Oncology/Hematology

Lung Cancer

Latest AI and machine learning research in lung cancer for healthcare professionals.

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New Strategies and Artificial Intelligence Methods for the Mitigation of Toxigenic Fungi and Mycotoxins in Foods.

The proliferation of toxigenic fungi in food and the subsequent production of mycotoxins constitute ...

Potential of artificial intelligence for radiation dose reduction in computed tomography -A scoping review.

INTRODUCTION: Artificial intelligence (AI) is now transforming medical imaging, with extensive ramif...

Cross language transformation of free text into structured lobectomy surgical records from a multi center study.

In a recent study, the effectiveness of GPT-4 Omni in transforming lobectomy surgical records into s...

Image-Based Deep Learning Model for Predicting Lymph Node Metastasis in Lung Adenocarcinoma With CT ≤ 2 cm.

BACKGROUND: Lymph node metastasis (LNM) poses a considerable threat to survival in lung adenocarcino...

Identifying GAP43, NMU, and TEX29 as Potential Prognostic Biomarkers for COPD Combined With Lung Cancer Patients Using Machine Learning.

Chronic obstructive pulmonary disease (COPD) and lung cancer, frequently comorbid conditions intrica...

Innovations in artificial intelligence for pet/mr imaging: Application and performance analysis.

BackgroundThe primary challenges in PET/MR imaging include prolonged scan durations for both PET and...

A Novel Deep Learning-based Pathomics Score for Prognostic Stratification in Pancreatic Ductal Adenocarcinoma.

BACKGROUND AND OBJECTIVES: Accurate survival prediction for pancreatic ductal adenocarcinoma (PDAC) ...

Artificial intelligence-driven microsatellite instability profiling reveals distinctive genetic features in patients with lung cancer.

BACKGROUND: Microsatellite instability (MSI) has emerged as a predictive biomarker for immunotherapy...

Development of an automated photolysis rates prediction system based on machine learning.

Based on observed meteorological elements, photolysis rates (J-values) and pollutant concentrations,...

A physics-informed deep learning model for predicting beam dose distribution of intensity-modulated radiation therapy treatment plans.

BACKGROUND AND PURPOSE: We aimed to develop a physics-informed deep learning model for beam dose pre...

PD-L1 Scoring Models for Non-Small Cell Lung Cancer in China: Current Status, AI-Assisted Solutions and Future Perspectives.

Immunotherapy has revolutionized the diagnosis and treatment model for patients with advanced non-sm...

MoLPre: A Machine Learning Model to Predict Metastasis of cT1 Solid Lung Cancer.

Given that more than 20% of patients with cT1 solid NSCLC showed nodal or extrathoracic metastasis, ...

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