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。 Research  1. Prospective assessment of breast cancer risk from multimodal multiview ultrasound images via clinically applicable deep learning https://www./articles/s41551-021-00711-2  2. Optimization of therapeutic antibodies by predicting antigen specificity from antibody sequence via deep learning https://www./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 https://www./articles/s41551-021-00704-1  4. Data-efficient and weakly supervised computational pathology on whole-slide images https://www./articles/s41551-020-00682-w  5. Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortality https://www./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 https://www./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 https://www./articles/s41551-020-00635-3 2020年10月12日 8. A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre https://www./articles/s41551-020-00626-4 2020年6月22日 9. Integrating spatial gene expression and breast tumour morphology via deep learning https://www./articles/s41551-020-0578-x 2020年6月22日 10.Dense anatomical annotation of slit-lamp images improves the performance of deep learning for the diagnosis of ophthalmic disorders https://www./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 https://www./articles/s41551-020-0534-9 2019年12月23日 12.Detection of anaemia from retinal fundus images via deep learning https://www./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 https://www./articles/s41551-019-0466-4 2019年10月21日 13.Discrimination of the behavioural dynamics of visually impaired infants via deep learning https://www./articles/s41551-019-0461-9 2019年3月4日 14. Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning https://www./articles/s41551-019-0362-y 2018年12月17日 15. An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets https://www./articles/s41551-018-0324-9 2018年10月10日 16. Artificial intelligence in healthcare 2018年10月10日 2018年10月10日 18. Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy https://www./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 https://www./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 https://www./articles/s41551-018-0265-3 2018年3月19日 21. Diagnosis of sepsis from a drop of blood by measurement of spontaneous neutrophil motility in a microfluidic assay https://www./articles/s41551-018-0208-z 2018年2月19日 22. Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning https://www./articles/s41551-018-0195-0 2018年1月10日 23. Prediction of off-target activities for the end-to-end design of CRISPR guide RNAs https://www./articles/s41551-017-0178-6 2017年2月6日 24. Rapid intraoperative histology of unprocessed surgical specimens via fibre-laser-based stimulated Raman scattering microscopy https://www./articles/s41551-016-0027 2017年2月6日 25. Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation https://www./articles/s41551-016-0025 2017年1月30日 26. An artificial intelligence platform for the multihospital collaborative management of congenital cataracts https://www./articles/s41551-016-0024 News&Comment 2019年12月23日 27. Detection of anaemia from retinal images https://www./articles/s41551-019-0504-2 2019年10月17日 28. No pixel-level annotations needed https://www./articles/s41551-019-0472-6 2019年3月7日 29. Spotting brain bleeding after sparse training https://www./articles/s41551-019-0368-5 2018年10月10日 30. Towards trustable machine learning https://www./articles/s41551-018-0315-x 2018年10月10日 31. Clear oxygen-level forecasts during anaesthesia https://www./articles/s41551-018-0313-z 2018年10月10日 32. Detecting colorectal polyps via machine learning https://www./articles/s41551-018-0308-9 2018年9月11日 33. Holographic diagnosis of lymphoma https://www./articles/s41551-018-0291-1 2018年4月13日 34. Detecting sepsis by observing neutrophil motility 2018年3月7日 35. All eyes are on AI https://www./articles/s41551-018-0213-2 2018年3月7日 36. Eyeing cardiovascular risk factors https://www./articles/s41551-018-0210-5 2017年9月12日 37. Surgical data science for next-generation interventions https://www./articles/s41551-017-0132-7 2017年2月10日 38. Auspicious machine learning https://www./articles/s41551-017-0036 2017年2月10日 39. Neuroengineering: Deciphering neural drive https://www./articles/s41551-017-0034 2017年2月10日 40. Diagnostic imaging: Intraoperative virtual histology https://www./articles/s41551-017-0033 2017年2月10日 41. Computational medicine: A cybernetic eye for rare disease https://www./articles/s41551-017-0032 原文：https://www./collections/zbkpvddmhm |
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