AIMC Topic: Medical Oncology

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Are medical oncologists ready for the artificial intelligence revolution? Evaluation of the opinions, knowledge, and experiences of medical oncologists about artificial intelligence technologies.

Medical oncology (Northwood, London, England) Oct 9, 2023
The use of artificial intelligence technologies (AIT) in medicine is increasing worldwide. In this study, it was aimed to evaluate the experiences, opinions, and future expectations of medical oncologists on artificial intelligence (AI). After the re...
Humans Oncologists Adult Male Pilot Projects Medical Oncology Female Reproducibility of Results Artificial Intelligence
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Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review.

Clinical oncology (Royal College of Radiologists (Great Britain)) Sep 27, 2023
The present era has seen a surge in artificial intelligence-related research in oncology, mainly using deep learning, because of powerful computer hardware, improved algorithms and the availability of large amounts of data from open-source domains an...
Artificial Intelligence Neoplasms Humans Medical Oncology Deep Learning Diagnostic Imaging
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Artificial Intelligence-Based Tool for Tumor Detection and Quantitative Tissue Analysis in Colorectal Specimens.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Sep 6, 2023
Digital pathology adoption allows for applying computational algorithms to routine pathology tasks. Our study aimed to develop a clinical-grade artificial intelligence (AI) tool for precise multiclass tissue segmentation in colorectal specimens (rese...
Artificial Intelligence Algorithms Humans Radiopharmaceuticals Medical Oncology Colorectal Neoplasms Biopsy
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Artificial Intelligence Assists in the Detection of Blood Vessels in Whole Slide Images: Practical Benefits for Oncological Pathology.

Biomolecules Aug 29, 2023
The analysis of the microvasculature and the assessment of angiogenesis have significant prognostic value in various diseases, including cancer. The search for invasion into the blood and lymphatic vessels and the assessment of angiogenesis are impor...
Machine Learning Mouth Neoplasms Medical Oncology Microvessels Humans Artificial Intelligence
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Global serum profiling: an opportunity for earlier cancer detection.

Journal of experimental & clinical cancer research : CR Aug 15, 2023
The advances in cancer research achieved in the last 50 years have been remarkable and have provided a deeper knowledge of this disease in many of its conceptual and biochemical aspects. From viewing a tumor as a 'simple' aggregate of mutant cells an...
Neoplasms Carcinogenesis Medical Oncology Liquid Biopsy Humans Artificial Intelligence Biomarkers, Tumor
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Response to "Large language model artificial intelligence: the current state and future of ChatGPT in neuro-oncology publishing".

Journal of neuro-oncology Jul 13, 2023
Medical Oncology Artificial Intelligence Publishing Humans
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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 Medical Oncology Humans
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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...
Precision Medicine Neoplasms Humans Artificial Intelligence Medical Oncology Tomography, Optical Coherence
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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
Medical Oncology Artificial Intelligence Language Humans
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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...
Medical Oncology Biological Evolution Biology Humans Neoplasms Deep Learning
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