Dataset: 9.3K articles from Wikipedia (CC BY-SA).
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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 ‹ Fetal lung interstitial tumor risk

Mucinous cystadenocarcinoma of the lung – Prognosis and Survival

Lymphangioleiomyomatosis – Pregnancy

Lymphangioleiomyomatosis – Epidemiology

Mucinous cystadenocarcinoma of the lung – Incidence

Large-cell lung carcinoma with rhabdoid phenotype – Epidemiology

Giant-cell carcinoma of the lung – Prognosis

Fetal adenocarcinoma – Prognosis and survival

Pulmonary neuroendocrine tumor – Genetics

Pleuropulmonary blastoma – Genetics

Small-cell carcinoma – Epidemiology

Fetal adenocarcinoma – Incidence

Giant-cell carcinoma of the lung – Epidemiology

Large-cell lung carcinoma with rhabdoid phenotype – Prognosis

Combined small-cell lung carcinoma – Prognosis and survival

Epithelial-myoepithelial carcinoma of the lung – Incidence

Epithelial-myoepithelial carcinoma of the lung – Prognosis and Survival

Pleuropulmonary blastoma – Abstract

Lung tumor – Abstract

Small-cell carcinoma – Prognosis

Combined small-cell lung carcinoma – Incidence

Pulmonary neuroendocrine tumor – Abstract

Adenocarcinoma of the lung – Molecular biology | Gene mutations

Lewis lung carcinoma – Abstract

Adenocarcinoma of the lung – Epidemiology

Sacrococcygeal teratoma – Complications | Late effects