Oncology/Hematology

Other Cancers

Latest AI and machine learning research in other cancers for healthcare professionals.

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Artificial intelligence in gastrointestinal cancer research: Image learning advances and applications.

With the rapid advancement of artificial intelligence (AI) technologies, including deep learning, la...

A metabolic fingerprint of ovarian cancer: a novel diagnostic strategy employing plasma EV-based metabolomics and machine learning algorithms.

Ovarian cancer (OC) is the third most common malignant tumor of women and is accompanied by an alter...

A machine learning-based investigation of integrin expression patterns in cancer and metastasis.

Integrins, a family of transmembrane receptor proteins, are well known to play important roles in ca...

Cross prior Bayesian attention with correlated inception and residual learning for brain tumor classification using MR images (CB-CIRL Net).

BACKGROUND: Brain tumor classification from magnetic resonance (MR) images is crucial for early diag...

Artificial intelligence-assisted point-of-care devices for lung cancer.

Lung cancer is the leading cause of cancer-related deaths worldwide, primarily due to late-stage det...

ChatExosome: An Artificial Intelligence (AI) Agent Based on Deep Learning of Exosomes Spectroscopy for Hepatocellular Carcinoma (HCC) Diagnosis.

Large language models (LLMs) hold significant promise in the field of medical diagnosis. There are s...

Detection of metastatic breast carcinoma in sentinel lymph node frozen sections using an artificial intelligence-assisted system.

We developed an automatic method based on a convolutional neural network (CNN) that identifies metas...

A novel method for screening malignant hematological diseases by constructing an optimal machine learning model based on blood cell parameters.

BACKGROUND: Screening of malignant hematological diseases is of great importance for their diagnosis...

A promising AI based super resolution image reconstruction technique for early diagnosis of skin cancer.

Skin cancer can be prevalent in people of any age group who are exposed to ultraviolet (UV) radiatio...

A privacy-preserved horizontal federated learning for malignant glioma tumour detection using distributed data-silos.

Malignant glioma is the uncontrollable growth of cells in the spinal cord and brain that look simila...

Deformation registration based on reconstruction of brain MRI images with pathologies.

Deformable registration between brain tumor images and brain atlas has been an important tool to fac...

An accurate and trustworthy deep learning approach for bladder tumor segmentation with uncertainty estimation.

BACKGROUND AND OBJECTIVE: Although deep learning-based intelligent diagnosis of bladder cancer has a...

Real-Time, AI-Guided Photodynamic Laparoscopy Enhances Detection in a Rabbit Model of Peritoneal Cancer Metastasis.

Accurate diagnosis is essential for effective cancer treatment, particularly in peritoneal surface m...

Machine Learning-Enabled Non-Invasive Screening of Tumor-Associated Circulating Transcripts for Early Detection of Colorectal Cancer.

Colorectal cancer (CRC) is a major cause of cancer-related mortality, highlighting the need for accu...

Machine learning prediction of breast cancer local recurrence localization, and distant metastasis after local recurrences.

Local recurrences (LR) can occur within residual breast tissue, chest wall, skin, or newly formed sc...

Identifying invasiveness to aid lung adenocarcinoma diagnosis using deep learning and pathomics.

Most classification efforts for primary subtypes of lung adenocarcinoma (LUAD) have not yet been int...

Comparative performance of multiple ensemble learning models for preoperative prediction of tumor deposits in rectal cancer based on MR imaging.

Ensemble learning can effectively mitigate the risk of model overfitting during training. This study...

PhysioEx: a new Python library for explainable sleep staging through deep learning.

Sleep staging is a crucial task in clinical and research contexts for diagnosing and understanding s...

WaveSleepNet: An Interpretable Network for Expert-Like Sleep Staging.

Although deep learning algorithms have proven their efficiency in automatic sleep staging, their "bl...

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