AIMC Topic: Medical Oncology
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Large Language Models in Oncology: Revolution or Cause for Concern?
Current oncology (Toronto, Ont.)
Mar 29, 2024
The technological capability of artificial intelligence (AI) continues to advance with great strength. Recently, the release of large language models has taken the world by storm with concurrent excitement and concern. As a consequence of their impre...
Just how transformative will AI/ML be for immuno-oncology?
Journal for immunotherapy of cancer
Mar 25, 2024
Immuno-oncology involves the study of approaches which harness the patient's immune system to fight malignancies. Immuno-oncology, as with every other biomedical and clinical research field as well as clinical operations, is in the midst of technolog...
A review of mechanistic learning in mathematical oncology.
Frontiers in immunology
Mar 12, 2024
Mechanistic learning refers to the synergistic combination of mechanistic mathematical modeling and data-driven machine or deep learning. This emerging field finds increasing applications in (mathematical) oncology. This review aims to capture the cu...
Systematic reviews of machine learning in healthcare: a literature review.
Expert review of pharmacoeconomics & outcomes research
Jan 18, 2024
INTRODUCTION: The increasing availability of data and computing power has made machine learning (ML) a viable approach to faster, more efficient healthcare delivery.
Historical perspective and future directions: computational science in immuno-oncology.
Journal for immunotherapy of cancer
Jan 8, 2024
Immuno-oncology holds promise for transforming patient care having achieved durable clinical response rates across a variety of advanced and metastatic cancers. Despite these achievements, only a minority of patients respond to immunotherapy, undersc...
Imaging in interventional oncology, the better you see, the better you treat.
Journal of medical imaging and radiation oncology
Dec 8, 2023
Imaging and image processing is the fundamental pillar of interventional oncology in which diagnostic, procedure planning, treatment and follow-up are sustained. Knowing all the possibilities that the different image modalities can offer is capital t...
Medical imaging and multimodal artificial intelligence models for streamlining and enhancing cancer care: opportunities and challenges.
Expert review of anticancer therapy
Dec 8, 2023
INTRODUCTION: Artificial intelligence (AI) has the potential to transform oncologic care. There have been significant developments in AI applications in medical imaging and increasing interest in multimodal models. These are likely to enable improved...
Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment.
Journal of hematology & oncology
Nov 27, 2023
Research into the potential benefits of artificial intelligence for comprehending the intricate biology of cancer has grown as a result of the widespread use of deep learning and machine learning in the healthcare sector and the availability of highl...
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