ChatGPT as an aid for pathological diagnosis of cancer

S Malik, S Zaheer - Pathology-Research and Practice, 2024 - Elsevier
Diagnostic workup of cancer patients is highly reliant on the science of pathology using
cytopathology, histopathology, and other ancillary techniques like immunohistochemistry …

Advancements in triple-negative breast cancer sub-ty**, diagnosis and treatment with assistance of artificial intelligence: a focused review

Z Batool, MA Kamal, B Shen - Journal of Cancer Research and Clinical …, 2024 - Springer
Triple negative breast cancer (TNBC) is most aggressive type of breast cancer with multiple
invasive sub-types and leading cause of women's death worldwide. Lack of estrogen …

Multi-label dental disorder diagnosis based on MobileNetV2 and swin transformer using bagging ensemble classifier

YM Alsakar, N Elazab, N Nader, W Mohamed… - Scientific Reports, 2024 - nature.com
Dental disorders are common worldwide, causing pain or infections and limiting mouth
opening, so dental conditions impact productivity, work capability, and quality of life. Manual …

MSGM: An Advanced Deep Multi-Size Guiding Matching Network for Whole Slide Histopathology Images Addressing Staining Variation and Low Visibility Challenges

X Li, Z Li, T Hu, M Long, X Ma, J Huang… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Matching whole slide histopathology images to provide comprehensive information on
homologous tissues is beneficial for cancer diagnosis. However, the challenge arises with …

[HTML][HTML] Artificial Intelligence and Deep Learning for Screening and Risk Assessment of Cancers

M Farrokhi, SJ Khouzani, M Farrokhi, H Jalayeri… - Kindle, 2024 - preferpub.org
Abstract Artificial Intelligence (AI) and Deep Learning have emerged as revolutionary tools
in the domain of cancer screening and risk assessment. Leveraging vast amounts of data …

Virtual reality visualisation of automatic crack detection for bridge inspection from 3D digital twin generated by UAV photogrammetry

AY Yiğit, M Uysal - Measurement, 2025 - Elsevier
This research develops a UAV photogrammetry methodology to generate 3D digital twins
(DT) of the Elvanlı Bridge in Mersin, Turkey. These DTs are then analyzed using advanced …

Detection of cracks in cultural heritage buildings using UAV photogrammetry-based digital twin

AY Yiğit, M Uysal - ACM Journal on Computing and Cultural Heritage, 2024 - dl.acm.org
Notwithstanding the increasing efforts to conserve and archive historical artefacts,
comprehensive documentation employing various technologies remains crucial …

Automatic Crack Detection and Structural Inspection of Cultural Heritage Buildings Using UAV Photogrammetry and Digital Twin Technology

AY Yiğit, M Uysal - Journal of Building Engineering, 2024 - Elsevier
Current methods for rapidly inspecting structures are difficult to document and subjective.
Automating the process with innovative technologies is necessary to overcome these …

Lipid droplet detection in histopathological images using reinforcement learning

Y Harada, H Nishida, K Matsuura - … & Biotechnological Equipment, 2024 - Taylor & Francis
The identification and analysis of lipid droplets in pathological images are pivotal owing to
the variations in their size, shading and shape. The development of an artificial intelligence …

Generative Artificial Intelligence in Anatomic Pathology

V Brodsky, E Ullah, A Bychkov… - … of Pathology & …, 2025 - meridian.allenpress.com
Context.—Generative artificial intelligence (AI) has emerged as a transformative force in
various fields, including anatomic pathology, where it offers the potential to significantly …