AIMC Topic: Medical Oncology

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Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing.

Journal of the American Medical Informatics Association : JAMIA Jun 20, 2024
OBJECTIVE: Leverage electronic health record (EHR) audit logs to develop a machine learning (ML) model that predicts which notes a clinician wants to review when seeing oncology patients.
Machine Learning Electronic Health Records Humans Metadata Proof of Concept Study Medical Audit Logistic Models Medical Oncology
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A Health Care Clinical Data Platform for Rapid Deployment of Artificial Intelligence and Machine Learning Algorithms for Cancer Care and Oncology Clinical Trials.

North Carolina medical journal Jun 1, 2024
The xCures platform aggregates, organizes, structures, and normalizes clinical EMR data across care sites, utilizing advanced technologies for near real-time access. The platform generates data in a format to support clinical care, accelerate researc...
Algorithms Electronic Health Records Artificial Intelligence Machine Learning Medical Oncology Clinical Trials as Topic Neoplasms Decision Support Systems, Clinical Humans
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Challenges and perspectives in use of artificial intelligence to support treatment recommendations in clinical oncology.

Cancer medicine Jun 1, 2024
Artificial intelligence (AI) promises to be the next revolutionary step in modern society. Yet, its role in all fields of industry and science need to be determined. One very promising field is represented by AI-based decision-making tools in clinica...
Humans Decision Support Systems, Clinical Medical Oncology Clinical Decision-Making Artificial Intelligence Neoplasms Precision Medicine
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Artificial intelligence to unlock real-world evidence in clinical oncology: A primer on recent advances.

Cancer medicine Jun 1, 2024
PURPOSE: Real world evidence is crucial to understanding the diffusion of new oncologic therapies, monitoring cancer outcomes, and detecting unexpected toxicities. In practice, real world evidence is challenging to collect rapidly and comprehensively...
Medical Oncology Artificial Intelligence Neoplasms Humans
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Characterizing the Increase in Artificial Intelligence Content Detection in Oncology Scientific Abstracts From 2021 to 2023.

JCO clinical cancer informatics May 1, 2024
PURPOSE: Artificial intelligence (AI) models can generate scientific abstracts that are difficult to distinguish from the work of human authors. The use of AI in scientific writing and performance of AI detection tools are poorly characterized.
Abstracting and Indexing Humans Artificial Intelligence Medical Oncology
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Extraction and Imputation of Eastern Cooperative Oncology Group Performance Status From Unstructured Oncology Notes Using Language Models.

JCO clinical cancer informatics May 1, 2024
PURPOSE: Eastern Cooperative Oncology Group (ECOG) performance status (PS) is a key clinical variable for cancer treatment and research, but it is usually only recorded in unstructured form in the electronic health record. We investigated whether nat...
Electronic Health Records Medical Oncology Female Humans Middle Aged Neoplasms Aged Natural Language Processing Male
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Applications of artificial intelligence in urologic oncology.

Investigative and clinical urology May 1, 2024
PURPOSE: With the recent rising interest in artificial intelligence (AI) in medicine, many studies have explored the potential and usefulness of AI in urological diseases. This study aimed to comprehensively review recent applications of AI in urolog...
Male Deep Learning Urologic Neoplasms Urinary Bladder Neoplasms Artificial Intelligence Machine Learning Humans Kidney Neoplasms Prostatic Neoplasms Medical Oncology
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Navigating the Complexities of Artificial Intelligence-Enabled Real-World Data Collection for Oncology Pharmacovigilance.

JCO clinical cancer informatics May 1, 2024
This new editorial discusses the promise and challenges of successful integration of natural language processing methods into electronic health records for timely, robust, and fair oncology pharmacovigilance.
Adverse Drug Reaction Reporting Systems Pharmacovigilance Medical Oncology Artificial Intelligence Electronic Health Records Humans Neoplasms Natural Language Processing Data Collection
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Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions.

Cancer discovery May 1, 2024
UNLABELLED: Artificial intelligence (AI) in oncology is advancing beyond algorithm development to integration into clinical practice. This review describes the current state of the field, with a specific focus on clinical integration. AI applications...
Artificial Intelligence Neoplasms Medical Oncology Humans
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Artificial intelligence- image learning and its applications in neurooncology: a review.

JPMA. The Journal of the Pakistan Medical Association Apr 1, 2024
Image learning involves using artificial intelligence (AI) to analyse radiological images. Various machine and deeplearning- based techniques have been employed to process images and extract relevant features. These can later be used to detect tumour...
Medical Oncology Machine Learning Humans Brain Neoplasms Artificial Intelligence
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