Deep Learning - Pushing the boundaries of health AI. How do we make it fair and the data safe?
Over the last 5 years there has actually been a confluence of a few different historical threats. We’ve had health data being increasingly digitalised and we’ve had the proliferation of accessible massive scale computing, both of which have un-locked a technique developed in the early 80’s called deep learning, which is really good at pattern recognition over large data sets.
Key trends in the last year include the first randomised clinical trials in the clinical application of AI in health, the potential for AI in clinical discovery particularly using multimodal data (including electronic medical records, imaging data, genomic data) and combining that to find patterns in very large data sets. This is the real beginning of precision medicine. Finally there are day to day clinical process applications being used to predict resource allocation or disease outbreaks.
At the same time there are some systemic challenges facing AI in health, including workflow integration, bias, equity and just access. How can we mitigate these biases and make them fair.
Finally how do we make this sensitive data safe? Is the answer Federated machine learning where we send the AI algorithms out to local networks and apply them there?
Видео Deep Learning - Pushing the boundaries of health AI. How do we make it fair and the data safe? канала Coda Change
Key trends in the last year include the first randomised clinical trials in the clinical application of AI in health, the potential for AI in clinical discovery particularly using multimodal data (including electronic medical records, imaging data, genomic data) and combining that to find patterns in very large data sets. This is the real beginning of precision medicine. Finally there are day to day clinical process applications being used to predict resource allocation or disease outbreaks.
At the same time there are some systemic challenges facing AI in health, including workflow integration, bias, equity and just access. How can we mitigate these biases and make them fair.
Finally how do we make this sensitive data safe? Is the answer Federated machine learning where we send the AI algorithms out to local networks and apply them there?
Видео Deep Learning - Pushing the boundaries of health AI. How do we make it fair and the data safe? канала Coda Change
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
![Preparing for the unknown](https://i.ytimg.com/vi/eMVRmEpTRiw/default.jpg)
![Being More Than A Bystander](https://i.ytimg.com/vi/F72N_YLzWNU/default.jpg)
![Abdominal trauma, Measles, Aspirin, and Why the Time for Ultrasound is Now](https://i.ytimg.com/vi/2621P1V0a_U/default.jpg)
![SonoSLAM: Tomorrow Today: Advances in US Tech!](https://i.ytimg.com/vi/IEf7fxD0oIg/default.jpg)
![Dealing with Chronic Stress in Critical Care](https://i.ytimg.com/vi/9D9fZwT3iw8/default.jpg)
![I am the Captain of my Soul: High Impact Cases Panel Discussion](https://i.ytimg.com/vi/BJ-1zVQoW98/default.jpg)
![Re-evaluating your super can impact the climate emergency](https://i.ytimg.com/vi/VKLVB5eD9VQ/default.jpg)
![Paediatric Trauma Resuscitation - Reflections and Resilience](https://i.ytimg.com/vi/bHDUdnF-h6Y/default.jpg)
![Prehospital Diagnosis and Treatment of Sepsis](https://i.ytimg.com/vi/cdMH82iYIwo/default.jpg)
![Trauma in the ICU: Road to Resus Chapter 3](https://i.ytimg.com/vi/4upTn2q0n0I/default.jpg)
![COVID19 through the looking glass: Intrapartum Maternity Care](https://i.ytimg.com/vi/ZAzSAII3wrg/default.jpg)
![Engaging with government delivers better health outcomes](https://i.ytimg.com/vi/vnCX-6WNRpE/default.jpg)
![SMACC Social](https://i.ytimg.com/vi/dGHUeiY9hAw/default.jpg)
![Unravelling Grief and Loss](https://i.ytimg.com/vi/gOeRNbtoyAM/default.jpg)
![The future of prehospital trauma resuscitation: Brian Burns](https://i.ytimg.com/vi/kYsmh-kvtLw/default.jpg)
![SMACC Highlights](https://i.ytimg.com/vi/Axt6dN1Pz2I/default.jpg)
![3 R’s of Sexual Assault in Critical Care](https://i.ytimg.com/vi/vkLTPqUCygw/default.jpg)
![Learning and culture in healthcare](https://i.ytimg.com/vi/pLTtQg_Mzc0/default.jpg)
![Wellbeing for healthcare providers: 3R'S - Reflect](https://i.ytimg.com/vi/kmphUnBQqac/default.jpg)
![The healthcare ethics of alcohol related harm and driving change](https://i.ytimg.com/vi/UbSN2CWKNEg/default.jpg)