AIMC Topic: Medical Oncology

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Using Artificial Intelligence (Watson for Oncology) for Treatment Recommendations Amongst Chinese Patients with Lung Cancer: Feasibility Study.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) is developing quickly in the medical field and can benefit both medical staff and patients. The clinical decision support system Watson for Oncology (WFO) is an outstanding representative AI in the medical fie...

Organization of the cancer network in SUS: evolution of the care model.

Clinics (Sao Paulo, Brazil)
In the current context of epidemiological transition, demographic changes, changes in consumption and lifestyle habits, and pressure on care costs and organized health systems for acute conditions, the Integrated Care Model by Shortell has become a c...

Data Analysis Strategies in Medical Imaging.

Clinical cancer research : an official journal of the American Association for Cancer Research
Radiographic imaging continues to be one of the most effective and clinically useful tools within oncology. Sophistication of artificial intelligence has allowed for detailed quantification of radiographic characteristics of tissues using predefined ...

Network science in clinical trials: A patient-centered approach.

Seminars in cancer biology
There has been a paradigm shift in translational oncology with the advent of novel molecular diagnostic tools in the clinic. However, several challenges are associated with the integration of these sophisticated tools into clinical oncology and daily...

HemOnc.org: A Collaborative Online Knowledge Platform for Oncology Professionals.

Journal of oncology practice
PURPOSE: Cancer care involves extensive knowledge about numerous chemotherapy drugs and chemotherapy regimens. This information is constantly evolving, and there has been no freely available, comprehensive, centralized repository of chemotherapy info...

Knowledge bases, clinical decision support systems, and rapid learning in oncology.

Journal of oncology practice
One of the most important benefits of health information technology is to assist the cognitive process of the human mind in the face of vast amounts of health data, limited time for decision making, and the complexity of the patient with cancer. Clin...

A natural language processing pipeline for pairing measurements uniquely across free-text CT reports.

Journal of biomedical informatics
OBJECTIVE: To standardize and objectivize treatment response assessment in oncology, guidelines have been proposed that are driven by radiological measurements, which are typically communicated in free-text reports defying automated processing. We st...

Mathematical Oncology: How Modeling Is Transforming Clinical Decision-Making.

Cancer research
Mathematical models have played a significant role in the development of current chemo- and radiotherapy treatment protocols. The widespread use of cytotoxic drugs has shaped the paradigm of uniformly administering a "maximum tolerated dose" to patie...

Precision Oncology: 2025 in Review.

Cancer discovery
This article discusses the specific advances made in precision oncology in 2025, in which we saw the approval of multiple new indications for known precision oncology agents and early promising data for novel agents that target either classical pathw...

Exploring the potential of AI-powered applications for clinical decision-making in gynecologic oncology.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
OBJECTIVE: The rise of artificial intelligence (AI) and large language models like Llama, Gemini, or Generative Pretraining Transformer (GPT) signals a promising new era in natural language processing and has significant potential for application in ...