AIMC Topic: Medical Oncology

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Unlocking clinical quantum oncology through quantum control.

European journal of cancer (Oxford, England : 1990)
Quantum technologies present a transformative frontier for oncology, promising significant advancements in diagnostics, treatment precision, and drug discovery. The clinical realization of this potential is fundamentally reliant on mastering quantum ...

Turkish medical oncologists' perspectives on integrating artificial intelligence: knowledge, attitudes, and ethical considerations.

BMC medical ethics
BACKGROUND: Integrating artificial intelligence (AI), especially large language models (LLM) into oncology has potential benefits, yet medical oncologists' knowledge, attitudes, and ethical concerns remain unclear. Understanding these perspectives is...

Emerging Trends in Point-of-Care Technology Development for Oncology in Low- and Middle-Income Countries.

JCO global oncology
The growing cancer burden and suboptimal diagnostic capacity in low- and middle-income countries calls for urgent innovation in diagnostic solutions. Point-of-care technologies (POCTs) offer a transformative approach to decentralizing cancer diagnost...

Leveling Up: Harnessing Cutting-Edge Technology to Enhance Oncology Education and Learning.

American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
The integration and utilization of digital media, gamified learning strategies, and artificial intelligence (AI) are fundamentally transforming the landscape of oncology education and learning. These technologies collectively enhance knowledge dissem...

Leveraging Digital Twins for Stratification of Patients with Breast Cancer and Treatment Optimization in Geriatric Oncology: Multivariate Clustering Analysis.

JMIR cancer
BACKGROUND: Defining optimal adjuvant therapeutic strategies for older adult patients with breast cancer remains a challenge, given that this population is often overlooked and underserved in clinical research and decision-making tools.

Use of Large Language Models in Clinical Cancer Research.

JCO clinical cancer informatics
Artificial intelligence (AI) is increasingly being applied to clinical cancer research, driving precision oncology objectives by gathering clinical data at scales that were not previously possible. Although small, domain-specific models have been use...

Diagnostic accuracy of ChatGPT-4 in orthopedic oncology: a comparative study with residents.

The Knee
BACKGROUND: Artificial intelligence (AI) is increasingly being explored for its potential role in medical diagnostics. ChatGPT-4, a large language model (LLM) with image analysis capabilities, may assist in histopathological interpretation, but its a...

Artificial intelligence entering the pathology arena in oncology: current applications and future perspectives.

Annals of oncology : official journal of the European Society for Medical Oncology
BACKGROUND: Artificial intelligence (AI) is rapidly transforming the fields of pathology and oncology, offering novel opportunities for advancing diagnosis, prognosis, and treatment of cancer.

Enhancing Physician-Patient Communication in Oncology Using GPT-4 Through Simplified Radiology Reports: Multicenter Quantitative Study.

Journal of medical Internet research
BACKGROUND: Effective physician-patient communication is essential in clinical practice, especially in oncology, where radiology reports play a crucial role. These reports are often filled with technical jargon, making them challenging for patients t...

[Artificial intelligence and civil liability in cancerology: The breast cancer example].

Gynecologie, obstetrique, fertilite & senologie
For some years now, artificial intelligence has been investing in the field of healthcare, in both technical and clinical disciplines. While this technological advance represents a real opportunity for the doctors of today and tomorrow, the fact rema...