نتائج البحث

Automatic literature screening using the PAJO deep-learning model for clinical practice guidelines.

• Authors : Lin Y; School of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China.; Li J

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

• Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2023 Nov 03; Vol. 23 (1), pp. 247. 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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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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An attention based deep learning model of clinical events in the intensive care unit.

• Authors : Kaji DA; Icahn School of Medicine at Mount Sinai, Department of Orthopaedics, New York, NY, United States of America.; Zech JR

Subjects: Clinical Decision-Making*/Clinical Decision-Making*/Clinical Decision-Making*/methods ; Deep Learning* ; Diagnosis, Computer-Assisted*

• Source: PloS one [PLoS One] 2019 Feb 13; Vol. 14 (2), pp. e0211057. Date of Electronic Publication: 2019 Feb 13 (Print Publication: 2019).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Improving palliative care with deep learning.

• Authors : Avati A; Department of Computer Science, Stanford University, Stanford, CA, USA. .; Jung K

Subjects: Clinical Decision-Making* ; Deep Learning* ; Palliative Care*

• Source: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2018 Dec 12; Vol. 18 (Suppl 4), pp. 122. 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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AI-assisted clinical decision making (CDM) for dose prescription in radiosurgery of brain metastases using three-path three-dimensional CNN

• Authors : Yufeng Cao; Dan Kunaprayoon; Junliang Xu

Subjects: Clinical decision-making; Metastases; Deep learning

• Source: Clinical and Translational Radiation Oncology, Vol 39, Iss , Pp 100565- (2023)

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Artificial intelligence in positioning between mandibular third molar and inferior alveolar nerve on panoramic radiography.

• Authors : Choi E; Department of Oral Medicine and Oral Diagnosis, School of Dentistry, Seoul National University, 101, Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.; Lee S

Subjects: Deep Learning*; Clinical Decision-Making/Clinical Decision-Making/Clinical Decision-Making/*methods ; Mandible/Mandible/Mandible/*diagnostic imaging

• Source: Scientific reports [Sci Rep] 2022 Feb 14; Vol. 12 (1), pp. 2456. Date of Electronic Publication: 2022 Feb 14.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Treatment selection using prototyping in latent-space with application to depression treatment.

• Authors : Kleinerman A; Bar-Ilan University, Ramat-Gan, Israel.; Rosenfeld A

Subjects: Deep Learning*; Antidepressive Agents/Antidepressive Agents/Antidepressive Agents/*therapeutic use ; Clinical Decision-Making/Clinical Decision-Making/Clinical Decision-Making/*methods

• Source: PloS one [PLoS One] 2021 Nov 12; Vol. 16 (11), pp. e0258400. Date of Electronic Publication: 2021 Nov 12 (Print Publication: 2021).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Prediction of the local treatment outcome in patients with oropharyngeal squamous cell carcinoma using deep learning analysis of pretreatment FDG-PET images.

• Authors : Fujima N; Departments of Radiology, Boston University School of Medicine, One Boston Medical Center Place, 3rd Floor, 820 Harrison Avenue, Boston, MA, 02118, USA.; Research Center for Cooperative Projects, Hokkaido University Graduate School of Medicine, kita 15, nishi 7, kita-ku, Sapporo, Hokkaido, 060-8638, Japan.

Subjects: Deep Learning* ; Fluorodeoxyglucose F18* ; Positron-Emission Tomography*/Positron-Emission Tomography*/Positron-Emission Tomography*/methods

• Source: BMC cancer [BMC Cancer] 2021 Aug 06; Vol. 21 (1), pp. 900. Date of Electronic Publication: 2021 Aug 06.Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407

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Hierarchical deep learning models using transfer learning for disease detection and classification based on small number of medical images.

• Authors : An G; R&D Division, Topcon Corporation, Tokyo, Japan.; Graduate School of System Informatics, Kobe University, Kobe, Japan.

Subjects: Deep Learning*; Glaucoma/Glaucoma/Glaucoma/*diagnosis ; Glaucoma/Glaucoma/Glaucoma/*diagnostic imaging

• Source: Scientific reports [Sci Rep] 2021 Mar 01; Vol. 11 (1), pp. 4250. Date of Electronic Publication: 2021 Mar 01.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging

• Authors : Sergio Sanchez-Martinez; Oscar Camara; Gemma Piella

Subjects: artificial intelligence; machine learning; deep learning

• Source: Frontiers in Cardiovascular Medicine, Vol 8 (2022)

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