Brain is also time: good short-term outcome predictions of artificial intelligence in spontaneous intracerebral hemorrhage pave the way for the long-term assessment

doi:10.1007/s00330-024-10665-z

Editorial

. 2024 Jul;34(7):4414-4416.

doi: 10.1007/s00330-024-10665-z. Epub 2024 Feb 23.

Brain is also time: good short-term outcome predictions of artificial intelligence in spontaneous intracerebral hemorrhage pave the way for the long-term assessment

Chun-Han Liao^{1

2

3}, Yi-Jui Liu⁴

Affiliations

¹ Ph.D. Program in Electrical and Communication Engineering, Feng Chia University, Taichung, Taiwan, Republic of China.
² Division of Medical Imaging, Yuanlin Christian Hospital, Changhua, Taiwan, Republic of China.
³ Department of Medical Imaging, Changhua Christian Hospital, Changhua, Taiwan, Republic of China.
⁴ Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan, Republic of China. erliu@fcu.edu.tw.

PMID: 38396249
DOI: 10.1007/s00330-024-10665-z

Editorial

Brain is also time: good short-term outcome predictions of artificial intelligence in spontaneous intracerebral hemorrhage pave the way for the long-term assessment

Chun-Han Liao et al. Eur Radiol. 2024 Jul.

. 2024 Jul;34(7):4414-4416.

doi: 10.1007/s00330-024-10665-z. Epub 2024 Feb 23.

Authors

Chun-Han Liao^{1

2

3}, Yi-Jui Liu⁴

Affiliations

¹ Ph.D. Program in Electrical and Communication Engineering, Feng Chia University, Taichung, Taiwan, Republic of China.
² Division of Medical Imaging, Yuanlin Christian Hospital, Changhua, Taiwan, Republic of China.
³ Department of Medical Imaging, Changhua Christian Hospital, Changhua, Taiwan, Republic of China.
⁴ Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan, Republic of China. erliu@fcu.edu.tw.

PMID: 38396249
DOI: 10.1007/s00330-024-10665-z

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CT-based deep learning model for predicting hospital discharge outcome in spontaneous intracerebral hemorrhage.
Zhao X, Zhou B, Luo Y, Chen L, Zhu L, Chang S, Fang X, Yao Z. Zhao X, et al. Eur Radiol. 2024 Jul;34(7):4417-4426. doi: 10.1007/s00330-023-10505-6. Epub 2023 Dec 21. Eur Radiol. 2024. PMID: 38127074

References

1. Safatli DA, Gunther A, Schlattmann P, Schwarz F, Kalff R, Ewald C (2016) Predictors of 30-day mortality in patients with spontaneous primary intracerebral hemorrhage. Surg Neurol Int 7:S510-517. https://doi.org/10.4103/2152-7806.187493 - DOI - PubMed - PMC
1. Al-Mufti F, Thabet AM, Singh T, El-Ghanem M, Amuluru K, Gandhi CD (2018) Clinical and radiographic predictors of intracerebral hemorrhage outcome. Interv Neurol 7:118–136. https://doi.org/10.1159/000484571 - DOI - PubMed - PMC
1. Morotti A, Arba F, Boulouis G, Charidimou A (2020) Noncontrast CT markers of intracerebral hemorrhage expansion and poor outcome: a meta-analysis. Neurology 95:632–643. https://doi.org/10.1212/WNL.0000000000010660 - DOI - PubMed
1. Zhong JW, Jin YJ, Song ZJ et al (2021) Deep learning for automatically predicting early haematoma expansion in Chinese patients. Stroke Vasc Neurol 6:610–614. https://doi.org/10.1136/svn-2020-000647 - DOI - PubMed - PMC
1. Katsuki M, Kakizawa Y, Nishikawa A, Yamamoto Y, Uchiyama T (2021) Postsurgical functional outcome prediction model using deep learning framework (Prediction One, Sony Network Communications Inc.) for hypertensive intracerebral hemorrhage. Surg Neurol Int 12:203. https://doi.org/10.25259/SNI_222_2021 - DOI - PubMed - PMC

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[1] Safatli DA, Gunther A, Schlattmann P, Schwarz F, Kalff R, Ewald C (2016) Predictors of 30-day mortality in patients with spontaneous primary intracerebral hemorrhage. Surg Neurol Int 7:S510-517. https://doi.org/10.4103/2152-7806.187493 - DOI - PubMed - PMC

[2] Safatli DA, Gunther A, Schlattmann P, Schwarz F, Kalff R, Ewald C (2016) Predictors of 30-day mortality in patients with spontaneous primary intracerebral hemorrhage. Surg Neurol Int 7:S510-517. https://doi.org/10.4103/2152-7806.187493 - DOI - PubMed - PMC

[3] Al-Mufti F, Thabet AM, Singh T, El-Ghanem M, Amuluru K, Gandhi CD (2018) Clinical and radiographic predictors of intracerebral hemorrhage outcome. Interv Neurol 7:118–136. https://doi.org/10.1159/000484571 - DOI - PubMed - PMC

[4] Al-Mufti F, Thabet AM, Singh T, El-Ghanem M, Amuluru K, Gandhi CD (2018) Clinical and radiographic predictors of intracerebral hemorrhage outcome. Interv Neurol 7:118–136. https://doi.org/10.1159/000484571 - DOI - PubMed - PMC

[5] Morotti A, Arba F, Boulouis G, Charidimou A (2020) Noncontrast CT markers of intracerebral hemorrhage expansion and poor outcome: a meta-analysis. Neurology 95:632–643. https://doi.org/10.1212/WNL.0000000000010660 - DOI - PubMed

[6] Morotti A, Arba F, Boulouis G, Charidimou A (2020) Noncontrast CT markers of intracerebral hemorrhage expansion and poor outcome: a meta-analysis. Neurology 95:632–643. https://doi.org/10.1212/WNL.0000000000010660 - DOI - PubMed

[7] Zhong JW, Jin YJ, Song ZJ et al (2021) Deep learning for automatically predicting early haematoma expansion in Chinese patients. Stroke Vasc Neurol 6:610–614. https://doi.org/10.1136/svn-2020-000647 - DOI - PubMed - PMC

[8] Zhong JW, Jin YJ, Song ZJ et al (2021) Deep learning for automatically predicting early haematoma expansion in Chinese patients. Stroke Vasc Neurol 6:610–614. https://doi.org/10.1136/svn-2020-000647 - DOI - PubMed - PMC

[9] Katsuki M, Kakizawa Y, Nishikawa A, Yamamoto Y, Uchiyama T (2021) Postsurgical functional outcome prediction model using deep learning framework (Prediction One, Sony Network Communications Inc.) for hypertensive intracerebral hemorrhage. Surg Neurol Int 12:203. https://doi.org/10.25259/SNI_222_2021 - DOI - PubMed - PMC

[10] Katsuki M, Kakizawa Y, Nishikawa A, Yamamoto Y, Uchiyama T (2021) Postsurgical functional outcome prediction model using deep learning framework (Prediction One, Sony Network Communications Inc.) for hypertensive intracerebral hemorrhage. Surg Neurol Int 12:203. https://doi.org/10.25259/SNI_222_2021 - DOI - PubMed - PMC

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Brain is also time: good short-term outcome predictions of artificial intelligence in spontaneous intracerebral hemorrhage pave the way for the long-term assessment

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Brain is also time: good short-term outcome predictions of artificial intelligence in spontaneous intracerebral hemorrhage pave the way for the long-term assessment

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