Oncology/Hematology

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

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Type 2 Diabetes Mellitus Remission, Dream or Reality? A Narrative Review of Current Evidence and Integrated Care Strategies.

Type 2 diabetes mellitus (T2DM) is a global health priority, with an estimated 629 million people pr...

Assessment of outcomes and machine Learning-based models to predict local failure risk following stereotactic radiosurgery for small brain metastases.

INTRODUCTION: We assessed the outcomes of stereotactic radiosurgery (SRS) for small intact brain met...

Exploring the potential of AI-powered applications for clinical decision-making in gynecologic oncology.

OBJECTIVE: The rise of artificial intelligence (AI) and large language models like Llama, Gemini, or...

Current concepts in the pathogenesis and clinical management of lymphangioleiomyomatosis.

PURPOSE OF REVIEW: Lymphangioleiomyomatosis (LAM) is a systemic, low-grade, metastasizing neoplasm t...

Classifying Stereotactic Radiosurgery Patients by Primary Diagnosis Using Natural Language Processing of Clinical Notes.

PURPOSE: Accurate identification of the primary tumor diagnosis of patients who have undergone stere...

Integrating Machine Learning Algorithms to Construct a Triaptosis-Related Prognostic Model in Melanoma.

INTRODUCTION: Melanoma is a highly aggressive skin cancer that accounts for a disproportionate numbe...

Analytical Comparison of Commonly Used Laboratory-Developed Tests for the Assessment of Ki-67 in Breast Carcinoma With an FDA-Approved Benchmark.

Ki-67 immunohistochemistry (IHC), a commonly used assay for breast cancer risk prognostication, has ...

Artificial intelligence for radiotherapy dose prediction: A comprehensive review.

Patient outcomes are significantly impacted by the effectiveness and quality of radiation treatment ...

AI-Supported Documentation and Clinical Monitoring in Palliative Care: A Real-World Observational Study.

BackgroundPatients in palliative care often experience prolonged hospital stays, requiring detailed ...

CT-based deep learning model for improved disease-free survival prediction in clinical stage I lung cancer: a real-world multicenter study.

OBJECTIVES: To develop a deep learning (DL) model for predicting disease-free survival (DFS) in clin...

Multi-omics integration of TPX2 in prognostic prediction in resectable hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is a malignant tumor with high incidence and mortality rates globally...

Summary Report of the SNMMI AI Task Force Radiomics Challenge 2024.

In medical imaging, challenges are competitions that aim to provide a fair comparison of different m...

Preirradiation of Spheroids with Ac-Trastuzumab Improves Penetration of Ac-Liposomes and MIRDcell Predictions of Responses to Drug Cocktails.

This investigation examined the factors involved in predicting the responses of micrometastases to t...

OneTouch Automated Photoacoustic and Ultrasound Imaging of Breast in Standing Pose.

We developed an automated photoacoustic and ultrasound breast tomography system that images the pati...

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