Artificial intelligence in histopathology: enhancing cancer research and clinical oncology

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A multimodal whole-slide foundation model for pathology

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Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction

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In-context learning enables multimodal large language models to classify cancer pathology images

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Deep learning applications in breast cancer histopathological imaging: diagnosis, treatment, and prognosis

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Revolutionizing Digital Pathology With the Power of Generative Artificial Intelligence and Foundation Models

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Privacy-preserving large language models for structured medical information retrieval

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THItoGene: a deep learning method for predicting spatial transcriptomics from histological images

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Vision transformer architecture and applications in digital health: a tutorial and survey

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Advances in materials-based therapeutic strategies against osteoporosis

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Extracting structured information from unstructured histopathology reports using generative pre‐trained transformer 4 ( <scp>GPT</scp> ‐4)

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Deep learning in cancer genomics and histopathology

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Aggregation-Induced Emission Luminogen: Role in Biopsy for Precision Medicine

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Computational pathology: A survey review and the way forward

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Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade

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Regression-based Deep-Learning predicts molecular biomarkers from pathology slides

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End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study

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Analysis of 3D pathology samples using weakly supervised AI

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From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology

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Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers

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AI-driven 3D bioprinting for regenerative medicine: From bench to bedside

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Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study

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Role of Artificial Intelligence in Medical Image Analysis: A Review of Current Trends and Future Directions

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Artificial intelligence entering the pathology arena in oncology: current applications and future perspectives

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Multimodal contrastive learning for spatial gene expression prediction using histology images

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Computational pathology in cancer diagnosis, prognosis, and prediction – present day and prospects

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An overview and a roadmap for artificial intelligence in hematology and oncology

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From virtual to reality: innovative practices of digital twins in tumor therapy

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Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology

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Deep learning-based phenotyping reclassifies combined hepatocellular-cholangiocarcinoma

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Artificial intelligence applications in histopathology

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Artificial Intelligence‐Based Medical Sensors for Healthcare System

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Digital Pathology: Transforming Diagnosis in the Digital Age

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Deep Learning Approaches in Histopathology

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Large language models and multimodal foundation models for precision oncology

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Overcoming the challenges to implementation of artificial intelligence in pathology

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AI in Pathology: What could possibly go wrong?

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Application and Performance of Artificial Intelligence (AI) in Oral Cancer Diagnosis and Prediction Using Histopathological Images: A Systematic Review

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Illuminating the future of precision cancer surgery with fluorescence imaging and artificial intelligence convergence

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Predicting gene mutation status via artificial intelligence technologies based on multimodal integration (MMI) to advance precision oncology

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Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic adenocarcinoma

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Single-cell morphological and topological atlas reveals the ecosystem diversity of human breast cancer

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Artificial intelligence in liver cancer — new tools for research and patient management

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Deep learning using histological images for gene mutation prediction in lung cancer: a multicentre retrospective study

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A comprehensive review on key technologies toward smart healthcare systems based IoT: technical aspects, challenges and future directions

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Prediction of prognosis and treatment response in ovarian cancer patients from histopathology images using graph deep learning: a multicenter retrospective study

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A systematic analysis of deep learning in genomics and histopathology for precision oncology

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Harnessing artificial intelligence for prostate cancer management

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Advancing patient monitoring, diagnostics, and treatment strategies for transplant precision medicine

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New horizons at the interface of artificial intelligence and translational cancer research

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Unleashing the potential of AI for pathology: challenges and recommendations

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Transcriptomics-Guided Slide Representation Learning in Computational Pathology

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Histopathological bladder cancer gene mutation prediction with hierarchical deep multiple-instance learning

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Machine learning integrated graphene oxide‐based diagnostics, drug delivery, analytical approaches to empower cancer diagnosis

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Progress and challenges of artificial intelligence in lung cancer clinical translation

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The promise of data science for health research in Africa

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Multi-omics based artificial intelligence for cancer research

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Examining human-AI interaction in real-world healthcare beyond the laboratory

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AI-based histopathology image analysis reveals a distinct subset of endometrial cancers

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Performance of machine learning algorithms for lung cancer prediction: a comparative approach

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Direct prediction of genetic aberrations from pathology images in gastric cancer with swarm learning

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The promise of explainable deep learning for omics data analysis: Adding new discovery tools to AI

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Personalized Medicine in Urolithiasis: AI Chatbot-Assisted Dietary Management of Oxalate for Kidney Stone Prevention

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ESMO basic requirements for AI-based biomarkers in oncology (EBAI)

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Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review

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Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review

Redlich, J.-P., Feuerhake, F., Weis, J., Schaadt, N. S., Teuber‐Hanselmann, S., Buck, C., Luttmann, S., Eberle, A., Nikolin, S., Appenzeller, A., et al. (2024) · npj Imaging · doi:10.1038/s44303-024-00020-8 · Cited by 47 · see citing works

Digital pathology-based artificial intelligence models for differential diagnosis and prognosis of sporadic odontogenic keratocysts

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Artificial intelligence in cancer pathology: Applications, challenges, and future directions

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Recent Developments in Inertial and Centrifugal Microfluidic Systems along with the Involved Forces for Cancer Cell Separation: A Review

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Pathology in the artificial intelligence era: Guiding innovation and implementation to preserve human insight

Gaffney, H. J., & Mirza, K. (2025) · Academic Pathology · doi:10.1016/j.acpath.2025.100166 · Cited by 41 · see citing works

Artificial intelligence across the cancer care continuum

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Application of digital pathology‐based advanced analytics of tumour microenvironment organisation to predict prognosis and therapeutic response

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Pathomic Features Reveal Immune and Molecular Evolution From Lung Preneoplasia to Invasive Adenocarcinoma

Chen, P., Rojas, F. R., Hu, X., Serrano, A. G., Zhu, B., Chen, H., Hong, L., Bandyoyadhyay, R., Aminu, M., Kalhor, N., et al. (2023) · Modern Pathology · doi:10.1016/j.modpat.2023.100326 · Cited by 36 · see citing works

Current HRD assays in ovarian cancer: differences, pitfalls, limitations, and novel approaches

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Leveraging State-of-the-Art AI Algorithms in Personalized Oncology: From Transcriptomics to Treatment

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Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective study

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The Use of Artificial Intelligence in the Liver Histopathology Field: A Systematic Review

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Prediction of heart transplant rejection from routine pathology slides with self-supervised deep learning

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Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features

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Systematic inference of super-resolution cell spatial profiles from histology images

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Artificial Intelligence in the Pathology of Gastric Cancer

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Surgical Instrument Detection Algorithm Based on Improved YOLOv7x

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Innovation in Actinic Keratosis Assessment: Artificial Intelligence-Based Approach to LC-OCT PRO Score Evaluation

Daxenberger, F., Deußing, M., Eijkenboom, Q. L., Gust, C., Thamm, J. R., Hartmann, D., French, L. E., Welzel, J., Schuh, S., & Sattler, E. (2023) · Cancers · doi:10.3390/cancers15184457 · Cited by 31 · see citing works

Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer

Rigamonti, A., Viatore, M., Polidori, R., Rahal, D., Erreni, M., Fumagalli, M. R., Zanini, D., Doni, A., Putignano, A. R., Bossi, P., et al. (2024) · Cancer Research · doi:10.1158/0008-5472.can-23-1698 · Cited by 30 · see citing works

AIoT: Artificial Intelligence and the Internet of Things for Monitoring and Prognosis of Systems and Structures

Fu, H., Rao, J., Deng, F. Y., Wang, Y., Zhao, B., Liu, Z., Guan, H. Y., Malinowski, P., & Xu, L. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3557124 · Cited by 34 · see citing works

Transforming Diagnostics: A Comprehensive Review of Advances in Digital Pathology

Fatima, G., Al-Hmadi, H. B., Mahdi, A. A., Hadi, N. R., Fedačko, J., Magomedova, A. G., Parvez, S., & Raza, A. M. (2024) · Cureus · doi:10.7759/cureus.71890 · Cited by 29 · see citing works

NLP for Analyzing Electronic Health Records and Clinical Notes in Cancer Research: A Review

Bilal, M., Hamza, A., & Malik, N. (2025) · Journal of Pain and Symptom Management · doi:10.1016/j.jpainsymman.2025.01.019 · Cited by 29 · see citing works

Application of artificial intelligence and digital tools in cancer pathology

Shaktah, L., Carrero, Z. I., Hewitt, K. J., Gustav, M., Cecchini, M. J., Foersch, S., Berezowska, S., & Kather, J. N. (2025) · The Lancet Digital Health · doi:10.1016/j.landig.2025.100933 · Cited by 31 · see citing works

One label is all you need: Interpretable AI-enhanced histopathology for oncology

Tavolara, T. E., Su, Z., Gurcan, M. N., & Niazi, M. K. K. (2023) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2023.09.006 · Cited by 28 · see citing works

Transforming histologic assessment: artificial intelligence in cancer diagnosis and personalized treatment

Takamatsu, M. (2025) · British Journal of Cancer · doi:10.1038/s41416-025-03206-y · Cited by 9 · see citing works

AI in Computational Pathology of Cancer: Improving Diagnostic Workflows and Clinical Outcomes?

Çifçi, D., Veldhuizen, G. P., Foersch, S., & Kather, J. N. (2023) · Annual Review of Cancer Biology · doi:10.1146/annurev-cancerbio-061521-092038 · Cited by 41 · see citing works

Artificial intelligence applications in histopathology

Bahadir, C. D., Omar, M., Rosenthal, J., Marchionni, L., Liechty, B., Pisapia, D. J., & Sabuncu, M. R. (2024) · Nature Reviews Electrical Engineering · doi:10.1038/s44287-023-00012-7 · Cited by 84 · see citing works

Role of artificial intelligence in histopathological diagnosis of cancer current status and future directions

Mandhare, T. A., Kashid, P., Shinde, D., Khuspe, P. R., & Vyavahare, R. (2025) · IP Journal of diagnostic pathology and oncology/IP journal of diagnostic pathology and oncology/Journal of diagnostic pathology and oncology · doi:10.18231/j.jdpo.13188.1760597279

AI in Histopathology Explorer for comprehensive analysis of the evolving AI landscape in histopathology

Ma, Y., Jamdade, S., Konduri, L., & Sailem, H. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01524-2 · Cited by 29 · see citing works