Passive Monitoring Using AI
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 a device at all times. Used in a hospital setting, the tech reduces healthcare workers’ […]
AI for Rapid Diagnostics II
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 open up new possibilities for us to use smartphones as diagnostic tools. One company […]
AI for Rapid Diagnostics I
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 an era of convenience and, I believe, better care. Why better care? Because people spend […]
Bots in Mental Health Management
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 pandemic. This lack of providers is being combined with the high cost of therapy and […]
Bots in Healthcare
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 tap into AI and bots to make it happen. Intelligent bots can help to answer […]
AI in Mental Health II
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 for medical researchers. This is due to its physical complexity and the billions of connections […]
AI in Mental Health I
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 integrated into the practice of medicine. Fortunately, a lot of that is now changing. There’s […]
AI in COVID-19
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 as March 2020, researchers were using an AI algorithm that had been trained by data […]
AI in Colon Cancer Detection
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 of researchers from Harvard Medical School and Beth Israel Deaconess Medical Center have been working […]
AI for Prognosis in Oncology
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 was better at making predictions when compared to the predictions made based on the regular […]