Lost in Thought - The Limits of the Human Mind and the Future of Medicine.
作者信息
Obermeyer Ziad, Lee Thomas H
机构信息
From Brigham and Women's Hospital and Harvard Medical School, Boston (Z.O., T.H.L.), and Press Ganey, Wakefield (T.H.L.) - both in Massachusetts.
出版信息
N Engl J Med. 2017 Sep 28;377(13):1209-1211. doi: 10.1056/NEJMp1705348.
Abstract
摘要
相似文献
1
Lost in Thought - The Limits of the Human Mind and the Future of Medicine.陷入沉思——人类思维的局限与医学的未来
N Engl J Med. 2017 Sep 28;377(13):1209-1211. doi: 10.1056/NEJMp1705348.
2
eDoctor: machine learning and the future of medicine.医生：机器学习与医学的未来。
J Intern Med. 2018 Dec;284(6):603-619. doi: 10.1111/joim.12822. Epub 2018 Sep 3.
3
Artificial intelligence in medicine: current trends and future possibilities.医学中的人工智能：当前趋势与未来可能性。
Br J Gen Pract. 2018 Mar;68(668):143-144. doi: 10.3399/bjgp18X695213.
4
Machine Learning and Artificial Intelligence in Radiology.放射学中的机器学习与人工智能
J Am Coll Radiol. 2018 Aug;15(8):1139-1142. doi: 10.1016/j.jacr.2017.11.015. Epub 2017 Dec 21.
5
Groundhog Day for Medical Artificial Intelligence.医学人工智能的“土拨鼠日”。
Hastings Cent Rep. 2018 May;48(3):inside back cover. doi: 10.1002/hast.842.
6
[Algorithms, machine intelligence, big data : general considerations].[算法、机器智能、大数据：一般考量]
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2015 Aug;58(8):859-865. doi: 10.1007/s00103-015-2189-3.
7
The role of artificial intelligence and machine learning in predicting orthopaedic outcomes.人工智能和机器学习在预测骨科结果中的作用。
Bone Joint J. 2019 Dec;101-B(12):1476-1478. doi: 10.1302/0301-620X.101B12.BJJ-2019-0850.R1.
8
Artificial Intelligence in Precision Cardiovascular Medicine.人工智能在精准心血管医学中的应用。
J Am Coll Cardiol. 2017 May 30;69(21):2657-2664. doi: 10.1016/j.jacc.2017.03.571.
9
Better medicine through machine learning: What's real, and what's artificial?通过机器学习实现更好的医学：哪些是真实的，哪些是人为的？
PLoS Med. 2018 Dec 31;15(12):e1002721. doi: 10.1371/journal.pmed.1002721. eCollection 2018 Dec.
10
Machine Learning in Medicine.医学中的机器学习
Circulation. 2015 Nov 17;132(20):1920-30. doi: 10.1161/CIRCULATIONAHA.115.001593.
引用本文的文献
1
Evidence-Based Medicine: Past, Present, Future.循证医学：过去、现在与未来。
J Clin Med. 2025 Jul 17;14(14):5094. doi: 10.3390/jcm14145094.
2
A Machine Learning Model for Predicting Depression in Moroccan Rheumatoid Arthritis Patients.一种用于预测摩洛哥类风湿性关节炎患者抑郁症的机器学习模型。
Cureus. 2025 Mar 17;17(3):e80723. doi: 10.7759/cureus.80723. eCollection 2025 Mar.
3
Preparing Physicians of the Future: Incorporating Data Science into Medical Education.培养未来的医生：将数据科学融入医学教育。
Med Sci Educ. 2024 Aug 13;34(6):1565-1570. doi: 10.1007/s40670-024-02137-2. eCollection 2024 Dec.
4
Computed Tomography Scan and Clinical-based Complete Response Prediction in Locally Advanced Rectal Cancer after Neoadjuvant Chemoradiotherapy: A Machine Learning Approach.新辅助放化疗后局部晚期直肠癌的计算机断层扫描与基于临床的完全缓解预测：一种机器学习方法
J Med Signals Sens. 2024 Dec 3;14:32. doi: 10.4103/jmss.jmss_46_23. eCollection 2024.
5
A Framework for Interpretability in Machine Learning for Medical Imaging.医学成像机器学习中的可解释性框架。
IEEE Access. 2024;12:53277-53292. doi: 10.1109/access.2024.3387702. Epub 2024 Apr 11.
6
Engaging with artificial intelligence in mammography screening: Swedish breast radiologists' views on trust, information and expertise.在乳腺钼靶筛查中应用人工智能：瑞典乳腺放射科医生对信任、信息和专业知识的看法。
Digit Health. 2024 Oct 7;10:20552076241287958. doi: 10.1177/20552076241287958. eCollection 2024 Jan-Dec.
7
The Environmental Costs of Artificial Intelligence for Healthcare.人工智能在医疗保健领域的环境成本。
Asian Bioeth Rev. 2024 Jun 21;16(3):527-538. doi: 10.1007/s41649-024-00295-4. eCollection 2024 Jul.
8
How Artificial Intelligence Will Transform Clinical Care, Research, and Trials for Inflammatory Bowel Disease.人工智能将如何改变炎症性肠病的临床护理、研究和试验。
Clin Gastroenterol Hepatol. 2025 Feb;23(3):428-439.e4. doi: 10.1016/j.cgh.2024.05.048. Epub 2024 Jul 9.
9
A Psychiatry Clerkship Orientation Based on Bite-Sized Teaching and Chalk Talks.基于小块教学和粉笔讲座的精神科实习指导
Acad Psychiatry. 2025 Feb;49(1):56-59. doi: 10.1007/s40596-024-02010-9. Epub 2024 Jul 10.
10
Medical-informed machine learning: integrating prior knowledge into medical decision systems.医学信息机器学习：将先验知识集成到医学决策系统中。
BMC Med Inform Decis Mak. 2024 Jun 28;24(Suppl 4):186. doi: 10.1186/s12911-024-02582-4.
本文引用的文献
1
Does Machine Learning Automate Moral Hazard and Error?机器学习会使道德风险和错误自动化吗？
Am Econ Rev. 2017 May;107(5):476-480. doi: 10.1257/aer.p20171084.
2
Early death after discharge from emergency departments: analysis of national US insurance claims data.急诊科出院后的过早死亡：美国全国保险理赔数据分析
BMJ. 2017 Feb 1;356:j239. doi: 10.1136/bmj.j239.
3
Identification of type 2 diabetes subgroups through topological analysis of patient similarity.通过患者相似性的拓扑分析识别2型糖尿病亚组。
Sci Transl Med. 2015 Oct 28;7(311):311ra174. doi: 10.1126/scitranslmed.aaa9364.
4
Computationally generated cardiac biomarkers for risk stratification after acute coronary syndrome.计算生成的急性冠状动脉综合征后风险分层的心脏生物标志物。
Sci Transl Med. 2011 Sep 28;3(102):102ra95. doi: 10.1126/scitranslmed.3002557.
Zotero 插件