Toward explainable artificial intelligence for precision pathology

F Klauschen, J Dippel, P Keyl… - Annual Review of …, 2024 - annualreviews.org
The rapid development of precision medicine in recent years has started to challenge
diagnostic pathology with respect to its ability to analyze histological images and …

Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives

NN Zhong, HQ Wang, XY Huang, ZZ Li, LM Cao… - Seminars in Cancer …, 2023 - Elsevier
Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …

[PDF][PDF] The deep DNA machine learning model to classify the tumor genome of patients with tumor sequencing

J Logeshwaran, N Adhikari, SS Joshi… - … Journal of Health …, 2022 - researchgate.net
In general, the various medical systems currently available provide insights into changes in
the tumor genome of patients with tumor sequencing. Most of the tumor DNA sequencing …

DNA methylation-based classification of sinonasal tumors

P Jurmeister, S Glöß, R Roller, M Leitheiser… - Nature …, 2022 - nature.com
The diagnosis of sinonasal tumors is challenging due to a heterogeneous spectrum of
various differential diagnoses as well as poorly defined, disputed entities such as sinonasal …

Classification of tumor types using XGBoost machine learning model: a vector space transformation of genomic alterations

V Zelli, A Manno, C Compagnoni, RO Ibraheem… - Journal of Translational …, 2023 - Springer
Background Machine learning (ML) represents a powerful tool to capture relationships
between molecular alterations and cancer types and to extract biological information. Here …

Prediction of DNA methylation-based tumor types from histopathology in central nervous system tumors with deep learning

DT Hoang, ED Shulman, R Turakulov, Z Abdullaev… - Nature Medicine, 2024 - nature.com
Precision in the diagnosis of diverse central nervous system (CNS) tumor types is crucial for
optimal treatment. DNA methylation profiles, which capture the methylation status of …

Molecular characteristics and improved survival prediction in a cohort of 2023 ependymomas

LC Pohl, M Leitheiser, D Obrecht, L Schweizer… - Acta …, 2024 - Springer
The diagnosis of ependymoma has moved from a purely histopathological review with
limited prognostic value to an integrated diagnosis, relying heavily on molecular information …

Data mining on identifying diagnosis and prognosis biomarkers in head and neck squamous carcinoma

G Ju, Z Yao, Y Zhao, X Zhao, F Liu - Scientific Reports, 2023 - nature.com
Head and neck squamous carcinoma (HNSC) induces high cancer-related death worldwide.
The biomarker screening on diagnosis and prognosis is of great importance. This research …

The current landscape of artificial intelligence in oral and maxillofacial surgery–a narrative review

RR Dang, B Kadaikal, SE Abbadi, BR Brar… - Oral and Maxillofacial …, 2025 - Springer
Objective This narrative review aims to explore the current applications and future prospects
of AI within the subfields of oral and maxillofacial surgery (OMS), emphasizing its potential …

Construction and analysis of a conjunctive diagnostic model of HNSCC with random forest and artificial neural network

Y Luo, L Zhou, F Yang, J Chen, J Chen, Y Wang - Scientific Reports, 2023 - nature.com
Head and neck squamous cell carcinoma (HNSCC) is a heterogeneous tumor that is highly
aggressive and ranks fifth among the most common cancers worldwide. Although, the …