Oncology/Hematology

Radiomic Models Predict Tumor Microenvironment Using Artificial Intelligence-the Novel Biomarkers in Breast Cancer Immune Microenvironment.

Breast cancer is the most common malignancy in women, and some subtypes are associated with a poor prognosis with a lack of efficacious therapy. Moreover, immunotherapy and the use of other novel antibody‒drug conjugates have been rapidly incorporated into the standard management of advanced breast cancer. To extract more benefit from these therapies, clarifying and monitoring the tumor microenvir...

Machine learning in predicting gastric cancer survival Presenting a novel decision support system model.

BACKGROUND: Gastric cancer is the 4th most frequent cause of cancer-related deaths, with a 5-year survival rate of less than 40%. In recent years, many artificial intelligence applications have been used in the field of gastric cancer through their effective computing and learning ability. In this study, we aim to develop a software that can accurately detect overall survival in gastric cancer cas...

Comparison of short term results following robotic and laparoscopic total gastrectomy and D2 lymph node dissection.

In the last decade, there has been a progressive shift from open to mini-invasive operative techniques for surgical resection of gastric cancer. Advan...

Artificial intelligence in breast cancer diagnostics.

Since breast cancer deaths are mainly due to metastasis, predicting the risk that a primary tumor will develop metastasis after a first diagnosis is a...

Feasibility of robot-assisted radical prostatectomy in men at senior age ≥75 years: perioperative, functional, and oncological outcomes of a high-volume center.

OBJECTIVES: The aim of this study was to assess whether age ≥75 years impairs surgical, functional, and oncological outcomes after robot-assisted radi...

Artificial intelligence 101 for veterinary diagnostic imaging.

The prevalence and pervasiveness of artificial intelligence (AI) with medical images in veterinary and human medicine is rapidly increasing. This arti...

First, do no harm. Ethical and legal issues of artificial intelligence and machine learning in veterinary radiology and radiation oncology.

Artificial Intelligence and machine learning are novel technologies that will change the way veterinary medicine is practiced. Exactly how this change...

Identifying Nonpatient Authors of Patient Portal Secure Messages in Oncology: A Proof-of-Concept Demonstration of Natural Language Processing Methods.

PURPOSE: Patient portal secure messages are not always authored by the patient account holder. Understanding who authored the message is particularly ...

[A Case of Gastric Granular Cell Tumor Resected by a Surgical Robot].

A 46-year-old man was referred to further treatment for a 20 mm submucosal tumor at the gastric angle found during a medical check-up. Endoscopic ultr...

[A Case of Robotic Distal Pancreatectomy for Pancreatic Metastasis of Gastric Cancer].

A 78-year-old male who had received laparoscopic total gastrectomy for upper gastric cancer 30 months ago(pT3N0, pStage ⅡB)was referred for further tr...

[A Case of Malignant Peripheral Nerve Sheath Tumor of the Anus Resected by Robot Assisted-APR].

An 81-year-old female visited a local hospital with complaints of anal pain. A tumor was found on the right side of her anus, and the histopathologica...

[Clinical Outcome of Robot-Assisted Distal Pancreatectomy in Our Institutional Introduction].

We evaluated the clinical outcome and assessed the safety of robot-assisted distal pancreatectomy(RADP)of early 5 cases in our institutional introduct...

[A Case of Robot-Assisted Abdominoperineal Resection with Prostatectomy for Locally Advanced Rectal Cancer].

The patient was referred to our hospital because of bloody stool and anorectal pain, and a colonoscopy revealed a tumor in the lower rectum. Although ...

[Application of robot-assisted laparoscopic sentinel lymph node tracing in treating endometrial carcinoma].

To investigate the value of robot-assisted laparoscopic indocyanine green sentinel lymph node (SLN) tracing in treating endometrial carcinoma. Thirt...

Instantaneous photosynthetically available radiation models for ocean waters using neural networks.

Instantaneous photosynthetically available radiation (IPAR) at the ocean surface and its vertical profile below the surface play a critical role in mo...

Deep learning radiomics under multimodality explore association between muscle/fat and metastasis and survival in breast cancer patients.

Sarcopenia is correlated with poor clinical outcomes in breast cancer (BC) patients. However, there is no precise quantitative study on the correlatio...

ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data.

Breast cancer patients often have recurrence and metastasis after surgery. Predicting the risk of recurrence and metastasis for a breast cancer patien...

Predicting colorectal cancer tumor mutational burden from histopathological images and clinical information using multi-modal deep learning.

MOTIVATION: Tumor mutational burden (TMB) is an indicator of the efficacy and prognosis of immune checkpoint therapy in colorectal cancer (CRC). In ge...

Differentiation of breast lesions on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) using deep transfer learning based on DenseNet201.

In order to achieve better performance, artificial intelligence is used in breast cancer diagnosis. In this study, we evaluated the efficacy of differ...

[Clinical analysis of three-dimensional surgical planning system for guiding robot-assisted selective artery clamping partial nephrectomy in completely endophytic renal tumor].

To examine the safety and feasibility of three-dimensional (3D) surgical planning system for guiding robot-assisted selective artery clamping partial...