Oncology/Hematology

Latest AI and machine learning research in oncology/hematology for healthcare professionals.

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Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence.

Despite advances in precision oncology, clinical decision-making still relies on limited variables a...

Machine learning models for water safety enhancement.

Humans encounter both natural and artificial radiation sources, including cosmic rays, primordial ra...

Integrating multiomics analysis and machine learning to refine the molecular subtyping and prognostic analysis of stomach adenocarcinoma.

Stomach adenocarcinoma (STAD) is a common malignancy with high heterogeneity and a lack of highly pr...

Applying YOLOv6 as an ensemble federated learning framework to classify breast cancer pathology images.

The most common carcinoma-related cause of death among women is breast cancer. Early detection is cr...

Identification of Intracranial Germ Cell Tumors Based on Facial Photos: Exploratory Study on the Use of Deep Learning for Software Development.

BACKGROUND: Primary intracranial germ cell tumors (iGCTs) are highly malignant brain tumors that pre...

ASGCL: Adaptive Sparse Mapping-based graph contrastive learning network for cancer drug response prediction.

Personalized cancer drug treatment is emerging as a frontier issue in modern medical research. Consi...

A radiopathomics model for predicting large-number cervical lymph node metastasis in clinical N0 papillary thyroid carcinoma.

OBJECTIVES: This study aimed to develop a multimodal radiopathomics model utilising preoperative ult...

Deep Learning-Assisted Computer-Aided Diagnosis System for Early Detection of Lung Cancer.

PURPOSE: The largest cause of cancer-related fatalities worldwide is lung cancer. The dimensions and...

Radiogenomic explainable AI with neural ordinary differential equation for identifying post-SRS brain metastasis radionecrosis.

BACKGROUND: Stereotactic radiosurgery (SRS) is widely used for managing brain metastases (BMs), but ...

Spatially resolved transcriptomics and graph-based deep learning improve accuracy of routine CNS tumor diagnostics.

The diagnostic landscape of brain tumors integrates comprehensive molecular markers alongside tradit...

Intricacies of human-AI interaction in dynamic decision-making for precision oncology.

AI decision support systems can assist clinicians in planning adaptive treatment strategies that can...

Artificial intelligence for image recognition in diagnosing oral and oropharyngeal cancer and leukoplakia.

Visual diagnosis is one of the key features of squamous cell carcinoma of the oral cavity (OSCC) and...

Leveraging survival analysis and machine learning for accurate prediction of breast cancer recurrence and metastasis.

Breast cancer, with its high incidence and mortality globally, necessitates early prediction of loca...

A novel approach in cancer diagnosis: integrating holography microscopic medical imaging and deep learning techniques-challenges and future trends.

Medical imaging is pivotal in early disease diagnosis, providing essential insights that enable time...

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