Current role of cytopathology in the molecular and computational era: The perspective of young pathologists
Cytopathology represents a well established diagnostic approach because of its limited cost,
reliability, and minimal invasiveness with respect to other methodologies. The evolving …
reliability, and minimal invasiveness with respect to other methodologies. The evolving …
Disentangled explanations of neural network predictions by finding relevant subspaces
Explainable AI aims to overcome the black-box nature of complex ML models like neural
networks by generating explanations for their predictions. Explanations often take the form of …
networks by generating explanations for their predictions. Explanations often take the form of …
Application of 3D/4D/5D and 6D Bioprinting in Cancer Research: How Does the Future Look Like?
The application of Three-and four-dimensional (3D/4D) printing in cancer research
represents a significant advancement in understanding and addressing the complexities of …
represents a significant advancement in understanding and addressing the complexities of …
Decoupling pixel flipping and occlusion strategy for consistent xai benchmarks
Feature removal is a central building block for eXplainable AI (XAI), both for occlusion-based
explanations (Shapley values) as well as their evaluation (pixel flipping, PF). However …
explanations (Shapley values) as well as their evaluation (pixel flipping, PF). However …
RudolfV: a foundation model by pathologists for pathologists
Histopathology plays a central role in clinical medicine and biomedical research. While
artificial intelligence shows promising results on many pathological tasks, generalization …
artificial intelligence shows promising results on many pathological tasks, generalization …
Diffeomorphic counterfactuals with generative models
Counterfactuals can explain classification decisions of neural networks in a human
interpretable way. We propose a simple but effective method to generate such …
interpretable way. We propose a simple but effective method to generate such …
The recent advances in the approach of artificial intelligence (AI) towards drug discovery
MK Khan, M Raza, M Shahbaz, I Hussain… - Frontiers in …, 2024 - frontiersin.org
Artificial intelligence (AI) has recently emerged as a unique developmental influence that is
playing an important role in the development of medicine. The AI medium is showing the …
playing an important role in the development of medicine. The AI medium is showing the …
Prognostic role of lymph node micrometastasis in oral and oropharyngeal cancer: A systematic review
P Liokatis, I Liokati, K Obermeier, W Smolka, F Ersan… - Oral Oncology, 2024 - Elsevier
Background An estimated 20% of patients with oral and oropharyngeal squamous cell
carcinoma (OOSCC) have micrometastases (Mi) or isolated tumor cells (ITC) in the cervical …
carcinoma (OOSCC) have micrometastases (Mi) or isolated tumor cells (ITC) in the cervical …
Effects of explainable artificial intelligence in neurology decision support
Objective Artificial intelligence (AI)‐based decision support systems (DSS) are utilized in
medicine but underlying decision‐making processes are usually unknown. Explainable AI …
medicine but underlying decision‐making processes are usually unknown. Explainable AI …
Advancing AI Integration into the Pathology Workflow: Exploring Opportunities in Gastrointestinal Tract Biopsies
F Yilmaz, A Brickman, F Najdawi, E Yakirevich… - Laboratory …, 2024 - Elsevier
This review aims to present a comprehensive overview of the current landscape of AI
applications in the analysis of tubular GI biopsies. These publications cover a spectrum of …
applications in the analysis of tubular GI biopsies. These publications cover a spectrum of …