AI Medical Compendium Topic:
Neoplasms

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Evaluating the efficacy of artificial intelligence tools for the automation of systematic reviews in cancer research: A systematic review.

Cancer epidemiology
To evaluate the performance accuracy and workload savings of artificial intelligence (AI)-based automation tools in comparison with human reviewers in medical literature screening for systematic reviews (SR) of primary studies in cancer research in o...

The ENGAGE study: evaluation of a conversational virtual agent that provides tailored pre-test genetic education to cancer patients.

Journal of cancer survivorship : research and practice
PURPOSE: Novel approaches are needed to ensure all patients with cancer have access to quality genetic education before genetic testing to enable informed treatment decisions. The purpose of this study was to test the use of an artificial intelligenc...

Medical imaging and multimodal artificial intelligence models for streamlining and enhancing cancer care: opportunities and challenges.

Expert review of anticancer therapy
INTRODUCTION: Artificial intelligence (AI) has the potential to transform oncologic care. There have been significant developments in AI applications in medical imaging and increasing interest in multimodal models. These are likely to enable improved...

An interpretable artificial intelligence framework for designing synthetic lethality-based anti-cancer combination therapies.

Journal of advanced research
INTRODUCTION: Synthetic lethality (SL) provides an opportunity to leverage different genetic interactions when designing synergistic combination therapies. To further explore SL-based combination therapies for cancer treatment, it is important to ide...

In silico evolution of autoinhibitory domains for a PD-L1 antagonist using deep learning models.

Proceedings of the National Academy of Sciences of the United States of America
There has been considerable progress in the development of computational methods for designing protein-protein interactions, but engineering high-affinity binders without extensive screening and maturation remains challenging. Here, we test a protein...

Artificial intelligence in cancer diagnosis: Opportunities and challenges.

Pathology, research and practice
Since cancer is one of the world's top causes of death, early diagnosis is critical to improving patient outcomes. Artificial intelligence (AI) has become a viable technique for cancer diagnosis by using machine learning algorithms to examine large v...

ChatGPT as an aid for pathological diagnosis of cancer.

Pathology, research and practice
Diagnostic workup of cancer patients is highly reliant on the science of pathology using cytopathology, histopathology, and other ancillary techniques like immunohistochemistry and molecular cytogenetics. Data processing and learning by means of arti...

Use of sentiment analysis for capturing hospitalized cancer patients' experience from free-text comments in the Persian language.

BMC medical informatics and decision making
PURPOSE: Today, the Internet provides access to many patients' experiences, which is crucial in assessing the quality of healthcare services. This paper introduces a model for detecting cancer patients' opinions about healthcare services in the Persi...

Quantitative Modeling of Stemness in Single-Cell RNA Sequencing Data: A Nonlinear One-Class Support Vector Machine Method.

Journal of computational biology : a journal of computational molecular cell biology
Intratumoral heterogeneity and the presence of cancer stem cells are challenging issues in cancer therapy. An appropriate quantification of the stemness of individual cells for assessing the potential for self-renewal and differentiation from the cel...

Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment.

Journal of hematology & oncology
Research into the potential benefits of artificial intelligence for comprehending the intricate biology of cancer has grown as a result of the widespread use of deep learning and machine learning in the healthcare sector and the availability of highl...