AIMC Topic: Medical Oncology
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Deep lessons learned: Radiology, oncology, pathology, and computer science experts unite around artificial intelligence to strive for earlier pancreatic cancer diagnosis.
Diagnostic and interventional imaging
Oct 16, 2019
Artificial intelligence in digital pathology - new tools for diagnosis and precision oncology.
Nature reviews. Clinical oncology
Aug 9, 2019
In the past decade, advances in precision oncology have resulted in an increased demand for predictive assays that enable the selection and stratification of patients for treatment. The enormous divergence of signalling and transcriptional networks m...
Machine learning for tissue diagnostics in oncology: brave new world.
British journal of cancer
Aug 9, 2019
Machine learning is an exciting technology with broad application in big data analysis, as well as increasingly in specialised healthcare. As a diagnostic tool in tissue workup and pathology, it has the potential for personalised and stratified appro...
Should we be afraid of medical AI?
Journal of medical ethics
Jun 21, 2019
I analyse an argument according to which medical artificial intelligence (AI) represents a threat to patient autonomy-recently put forward by Rosalind McDougall in the The argument takes the case of IBM Watson for Oncology to argue that such technol...
No we shouldn't be afraid of medical AI; it involves risks and opportunities.
Journal of medical ethics
Jun 21, 2019
In contrast to Di Nucci's characterisation, my argument is not a technoapocalyptic one. The view I put forward is that systems like IBM's Watson for Oncology create both risks and opportunities from the perspective of shared decision-making. In this ...
Artificial intelligence in dermato-oncology: a joint clinical and data science perspective.
International journal of dermatology
May 31, 2019
Drug repurposing in oncology: Compounds, pathways, phenotypes and computational approaches for colorectal cancer.
Biochimica et biophysica acta. Reviews on cancer
Apr 26, 2019
The strategy of using existing drugs originally developed for one disease to treat other indications has found success across medical fields. Such drug repurposing promises faster access of drugs to patients while reducing costs in the long and diffi...
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