NatBiomedEng｜必读的42篇智能医药论文
作者：***
审稿：赖乐珊
机器学习在疾病诊断和医疗健康数据分析的应用，能够辅助医生加速临床决策。这里按时间降序，展示了2017年至今发表在natural biomedical engineering的智能医药论文集合。
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1. Prospective asssment of breast cancer risk from multimodal multiview ultrasound images via clinically applicable deep learning
/articles/s41551-021-00711-2
2. Optimization of therapeutic antibodies by predicting antigen specificity from antibody quence via deep learning
/articles/s41551-021-00699-9
3. A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images
/articles/s41551-021-00704-1
4. Data-efficient and weakly supervid computational pathology on whole-slide images
/articles/s41551-020-00682-w
5. Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cau mortality
/articles/s41551-020-00667-9
2020年11月18日
6. Open resource of clinical data from patients with pneumonia for the prediction of COVID-19 outcomes via deep learning
/articles/s41551-020-00633-5
2020年11月2日
7. A data-driven dimensionality-reduction algorithm for the exploration of patterns in biomedical data
/articles/s41551-020-00635-3
2020年10月12日
8. A deep-learning system for the asssment of cardiovascular dia risk via the measurement of retinal-vesl calibre
/articles/s41551-020-00626-4
2020年6月22日
9. Integrating spatial gene expression and breast tumour morphology via deep learning
/articles/s41551-020-0578-x
2020年6月22日
10.Den anatomical annotation of slit-lamp images improves the performance of deep learning for the diagnosis of ophthalmic disorders
/articles/s41551-020-0577-y
2020年4月6日
11. A mountable toilet system for personalized health monitoring via the analysis of excreta
/articles/s41551-020-0534-9
2019年12月23日
12.Detection of anaemia from retinal fundus images via deep learning
/articles/s41551-019-0487-z
2019年10月28日
12.Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning
/articles/s41551-019-0466-4
2019年10月21日
13.Discrimination of the behavioural dynamics of visually impaired infants via deep learning
/articles/s41551-019-0461-9
2019年3月4日
14. Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning
/articles/s41551-019-0362-y
鲜姜2018年12月17日
15. An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datats
/articles/s41551-018-0324-9致命享用
2018年10月10日
16. Artificial intelligence in healthcare
/articles/s41551-018-0305-z
2018年10月10日
17. Explainable machine-learning predictions for the prevention of hypoxaemia during surgery/articles/s41551-018-0304-0逗他
2018年10月10日
18. Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy
/articles/s41551-018-0301-3
2018年9月17日
19. Live-cell phenotypic-biomarker microfluidic assay for the risk stratification of cancer patients via machine learning
/articles/s41551-018-0285-z
2018年7月23日
20. Design and clinical validation of a point-of-care device for the diagnosis of lymphoma via contrast-enhanced microholography and machine learning
/articles/s41551-018-0265-3
2018年3月19日
21. Diagnosis of psis from a drop of blood by measurement of spontaneous neutrophil motility in a microfluidic assay
/articles/s41551-018-0208-z关于长城的资料
2018年2月19日
22. Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
/articles/s41551-018-0195-0
2018年1月10日家庭电器
23. Prediction of off-target activities for the end-to-end design of CRISPR guide RNAs
/articles/s41551-017-0178-6
2017年2月6日
24. Rapid intraoperative histology of unprocesd surgical specimens via fibre-lar-bad stimulated Raman scattering microscopy
/articles/s41551-016-0027
2017年2月6日
25. Man/machine interface bad on the discharge timings of spinal motor neurons after targeted muscle reinnervation
/articles/s41551-016-0025
2017年1月30日
26. An artificial intelligence platform for the multihospital collaborative management of congenital cataracts
/articles/s41551-016-0024
News&Comment
2019年12月23日
27. Detection of anaemia from retinal images骆驼祥子好词摘抄
/articles/s41551-019-0504-2
雪白的妈妈>照耀的拼音
2019年10月17日
28. No pixel-level annotations needed
/articles/s41551-019-0472-6
2019年3月7日
29. Spotting brain bleeding after spar training
/articles/s41551-019-0368-5
2018年10月10日
30. Towards trustable machine learning
/articles/s41551-018-0315-x
