Hip Arthritis: AI Versus Radiologists
- Artificial intelligence
- 10/02/2020
A new study published in the journal Radiology describes the feasibility of using a deep learning model to accurately assess radiograp
READ MOREA new study published in the journal Radiology describes the feasibility of using a deep learning model to accurately assess radiograp
READ MOREItalian researchers have addressed the question of ethics in deployment of AI in radiology processes as the technology brings up questions about...
READ MOREOne of the most cost-effective ways to reinvent hospitals will be through information technology. Over the next decade we can give hospitals the equivalent of brains and nervous systems. The fully digitised hospital of the future will become a healing machine, sensitive to the precise needs of each patient, seamlessly supporting human caregivers...
READ MORE44th IHF World Hospital Congress’ Call for Abstracts extended until 14 February
READ MOREIn 10 years, the healthcare system will be a different beast. The power of technology and data will change the way we face the current challenges driving us towards more integrated care based on population health and value, with increased patient engagement. This all means the old healthcare provision paradigm is crumbling. Not that hospitals will...
READ MORESummary: The technological advances showcased at RSNA 2019 pointed to a positive turning point for a leading radiologist who has seen the rises and falls of the profession over five decades. When traveling to my nearly 45th Radiological Society of North America (RSNA) meeting in November 2019, I felt mixed emotions. As my career is moving towards...
READ MOREHealthManagement.org rounds up exciting developments that have all the characteristics of game-changers for healthcare. What do you think? AI Breast Cancer Diagnosis Matches Two Doctors A study suggested that AI diagnoses breast cancer from mammograms more accurately than radiologists.A computer, specially designed and trained by...
READ MOREWhich clinical specialty will be most disrupted by Artificial Intelligence? Will it be radiology or narrative-based medicine? Prof. Mathias Goyen explains. The avalanche of healthcare data (clinical, imaging, genomic, lab etc) is mind-blowing and only likely to accelerate as precision health matures. Consequently, medicine will become even...
READ MORESummary: An HIT expert gives his view on how healthcare can be revamped by harnessing technology for existing care modalities rather than overhauling the entire system. I think the next few years will be characterised by a much better exploitation of systems that are used routinely in the care system. My impression is that we have a lot of...
READ MOREThe value proposition of artificial intelligence solutions in healthcare have been well described 1 and it is apparent that ‘narrow AI’ will have a role in every stage in the clinical workflow; in Radiology this means optimisation of every step in the pathway from the appropriateness of clinical requests for imaging 2 to ensuring that recommendations...
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