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Artificial intelligence in total and unicompartmental knee arthroplasty.

• Authors : Longo UG; Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, Rome, 200 - 00128, Italy. .; Department of Medicine and Surgery, Research Unit of Orthopaedic and Trauma Surgery, Università Campus Bio-Medico Di Roma, Via Alvaro del Portillo, Rome, 21 - 00128, Italy. .

Subjects: Arthroplasty, Replacement, Knee*/Arthroplasty, Replacement, Knee*/Arthroplasty, Replacement, Knee*/methods ; Artificial Intelligence* ; Machine Learning*/Machine Learning*/Machine Learning*/trends

• Source: BMC musculoskeletal disorders [BMC Musculoskelet Disord] 2024 Jul 22; Vol. 25 (1), pp. 571. Date of Electronic Publication: 2024 Jul 22.Publisher: BioMed Central Country of Publication: England NLM ID: 100968565 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2474

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Retrospective analysis of interpretable machine learning in predicting ICU thrombocytopenia in geriatric ICU patients.

• Authors : Xu Y; Intensive Care Unit, Affiliated Dongyang Hospital of Wenzhou Medical University, No. 60 Wuning West Road, Dongyang, Jinhua, Zhejiang, People's Republic of China.; Zhang W

Subjects: Thrombocytopenia* ; Intensive Care Units* ; Machine Learning*

• Source: Scientific reports [Sci Rep] 2024 Jul 20; Vol. 14 (1), pp. 16738. Date of Electronic Publication: 2024 Jul 20.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Machine learning to optimize literature screening in medical guideline development.

• Authors : Harmsen W; Knowlegde Institute for the Federation of Medical Specialists, Utrecht, The Netherlands.; de Groot J

Subjects: Machine Learning* ; Practice Guidelines as Topic*; Humans

• Source: Systematic reviews [Syst Rev] 2024 Jul 11; Vol. 13 (1), pp. 177. Date of Electronic Publication: 2024 Jul 11.Publisher: BioMed Central Country of Publication: England NLM ID: 101580575 Publication Model: Electronic Cited Medium: Internet ISSN: 2046-4053

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Application of machine learning missing data imputation techniques in clinical decision making: taking the discharge assessment of patients with spontaneous supratentorial intracerebral hemorrhage as an example.

• Authors : Wang H; Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.; Tang J

Subjects: Machine Learning* ; Patient Discharge*; Algorithms

• Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2022 Jan 13; Vol. 22 (1), pp. 13. Date of Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947

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Predictive models for clinical decision making: Deep dives in practical machine learning

• Authors : Eloranta, Sandra; Boman, Magnus

Subjects: artificial intelligence; clinical decision-making; machine learning

• Source: Journal of Internal Medicine. 292(2):278-295

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用于女性偏头痛患者分流和临床决策的偏头痛 患者卵圆孔未闭风险预测模型.

• Authors : 张晓春¹; 范家宁¹; 朱 丽¹

• Source: Fudan University Journal of Medical Sciences. Jul2024, Vol. 51 Issue 4, p505-514. 10p.

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Integrative machine learning algorithms for developing a consensus RNA modification-based signature for guiding clinical decision-making in bladder cancer.

• Authors : Jia, Shijun¹; Zhai, Linhan^1,2; Wu, Feng¹

• Source: Oncologie (De Gruyter). Mar2024, Vol. 26 Issue 2, p269-285. 17p.

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Wide range of applications for machine-learning prediction models in orthopedic surgical outcome: a systematic review.

• Authors : Ogink PT; Department of Orthopedic Surgery, University Medical Center Utrecht - Utrecht University, Utrecht, The Netherlands.; Groot OQ

Subjects: Clinical Decision-Making* ; Machine Learning* ; Neural Networks, Computer*

• Source: Acta orthopaedica [Acta Orthop] 2021 Oct; Vol. 92 (5), pp. 526-531. Date of Electronic Publication: 2021 Jun 10.Publisher: Medical Journals Sweden AB Country of Publication: Sweden NLM ID: 101231512 Publication Model: Print-Electronic Cited Medium: Internet

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Decision making on vestibular schwannoma treatment: predictions based on machine-learning analysis.

• Authors : Profant O; Department of Auditory Neuroscience, Institute of Experimental Medicine, Czech Academy of Sciences, Prague, Czech Republic.; Bureš Z

Subjects: Clinical Decision-Making* ; Disease Management* ; Machine Learning*

• Source: Scientific reports [Sci Rep] 2021 Sep 15; Vol. 11 (1), pp. 18376. Date of Electronic Publication: 2021 Sep 15.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Deep transfer learning for clinical decision-making based on high-throughput data: comprehensive survey with benchmark results.

• Authors : Toseef, Muhammad¹ (AUTHOR); Petinrin, Olutomilayo Olayemi¹ (AUTHOR); Wang, Fuzhou¹ (AUTHOR)

• Source: Briefings in Bioinformatics. Jul2023, Vol. 24 Issue 4, p1-16. 16p.

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