To reduce preventable medical errors, an AI assistance to surgeons is more realistic than a wide spread of robotic surgery. In this article (and the associated paper) authors share some tips to make this assistance real today. The paper’s authors propose AI as an effective augmentation tool to enhance in situ surgical decision making. We’re already seeing the first examples of this come to market. For example, a company called Activ Surgical, a digital surgery company…"Should AI assist in surgical decision-making?"
In this webinar, Dr. Amar Patel (Chief Learning Officer at CAE Healthcareyou) presents current uses of new technologies in healthcare, and especially of medical simulation training programs Artificial intelligence (AI), mixed reality (MR), and augmented mixed reality (AMR), have become a hot topic across multiple industries worldwide. Yet, educational programs are still grappling with how to integrate and utilize it, and educators are faced with creating and distributing content in a unique and relational format. Source:…"Recorded Webinar: Using AI and Augmented Mixed Reality to Enhance Training Experiences"
In this short article from Dhannu Daniel, managing director at Accenture, you will discover that “93% of health executives have AI projects on their agenda” in Australia! The author explains four big areas where these technologies could be useful, mainly by augmenting people possibilities. A healthcare executive survey showed that an impressive 72% of Australian healthcare leaders are either piloting or planning AI adoption.1 Furthermore, 93% of health executives have AI projects on their agenda,…"Enabling health care with artificial intelligence in Australia"
In this article of the New York Times, you can find a presentation of a study on lung cancer CT scans and how AI could help to detect specific nodules. With 6716 cases for the training set, the model shows more than 90% of success with “reductions of 11% in false positives and 5% in false negatives”. You note that Google team are deeply involved in this study. “The whole experimentation process is like a…"A.I. Took a Test to Detect Lung Cancer. It Got an A"
It is always a good idea to ask the patient what he or she thinks about “new” technologies used in healthcare. In this case, a survey has been done about the use of AI and patients are not so happy with this 🙂 Today, thanks to digital information, patients are not so uninformed about their diseases and they want to be “active” in their treatments. But they also need a human to talk with! It…"AI in healthcare? Ask the patient"