Oncology/Hematology

Lung Cancer

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

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Showing 22-42 of 8,029 articles
Deep learning neural network of adenocarcinoma detection in effusion cytology.

OBJECTIVE: Cytologic examination, which confirms the presence or absence of malignant cells, detects...

Time-series X-ray image prediction of dental skeleton treatment progress via neural networks.

Accurate prediction of skeletal changes during orthodontic treatment in growing patients remains cha...

Evaluating crop yield prediction models in illinois using aquacrop, semi-physical model and artificial neural networks.

Crop yield is important for agricultural productivity and the country's economy. While crop yield es...

Harnessing infrared thermography and multi-convolutional neural networks for early breast cancer detection.

Breast cancer is a relatively common carcinoma among women worldwide and remains a considerable publ...

Sequence-based virtual screening using transformers.

Protein-ligand interactions play central roles in myriad biological processes and are of key importa...

Advancements in lung cancer: molecular insights, innovative therapies, and future prospects.

Still among the most common and deadly cancers worldwide, lung cancer causes major morbidity and dea...

Automated radiotherapy treatment planning guided by GPT-4Vision.

. Radiotherapy treatment planning is a time-consuming and potentially subjective process that requir...

Recent advances in applying machine learning to proton radiotherapy.

.: In radiation oncology, precision and timeliness of both planning and treatment are paramount valu...

The safety and accuracy of radiation-free spinal navigation using a short, scoliosis-specific BoneMRI-protocol, compared to CT.

PURPOSE: Spinal navigation systems require pre- and/or intra-operative 3-D imaging, which expose you...

Establishment of two pathomic-based machine learning models to predict CLCA1 expression in colon adenocarcinoma.

Chloride channel accessory 1 (CLCA1) is considered a potential prognostic biomarker for colon adenoc...

Effect of arc length on the deep learning prediction of monitor units in lung stereotactic ablative radiation therapy treatment.

INTRODUCTION: The dose magnitude required to fine-tune radiation in multi-lesion stereotactic ablati...

Collaborative assessment of the risk of postoperative progression in early-stage non-small cell lung cancer: a robust federated learning model.

BACKGROUND: While the TNM staging system provides valuable insights into the extent of disease, pred...

Image-based inference of tumor cell trajectories enables large-scale cancer progression analysis.

Current approaches to estimating cell trajectories, tumor progression dynamics, and cell population ...

AI Prognostication in Nonsmall Cell Lung Cancer: A Systematic Review.

The systematic literature review was performed on the use of artificial intelligence (AI) algorithms...

Clinical Translation of Integrated PET-MRI for Neurodegenerative Disease.

The prevalence of Alzheimer's disease and other dementias is increasing as populations live longer l...

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