Stem Cell Research

15-year biochemical failure, metastasis, salvage therapy, and cancer-specific and overall survival rates in men treated with robotic radical prostatectomy for PSA-screen detected prostate cancer.

BACKGROUND: An informed decision regarding a treatment option requires data on its long-term efficac...

Patient selection for proton therapy using Normal Tissue Complication Probability with deep learning dose prediction for oropharyngeal cancer.

BACKGROUND: In cancer care, determining the most beneficial treatment technique is a key decision af...

Stereotactic robot-assisted MRI-guided laser interstitial thermal therapy thalamotomy for medically intractable Parkinson's disease tremor: technical note and preliminary effects on 2 cases.

BACKGROUND: Medically intractable Parkinson's disease (PD) tremor is a common difficult clinical sit...

Survey and Evaluation of Hypertension Machine Learning Research.

Background Machine learning (ML) is pervasive in all fields of research, from automating tasks to co...

Effectiveness of to reduce inflammation markers and the length of stay of patients with community-acquired pneumonia: An open-label clinical trial.

Examination of the interleukin 6 (IL-6) and procalcitonin levels, and neutrophil-lymphocyte ratio (N...

Implementation and evaluation of an intelligent automatic treatment planning robot for prostate cancer stereotactic body radiation therapy.

PURPOSE: We previously developed a virtual treatment planner (VTP), an artificial intelligence robot...

A deep learning-based approach for statistical robustness evaluation in proton therapy treatment planning: a feasibility study.

. Robustness evaluation is critical in particle radiotherapy due to its susceptibility to uncertaint...

Deep learning enables MV-based real-time image guided radiation therapy for prostate cancer patients.

. Using MV images for real-time image guided radiation therapy (IGRT) is ideal as it does not requir...

More Process, Less Principles: The Ethics of Deploying AI and Robotics in Medicine.

Current national and international guidelines for the ethical design and development of artificial i...

[Ethics-by-design and its relevance for biotechnologies].

Ethics-by-design has been developed recently as an approach prompting developers of new technologies...

Ethics of using generative pretrained transformer and artificial intelligence systems for patient prior authorizations.

Biological Robots: Perspectives on an Emerging Interdisciplinary Field.

Advances in science and engineering often reveal the limitations of classical approaches initially u...

Realistic CT data augmentation for accurate deep-learning based segmentation of head and neck tumors in kV images acquired during radiation therapy.

BACKGROUND: Using radiation therapy (RT) to treat head and neck (H&N) cancers requires precise targe...

Deep learning of endoscopic features for the assessment of neoadjuvant therapy response in locally advanced rectal cancer.

BACKGROUND: For locally advanced rectal cancer (LARC), accurate response evaluation is necessary to ...

Interpretable attention-based deep learning ensemble for personalized ovarian cancer treatment without manual annotations.

Inhibition of pathological angiogenesis has become one of the first FDA approved targeted therapies ...

Deep learning improves prediction of periodontal therapy effectiveness in Chinese patients.

THE OBJECTIVE: This study aims to propose a new model to predict the specific treatment effectivenes...

Blinded, randomized trial of sonographer versus AI cardiac function assessment.

Artificial intelligence (AI) has been developed for echocardiography, although it has not yet been t...

Review of Robot-Assisted HIFU Therapy.

This paper provides an overview of current robot-assisted high-intensity focused ultrasound (HIFU) s...

Synthetic biology, genetic circuits and machine learning: a new age of cancer therapy.

Synthetic biology has made it possible to rewire natural cellular responses to treat disease, notabl...

Active mesh and neural network pipeline for cell aggregate segmentation.

Segmenting cells within cellular aggregates in 3D is a growing challenge in cell biology due to impr...

Assessment of artificial intelligence-based remote monitoring of clear aligner therapy: A prospective study.

INTRODUCTION: Artificial intelligence remote monitoring of clear aligner therapy has recently gained...