Editorial commentary: Deep learning in cardiology: All models are wrong, but some are useful.
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| Title: | Editorial commentary: Deep learning in cardiology: All models are wrong, but some are useful. |
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| Authors: | Stultz C; Massachusetts Institute of Technology & Massachusetts General Hospital Cambridge, MA, United States. Electronic address: cmstultz@mit.edu. |
| Source: | Trends in cardiovascular medicine [Trends Cardiovasc Med] 2022 Jan; Vol. 32 (1), pp. 42-43. Date of Electronic Publication: 2020 Dec 15. |
| Publication Type: | Editorial; Comment |
| Journal Info: | Publisher: Elsevier Science Publishing Country of Publication: United States NLM ID: 9108337 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2615 (Electronic) Linking ISSN: 10501738 NLM ISO Abbreviation: Trends Cardiovasc Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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