Oncology/Hematology

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

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Interpretable machine learning models for survival prediction in prostate cancer bone metastases.

Prostate cancer bone metastasis (PCBM) is a highly lethal condition with limited survival. Accurate ...

Machine learning models for predicting chemotherapy-induced adverse drug reactions in colorectal cancer patients.

BACKGROUND: Chemotherapy-induced adverse drug reactions (ADRs) are common in patients with colorecta...

An integrated approach for key gene selection and cancer phenotype classification: Improving diagnosis and prediction.

The identification of key features and reliable phenotype classification remains pivotal in cancer r...

Interpretable artificial intelligence for modulated metasurface antenna design using SHAP and MLP.

Modulated metasurface-based leaky-wave antennas have garnered increasing attention due to their low ...

Integrating artificial intelligence in healthcare: applications, challenges, and future directions.

Artificial intelligence (AI) has demonstrated remarkable potential in transforming medical diagnosti...

The Impact of Machine Learning Mortality Risk Prediction on Clinician Prognostic Accuracy and Decision Support: A Randomized Vignette Study.

BackgroundMachine learning (ML) algorithms may improve the prognosis for serious illnesses such as c...

Improving risk assessment of local failure in brain metastases patients using vision transformers - A multicentric development and validation study.

BACKGROUND AND PURPOSE: This study investigates the use of Vision Transformers (ViTs) to predict Fre...

Robot-Assisted Retrograde Intrarenal Surgery: A Mini Review of the Literature on Robotic Surgery Platforms for Endoscopic Stone Surgery.

Retrograde intrarenal surgery (RIRS) has become a cornerstone in renal stone management, with roboti...

A comprehensive targeted panel of 295 genes: Unveiling key disease initiating and transformative biomarkers in multiple myeloma.

BACKGROUND: Multiple myeloma (MM) is a hematological malignancy that progresses from a benign precur...

Turkish medical oncologists' perspectives on integrating artificial intelligence: knowledge, attitudes, and ethical considerations.

BACKGROUND: Integrating artificial intelligence (AI), especially large language models (LLM) into on...

Multi-modality radiomics diagnosis of breast cancer based on MRI, ultrasound and mammography.

OBJECTIVE: To develop a multi-modality machine learning-based radiomics model utilizing Magnetic Res...

Accuracy and Reliability of ChatGPT in Answering Patient Questions About Lung Cancer and Its Surgery: An Expert Panel Evaluation by Thoracic Surgeons.

This study aimed to evaluate the accuracy, clarity, and scientific adequacy of ChatGPT's responses t...

Identification and single-cell analysis of prognostic genes related to mitochondrial and neutrophil extracellular traps in bladder cancer.

The development of bladder cancer (BLCA) is associated with mitochondrial dysfunction and neutrophil...

Machine learning combined with multi-omics to identify immune-related LncRNA signature as biomarkers for predicting breast cancer prognosis.

This study developed an immune-related long non-coding RNAs (lncRNAs)-based prognostic signature by ...

A tailored deep learning approach for early detection of oral cancer using a 19-layer CNN on clinical lip and tongue images.

Early and accurate detection of oral cancer plays a pivotal role in improving patient outcomes. This...

Responsible Artificial Intelligence governance in oncology.

The use of Artificial Intelligence (AI) in healthcare is expanding rapidly, including in oncology. A...

Machine learning-based prediction of G-CSF-induced hematopoietic stem cell mobilization outcomes in healthy volunteers.

Haematopoietic stem cell transplantation (HSC-T) has been established as a fundamental therapeutic i...

CNN based method for classifying cervical cancer cells in pap smear images.

The absence of reliable early treatment serves as one of the main causes of cervical cancer. Hence, ...

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