Source – https://www.analyticsinsight.net/ Pharmaceutical professionals believe artificial intelligence (AI)will be the most disruptive technology in the industry in 2021. As AI and machine learning (ML) become crucial tools for keeping pace in the industry, clinical development is an area that can substantially benefit, delivering significant time and cost efficiencies while providing better, faster insights to inform decision Read More
Tag: clinical
Source – https://physicsworld.com/ Last year, the scientific community built thousands of machine learning models and other artificial intelligence systems to identify COVID-19 on chest X-ray and CT images. Some researchers were sceptical of the results: were the models identifying COVID-19 pathology or were they instead making decisions based on confounders such as arrows and other medically irrelevant Read More
Source – https://www.aiin.healthcare/ Clinical nutritionists won’t be left out of the medical AI revolution, as researchers are exploring use cases for augmented diet optimization, food image recognition, risk prediction and diet pattern analysis. The state of the science is described in a paper published this month in Current Surgery Reports. Applications for AI and other digital Read More
Source: techspot.com What just happened? Of all the domains where machine learning is expected to be revolutionary, medicine is perhaps the most universal. In a major new milestone, a drug developed using machine learning is about to enter human trials. Before a new medicine enters human trials, there is typically three to five years of work Read More
Source: In recent years, cutting-edge computational technologies are increasingly being applied in clinical settings in order to provide higher quality of healthcare. Furthermore, huge amount of biomedical data is continuously acquired and stored from ever accurate medical devices. Conversely, in the scientific research community, there is a growing necessity to develop more optimized methodologies that Read More
Source: healthdatamanagement.com While artificial intelligence has the potential to address the epidemic of diagnostic errors in healthcare, the industry must overcome the challenges and limitations of these new digital tools. That’s the contention of a new book on clinical decision support co-authored by John Halamka, MD, president of the Mayo Clinic Platform, and healthcare writer Read More