Oncology/Hematology

SkinEHDLF a hybrid deep learning approach for accurate skin cancer classification in complex systems.

Skin cancer represents a significant global public health issue, and prompt and precise detection is...

Automatic smart brain tumor classification and prediction system using deep learning.

A brain tumor is a serious medical condition characterized by the abnormal growth of cells within th...

Deep learning for malignant lymph node segmentation and detection: a review.

Radiation therapy remains a cornerstone in the treatment of cancer, with the delineation of Organs a...

Predictive modeling of response to repetitive transcranial magnetic stimulation in treatment-resistant depression.

Identifying predictors of treatment response to repetitive transcranial magnetic stimulation (rTMS) ...

Integrating attention networks into a hybrid model for HER2 status prediction in breast cancer.

Breast cancer is one of the most prevalent cancers amongst women, caused by uncontrolled cell growth...

Peritoneal cytology predicting distant metastasis in uterine carcinosarcoma: machine learning model development and validation.

OBJECTIVE: This study develops and validates a machine learning model using peritoneal cytology to p...

A deep learning-based multimodal medical imaging model for breast cancer screening.

In existing breast cancer prediction research, most models rely solely on a single type of imaging d...

A systematic review of machine learning algorithms for breast cancer detection.

Breast cancer is one of the leading causes of death and morbidity among women worldwide. Identifying...

Diagnostic Adjuncts and Biopsy Techniques for Oral Potentially Malignant Disorders and Oral Cavity Squamous Cell Carcinoma.

Diagnostic adjuncts for oral potentially malignant disorders such as leukoplakia or erythroplakia ca...

Personalized radiotherapy doses from the integration of mathematical oncology and machine learning.

Circulating miRNAs in genitourinary cancer: pioneering advances in early detection and diagnosis.

MicroRNAs (miRNAs) are noncoding, single-stranded RNAs molecules modulating gene expression thanks t...

A pioneering artificial intelligence tool to predict treatment outcomes in ovarian cancer via diagnostic laparoscopy.

Ovarian cancer is associated with high rates of patient mortality and morbidity. Laparoscopic assess...

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study.

PURPOSE: Anti-PD-1 antibodies are widely used for cancer treatment, including in advanced renal cell...

A novel cancer-associated fibroblast-related gene signature for predicting diffuse large B cell lymphoma prognosis using weighted gene co-expression network analysis and machine learning.

ObjectiveOur objective was to investigate a novel cancer-associated fibroblast-related gene signatur...

Risk prediction model for chemotherapy-induced nausea and vomiting in cancer patients: a systematic review.

BACKGROUND: Chemotherapy-induced nausea and vomiting increase the healthcare burden and lead to adve...

Intelligent Diagnosis of Cervical Lymph Node Metastasis Using a CNN Model.

Lymph node (LN) metastasis is a prevalent cause of recurrence in oral squamous cell carcinoma (OSCC)...

Exploring morphological heterogeneity of circulating tumor cells: machine learning-based approach for cell identification and prognostic implications.

Breast Pathology Through the Digital Lens.

Digital pathology (DP) has significantly transformed breast pathology at Mount Sinai Hospital by enh...

Can ChatGPT provide parent education for oral immunotherapy?

BACKGROUND: Oral Immunotherapy (OIT) has exhibited great potential in the treatment of food allergy....

A novel nomogram based on machine learning predicting overall survival for hepatocellular carcinoma patients with dynamic α‑fetoprotein level changes after local resection.

The principal aim of the present study was to develop and validate a nomogram predicting overall sur...

Artificial Intelligence in bone Metastases: A systematic review in guideline adherence of 92 studies.

BACKGROUND: The last decade has witnessed a surge in artificial intelligence (AI). With bone metasta...