AIMC Topic: Medical Oncology

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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...
Medical Oncology Uncertainty Reproducibility of Results Deep Learning Bayes Theorem
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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.
Humans Neoplasms Medical Oncology Artificial Intelligence Big Data Digital Technology
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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...
Humans Neoplasms Artificial Intelligence Medical Oncology Cross-Sectional Studies Algorithms
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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...
Hematology Humans Artificial Intelligence Forecasting Medical Oncology
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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...
Neoplasms Image Processing, Computer-Assisted Positron-Emission Tomography Medical Oncology Humans Artificial Intelligence
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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...
Machine Learning Neoplasms Humans Diagnostic Imaging Medical Oncology
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Artificial intelligence in cancer immunotherapy: Applications in neoantigen recognition, antibody design and immunotherapy response prediction.

Seminars in cancer biology Mar 3, 2023
Cancer immunotherapy is a method of controlling and eliminating tumors by reactivating the body's cancer-immunity cycle and restoring its antitumor immune response. The increased availability of data, combined with advancements in high-performance co...
Humans Artificial Intelligence Neoplasms Medical Oncology Immunotherapy Precision Medicine
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Artificial intelligence and digital biomarker in precision pathology guiding immune therapy selection and precision oncology.

Cancer reports (Hoboken, N.J.) Feb 22, 2023
BACKGROUND: The currently available immunotherapies already changed the strategy how many cancers are treated from first to last line. Understanding even the most complex heterogeneity in tumor tissue and mapping the spatial cartography of the tumor ...
Precision Medicine Biomarkers Neoplasms Tumor Microenvironment Humans Medical Oncology Artificial Intelligence
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Machine learning approaches to predict drug efficacy and toxicity in oncology.

Cell reports methods Feb 21, 2023
In recent years, there has been a surge of interest in using machine learning algorithms (MLAs) in oncology, particularly for biomedical applications such as drug discovery, drug repurposing, diagnostics, clinical trial design, and pharmaceutical pro...
Drug Discovery Medical Oncology Artificial Intelligence Machine Learning Algorithms
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Predicting gene mutation status via artificial intelligence technologies based on multimodal integration (MMI) to advance precision oncology.

Seminars in cancer biology Feb 19, 2023
Personalized treatment strategies for cancer frequently rely on the detection of genetic alterations which are determined by molecular biology assays. Historically, these processes typically required single-gene sequencing, next-generation sequencing...
Medical Oncology Humans Neoplasms Artificial Intelligence Diagnostic Imaging Precision Medicine
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