AIMC Topic: Medical Oncology
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Machine learning models including patient-reported outcome data in oncology: a systematic literature review and analysis of their reporting quality.
Journal of patient-reported outcomes
Nov 5, 2024
PURPOSE: To critically examine the current state of machine learning (ML) models including patient-reported outcome measure (PROM) scores in cancer research, by investigating the reporting quality of currently available studies and proposing areas of...
Harnessing explainable artificial intelligence for patient-to-clinical-trial matching: A proof-of-concept pilot study using phase I oncology trials.
PloS one
Oct 24, 2024
This study aims to develop explainable AI methods for matching patients with phase 1 oncology clinical trials using Natural Language Processing (NLP) techniques to address challenges in patient recruitment for improved efficiency in drug development....
Applications of artificial intelligence in interventional oncology: An up-to-date review of the literature.
Japanese journal of radiology
Oct 2, 2024
Interventional oncology provides image-guided therapies, including transarterial tumor embolization and percutaneous tumor ablation, for malignant tumors in a minimally invasive manner. As in other medical fields, the application of artificial intell...
A Survey of Perspectives and Educational Needs of Canadian Oncology Residents on Artificial Intelligence.
Journal of cancer education : the official journal of the American Association for Cancer Education
Sep 30, 2024
This study evaluated the perspectives and educational needs of Canadian oncology residents with regard to artificial intelligence (AI) in medicine, exploring the influence of factors such as program of choice, gender, and tech literacy on their attit...
Assessing the Reporting Quality of Machine Learning Algorithms in Head and Neck Oncology.
The Laryngoscope
Sep 11, 2024
OBJECTIVE: This study aimed to assess reporting quality of machine learning (ML) algorithms in the head and neck oncology literature using the TRIPOD-AI criteria.
The scienthetic method: from Aristotle to AI and the future of medicine.
British journal of cancer
Sep 3, 2024
While AI holds immense potential for accelerating advances in oncology, we must be intentional in developing and applying these technologies responsibly, equitably, and ethically. One path forward is for cancer care providers and researchers to be am...
The Role of Artificial Intelligence on Tumor Boards: Perspectives from Surgeons, Medical Oncologists and Radiation Oncologists.
Current oncology (Toronto, Ont.)
Aug 27, 2024
The integration of multidisciplinary tumor boards (MTBs) is fundamental in delivering state-of-the-art cancer treatment, facilitating collaborative diagnosis and management by a diverse team of specialists. Despite the clear benefits in personalized ...
Artificial intelligence: A transformative tool in precision oncology.
Oncotarget
Aug 26, 2024
Artificial intelligence (AI) is revolutionizing society and healthcare, offering new possibilities for precision medicine. Immunotherapy in oncology (IO) has similarly transformed cancer treatment through novel mechanisms of therapeutic action, but h...
Exploring the role of artificial intelligence, large language models: Comparing patient-focused information and clinical decision support capabilities to the gynecologic oncology guidelines.
International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
Aug 20, 2024
Gynecologic cancer requires personalized care to improve outcomes. Large language models (LLMs) hold the potential to provide intelligent question-answering with reliable information about medical queries in clear and plain English, which can be unde...
The Accuracy of Artificial Intelligence ChatGPT in Oncology Examination Questions.
Journal of the American College of Radiology : JACR
Aug 2, 2024
The aim of this study is to assess the accuracy of Chat Generative Pretrained Transformer (ChatGPT) in response to oncology examination questions in the setting of one-shot learning. Consecutive national radiation oncology in-service multiple-choice ...
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