AI in Healthcare Blogs

AI-powered passive monitoring is taking off and has huge advantages over the traditional way of monitoring patients. The advantage of passive monitoring, as opposed to data collected from wearables, is that it doesn’t require patients or seniors to actively wear … Read More

In recent years, smartphone penetration in the United States has continued to grow. At the same time, deep learning has helped to significantly lower the error rate of image recognition tools. The two of these in combination have helped to … Read More

Healthcare will be very different in the future, thanks to technologies like sensors, wearables, cell phones, computers and AI. The combination of these technologies will allow the remote provision of care for many situations and conditions. This will usher in … Read More

Mental health management is a prime area for the use of AI bots to augment clinicians and provide more support to patients. This is an area where there aren’t enough providers to address the mental health crisis, especially with the … Read More

The intelligent automation of healthcare won’t be easy, but once we achieve it, it will be extremely rewarding. In fact, given how much there is to do in healthcare and the limited supply of people, it’s essential for us to … Read More

In the last post we discussed how AI can help with breakthrough approaches to managing mental health as this has been a difficult field within healthcare to show rapid progress. Brain is one of the most challenging organs to de-code … Read More

Mental health has always been present in society. However, it’s only in recent decades that it’s started being properly diagnosed and managed. The taboo around mental health issues has kept people from reporting it and it’s traditionally not been fully … Read More

AI algorithms have played a key role in diagnosis and treatment planning for COVID-19.  Some of the many ways that AI has played a role in this pandemic include helping in diagnosis and predicting the risk of deterioration. As early … Read More

The detection of small polyps in real-time to assist GI doctors while performing colonoscopies can improve the diagnosis of these often pre-cancerous lesions. A prospective study showed that AI can be accurate in helping to find small polyps. A team … Read More

Prognosis establishes the seriousness and the stage of the tumor, which reflects the survival rate of the patient. An AI model was developed using deep learning to predict the survival rate of patients who’d undergone a gastrectomy. The deep tool … Read More