74人工智能應(yīng)用于早癌篩查
The Scientist
是一個雙月刊,本文選自2021年4月
bimonthly雙月刊?? quarterly季刊
影像診斷學(xué)比如通過病理切片來識別相應(yīng)特征性細胞確診
本文敘述人工智能在其中的應(yīng)用以及過度診斷的潛在短板

比較友好

The diagnosis of cancer, particularly solid tumors, relies ?heavily on the visual interpretation of histologic slides by ?pathologists病理學(xué)家 who use their experience in pattern recognition ?to render a diagnosis.
?The technology has important limitations, however.
--the diagnosis of disease that meets the pathologic definition of cancer but never would have caused morbidity or mortality in ?a patient’s lifetime.




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下一篇量子力學(xué)

https://m.haodf.com/neirong/wenzhang/6630136364.html

Prostate 前列腺;Breast 乳腺;Lung&bronchus 肺 & 支氣管;Colorectum 結(jié)直腸;Urinary bladder 膀胱; Thyroid 甲狀腺;Melanoma of the skin 黑色素瘤; Liver 肝;Uterine corpus 子宮.
全集,文集; 資金,本金; [計]語料庫; 器官
morbidity? mortality
發(fā)病率? 死亡率

中心句
?While artifificial intelligence could improve detection of tumors at their earliest stages,
?it also risks identifying malignancies that would never cause patients any harm.
malignancy [ma'lignensi]n.惡性腫瘤
malicious adj.惡意的,惡毒的malevolent
maltreat 虐待malformation畸形malpractice瀆職
Results have been delayed owing to a malfunction(n/v) in the computer.
Malnutrition(n) obviously weakens the patient.
broad 微笑大,概念泛,范圍寬
?in the realm of 領(lǐng)域
(domain, field)
-driven
拜金 money-driven


hold promise for有希望have the potential to...
真實值或者標簽值a reliance on data that are correctly labeled with the ground ?truth about what is and what is not cancer.
concerning關(guān)于(about, regarding, in/with regard to)
The presumption of innocence 無罪推定和疑罪從無還是有點區(qū)別的
mounting增加的,越來越多的(gradually increasing)
mount 攀登 發(fā)起 安放


1-3(短板)-6(解決)
Our assessment of a person's intelligence is affected by the way he or she uses language.
張嘴就暴露智商

The disagreement category could be a subject of study for researchers on ?the natural history of cancer. It may also be useful for clinicians ?and patients who may want to consider less-aggressive treatment for the lesions in the gray area of pathologist disagreement. The use of ML technology in healthcare is still nascent, ?but like any other technology, it needs to be adequately vetted before it is widely adopted, given the potential for unintended harms such as overdiagnosis. Hopefully, prospective ?randomized trials can be performed in order to assess the ?effect of ML on cancer diagnosis.
保守治療;前瞻性隨機試驗(預(yù)防醫(yī)學(xué))