoma – Diagnosis

Non-small-cell lung carcinoma – Staging

Pulmonary neuroendocrine tumor – Genetics