The current funding landscape of medical artificial intelligence research projects: an analysis of national natural science foundation of China from 2015 to 2019 / 中华放射学杂志

Objective:To investigate the current funding landscape of medical artificial intelligence (AI) projects in National Natural Science Foundation of China (NSFC) from 2015 to 2019.Methods:From 2015 to 2019, AI-related projects in NSFC Medical Science Department were collected. Comprehensive analysis was performed in the projects information including year, title, supporting institution, fund type, research findings, etc.Results:NSFC has funded a total of 278 projects related to artificial intelligence, with the total funding amount of 139 million yuan. The number of projects and the funding amount were increasing year by year. Among these, 90% (249/278) were general programs and young scientist funds; 53% (148/278) of the projects were regionally distributed in Beijing, Shanghai and Guangdong; 66% (184/278) of the projects were imaging-related researches; the projects mainly focused on diseases with high incidence in China, including neoplastic diseases, cardiovascular and nervous system diseases.Conclusion:The AI-related projects funded by NSFC are characterized by rapid growth in number and fund amounts, wide coverage of disciplines, and diverse types of research diseases. However, the unbalanced distribution of regions, research fields, and supporting institutions demands more attention in future.

CTfeaturesofovarianneuroendocrinecarcinoma:thecorrelationwithclinicandpathology / 实用放射学杂志

Objective ToinvestigatetheCTfindingsofovarianneuroendocrinecarcinomaandthecorrelationswithclinicaland pathologicfeatures.Methods CTfindingsof8patientswithovarianneuroendocrinecarcinomawereretrospectivelyanalyzed.Allcaseswere confirmedbypathologyinourhospital.Thecorrelationofpatients’imagingfindingswiththepathologicalandclinicalcharacteristics wasevaluated.Results Thetumorsinthesepatientsweremorecommonlyseeninunilateralovary(7/8).CTshowedmultiplecystic-solidmixed lesions,mostlyoval-shaped,withanaveragediameterof11.45cm.Thelesions’enhancementpatternswererelatedwithpatient’sageand clinicalstaging.Thepatientsontheirlateclinicalstage(7/8)usuallyhadseveresymptomswithadjacentorgansinvasion,abdominal pelvicperitoneum,omentum,mesentericthickeningandretroperitoneallymphnodeenlargement(7/8).Conclusion Theearlyclinicalfeaturesof ovarianneuroendocrinecarcinomaareconcealed,andmostpatients’clinicalstagesareusuallylate.TheCTfindingsofovarianneuroendocrine carcinomaarerelativelycharacteristic.Lesionsshowapoint-like,andlinearvascular-likeenhancement.Althoughthediagnosisofovarianneuroendocrine carcinomaisstilldependentonthepathology,CTimagesareusefulinpreoperativeevaluationandtreatmentplanning.