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Vital Hepatic Lymphoma Residuum or Excessive Immune Response? Challenging Treatment Decisions in a Patient With Systemic Lupus Erythematosus and Liver-Dominant Diffuse Large B-Cell Lymphoma: Case Report

Lars Kurch, Thomas W. Georgi, Astrid Monecke, Daniel Seehofer et al. • Frontiers in Oncology (2022)

A 28-year-old female patient with active and difficult-to-treat systemic lupus erythematosus (SLE) was diagnosed with liver-dominant diffused large B-cell lymphoma. Repeated response 18F-FDG-PET studies showed persistently high, and, despit...

DOAJ Open Access (DOAJ) DOI: 10.3389/fonc.2021.798757

Design of the Digital Pathology Workspace for Artificial Intelligence Integration

Elena Guerini-Rocco, Chiara Frascarelli, Joana Sorino, Francesca Maria Porta et al. • Applied Sciences (2026)

Designing an optimal digital pathology workspace is essential to ensure diagnostic accuracy and safeguard the long-term well-being of pathologists. While digital pathology improves reproducibility, facilitates multidisciplinary collaboratio...

DOAJ Open Access (DOAJ) DOI: 10.3390/app16126021

Women’s perceptions and attitudes towards the use of AI in mammography in Sweden: a qualitative interview study

Jennifer Viberg Johansson, Karin Dembrower, Fredrik Strand, Åsa Grauman • BMJ Open (2024)

Background Understanding women’s perspectives can help to create an effective and acceptable artificial intelligence (AI) implementation for triaging mammograms, ensuring a high proportion of screening-detected cancer. This study aimed to e...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjopen-2024-084014

Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types

Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Zunamys I. Carrero et al. • BMC Biology (2024)

Abstract Background Homologous recombination deficiency (HRD) is recognized as a pan-cancer predictive biomarker that potentially indicates who could benefit from treatment with PARP inhibitors (PARPi). Despite its clinical significance, HR...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12915-024-02022-9

Preoperative and Prognostic Prediction of Microvascular Invasion in Hepatocellular Carcinoma: A Review Based on Artificial Intelligence

Yu Jiang Master of Engineering, Kang Wang Master of Medicine, Yu-Ran Wang Master of Engineering, Yan-Jun Xiang Master of Medicine et al. • Technology in Cancer Research & Treatment (2023)

Microvascular invasion of hepatocellular carcinoma is an important factor affecting tumor recurrence after liver resection and liver transplantation. There are many ways to classify microvascular invasion, however, an international consensu...

DOAJ Open Access (DOAJ) DOI: 10.1177/15330338231212726

Artificial Intelligence in Pathology

Hye Yoon Chang, Chan Kwon Jung, Junwoo Isaac Woo, Sang-Hun Lee et al. • Journal of Pathology and Translational Medicine (2018)

As in other domains, artificial intelligence is becoming increasingly important in medicine. In particular,deep learning-based pattern recognition methods can advance the field of pathology byincorporating clinical, radiologic, and genomic ...

OPENALEX cc-by-nc DOI: https://doi.org/10.4132/jptm.2018.12.16 PMC: 6344799

Artificial intelligence in diagnostic pathology

Saba Shafi, Anil Vasdev Parwani • Diagnostic Pathology (2023)

Digital pathology (DP) is being increasingly employed in cancer diagnostics, providing additional tools for faster, higher-quality, accurate diagnosis. The practice of diagnostic pathology has gone through a staggering transformation wherei...

OPENALEX cc-by DOI: https://doi.org/10.1186/s13000-023-01375-z PMC: 10546747

Artificial Intelligence for Lentigo Maligna: Automated Margin Assessment via Sox-10-Based Melanocyte Density Mapping

Rieke Löper, Lennart Abels, Daniel Otero Baguer, Felix Bremmer et al. • Dermatopathology (2025)

Lentigo maligna (LM) is a melanoma in situ with high cumulative sun damage. Histological evaluation of resection margins is difficult and time-consuming. Melanocyte density (MD) is a suitable, quantifiable, and reproducible diagnostic crite...

DOAJ Open Access (DOAJ) DOI: 10.3390/dermatopathology13010001