Search Results

Exploring the potential and limitations of deep learning and explainable AI for longitudinal life course analysis.

• Authors : Coupland H; Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.; Scheidwasser N

Subjects: Deep Learning* ; Artificial Intelligence*; Humans

• Source: BMC public health [BMC Public Health] 2025 Apr 24; Vol. 25 (1), pp. 1520. Date of Electronic Publication: 2025 Apr 24.Publisher: BioMed Central Country of Publication: England NLM ID: 100968562 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2458

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Limitations of panoramic radiographs in predicting mandibular wisdom tooth extraction and the potential of deep learning models to overcome them.

• Authors : Danjo A; Department of Oral and Maxillofacial Surgery, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga, 849-8501, Japan. .; Kuwada C

Subjects: Radiography, Panoramic*/Radiography, Panoramic*/Radiography, Panoramic*/methods ; Deep Learning* ; Tooth Extraction*

• Source: Scientific reports [Sci Rep] 2024 Dec 28; Vol. 14 (1), pp. 30806. Date of Electronic Publication: 2024 Dec 28.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Revolutionizing tumor detection and classification in multimodality imaging based on deep learning approaches: Methods, applications and limitations.

• Authors : Hussain D; Department of Artificial Intelligence and Data Science, Sejong University, Seoul, Korea.; Al-Masni MA

Subjects: Deep Learning* ; Multimodal Imaging*/Multimodal Imaging*/Multimodal Imaging*/methods ; Neoplasms*/Neoplasms*/Neoplasms*/diagnostic imaging

• Source: Journal of X-ray science and technology [J Xray Sci Technol] 2024; Vol. 32 (4), pp. 857-911.Publisher: SAGE Publications Country of Publication: Netherlands NLM ID: 9000080 Publication Model: Print Cited Medium: Internet ISSN: 1095-9114

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Enhancing Areca Nut Detection and Classification Using Faster R-CNN: Addressing Dataset Limitations with Haar-like Features, Integral Image, and Anchor Box Optimization

• Authors : Yovi Pratama; Errissya Rasywir; Suyanti

Subjects: areca nut classification; deep learning; faster r-cnn

• Source: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Vol 9, Iss 3, Pp 697-705 (2025)

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Visual Deepfake Detection: Review of Techniques, Tools, Limitations, and Future Prospects

• Authors : Naveed Ur Rehman Ahmed; Afzal Badshah; Hanan Adeel

Subjects: Deepfake detection; machine learning; deepfake datasets

• Source: IEEE Access, Vol 13, Pp 1923-1961 (2025)

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Integration of deep learning and railway big data for environmental risk prediction models and analysis of their limitations

• Authors : Liuhui Quan; Minjie Wang; Lyu Baihang

Subjects: railway big data; deep learning; predictive maintenance

• Source: Frontiers in Environmental Science, Vol 13 (2025)

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Overcoming the limitations of patch-based learning to detect cancer in whole slide images.

• Authors : Ciga O; Department of Medical Biophysics, University of Toronto, Toronto, Canada. .; Xu T

Subjects: Deep Learning* ; Image Processing, Computer-Assisted* ; Neoplasms*/Neoplasms*/Neoplasms*/diagnosis

• Source: Scientific reports [Sci Rep] 2021 Apr 26; Vol. 11 (1), pp. 8894. Date of Electronic Publication: 2021 Apr 26.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting.

• Authors : Kim J; Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea.; Cancer Data Center, National Cancer Control Institute, National Cancer Center, Goyang-si, Gyeonggi-do, Republic of Korea.

Subjects: Deep Learning/Deep Learning/Deep Learning/*standards ; Diabetes Mellitus/Diabetes Mellitus/Diabetes Mellitus/*epidemiology; Algorithms

• Source: Journal of medical Internet research [J Med Internet Res] 2020 Dec 16; Vol. 22 (12), pp. e18418. Date of Electronic Publication: 2020 Dec 16.Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN:

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Enhanced Detection Performance of Acute Vertebral Compression Fractures Using a Hybrid Deep Learning and Traditional Quantitative Measurement Approach: Beyond the Limitations of Genant Classification.

• Authors : Lee, Jemyoung^1,2 (AUTHOR) ; Kim, Minbeom² (AUTHOR); Park, Heejun³ (AUTHOR)

• Source: Bioengineering (Basel). Jan2025, Vol. 12 Issue 1, p64. 23p.

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Current limitations in predicting mRNA translation with deep learning models

• Authors : Niels Schlusser; Asier González; Muskan Pandey

Subjects: Translation control; Deep learning; Explainable AI

• Source: Genome Biology, Vol 25, Iss 1, Pp 1-25 (2024)

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