There are various applications of Artificial Intelligence (AI) in healthcare, such as helping clinicians to make decisions, monitoring patient health, and automating routine administrative tasks. ...
There are various applications of Artificial Intelligence (AI) in healthcare, such as helping clinicians to make decisions, monitoring patient health, and automating routine administrative ...
Abstract. The development and implementation of clinical decision support (CDS) that trains itself and adapts its algorithms based on new data—here referred to
In the new year, the healthcare industry will leverage artificial intelligence and social determinants of health data to improve clinical decision-making.
AbstractObjective. To conduct a systematic review identifying workplace interventions that mitigate physician burnout related to the digital environment includi
President Joe Biden has put the brakes on the previous administration’s move to create a quicker route to market for digital health products and other devices following the pandemic ...
According to new study, analysis of cardiac MRI scans using automated machine learning can be performed 186 times faster and with comparable accuracy to human interpretation by trained ...
In the blog “How Can Your Organization Manage AI Model Biases?”, I wrote: “In a world more and more driven by AI models, Data Scientists cannot effectively asc…
Successful AI adoption requires forethought and preparation. Although AI itself requires a culture open to experimentation and learning from mistakes, when it comes to ethics, risk, and ...