AIMC Topic: Medical Oncology
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Pearls and pitfalls of ChatGPT in medical oncology.
Trends in cancer
Jul 4, 2023
Recently, ChatGPT has drawn attention to the potential uses of artificial intelligence (AI) in academia. Here, we discuss how ChatGPT can be of value to medicine and medical oncology and the potential pitfalls that may be encountered.
Artificial intelligence-aided optical imaging for cancer theranostics.
Seminars in cancer biology
Jun 10, 2023
The use of artificial intelligence (AI) to assist biomedical imaging have demonstrated its high accuracy and high efficiency in medical decision-making for individualized cancer medicine. In particular, optical imaging methods are able to visualize b...
Use of Large Language Models and Artificial Intelligence Tools in Works Submitted to .
Journal of clinical oncology : official journal of the American Society of Clinical Oncology
May 18, 2023
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data.
BMC bioinformatics
May 15, 2023
BACKGROUND: There is an increasing interest in the use of Deep Learning (DL) based methods as a supporting analytical framework in oncology. However, most direct applications of DL will deliver models with limited transparency and explainability, whi...
Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology.
Scientific reports
May 6, 2023
Uncertainty estimation is crucial for understanding the reliability of deep learning (DL) predictions, and critical for deploying DL in the clinic. Differences between training and production datasets can lead to incorrect predictions with underestim...
Digital Transformation of Cancer Care in the Era of Big Data, Artificial Intelligence and Data-Driven Interventions: Navigating the Field.
Seminars in oncology nursing
May 1, 2023
OBJECTIVES: To navigate the field of digital cancer care and define and discuss key aspects and applications of big data analytics, artificial intelligence (AI), and data-driven interventions.
Future of Artificial Intelligence Applications in Cancer Care: A Global Cross-Sectional Survey of Researchers.
Current oncology (Toronto, Ont.)
Mar 16, 2023
Cancer significantly contributes to global mortality, with 9.3 million annual deaths. To alleviate this burden, the utilization of artificial intelligence (AI) applications has been proposed in various domains of oncology. However, the potential appl...
An overview and a roadmap for artificial intelligence in hematology and oncology.
Journal of cancer research and clinical oncology
Mar 15, 2023
BACKGROUND: Artificial intelligence (AI) is influencing our society on many levels and has broad implications for the future practice of hematology and oncology. However, for many medical professionals and researchers, it often remains unclear what A...
Clinical application of AI-based PET images in oncological patients.
Seminars in cancer biology
Mar 10, 2023
Based on the advantages of revealing the functional status and molecular expression of tumor cells, positron emission tomography (PET) imaging has been performed in numerous types of malignant diseases for diagnosis and monitoring. However, insuffici...
From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment.
Cell
Mar 10, 2023
Machine learning (ML) is increasingly used in clinical oncology to diagnose cancers, predict patient outcomes, and inform treatment planning. Here, we review recent applications of ML across the clinical oncology workflow. We review how these techniq...
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