Industry Insights: AI. The role of AI in MedComms - a bi-weekly update

Industry Insights: AI 3rd October

Industry Insights: AI 3rd October

  • Reading time:2 mins read

Industry Insights AI: 03/10/24

This week’s insights focus on recent developments regarding the use of artificial intelligence (AI) in improving patient care.

The Australian government plans to launch virtual nursing for aged care

The Australian Department of Health and Aged Care has announced the launch of a telehealth service providing virtual nursing to residents in 30 aged care homes. The chosen supplier or suppliers will deliver person-centred care via video conferences, train staff on the virtual nursing platform and ensure each home has the necessary technology. This initiative is part of a larger action plan to improve aged care through new technologies and aligns with the Aged Care Data and Digital Strategy.

Read more: Aged Care Data and Digital Strategy actions and initiatives

 

Scientists develop new AI tool for cancer detection

Scientists at Harvard Medical School have developed the Clinical Histopathology Imaging Evaluation Foundation (CHIEF) model, a ChatGPT-like AI model capable of performing various diagnostic functions of 19 different cancer types. Unlike current AI systems, CHIEF can predict patient outcomes, identify tumour characteristics linked to treatment response and analyse digital slides of tumour tissues. CHIEF is trained on millions of clinical images and validated on diverse patient datasets. As such, it promises to mark a step forward in the use of AI tools to improve cancer diagnosis and therapy.

Further reading: Study published in Nature

 

AI can recognise brain patterns related to specific behaviours

Scientists at the University of Southern California have developed a new AI algorithm called DPAD (Dissociative Prioritised Analysis of Dynamics) that can isolate brain patterns related to specific behaviours from complex brain activity. This algorithm is particularly useful for improving brain–computer interfaces. This function promises to help paralysed patients regain movement by decoding intended movements from brain signals and translating them to control external devices, such as computer cursors. Beyond movement, DPAD has the potential to decode mental states like pain or mood, which could lead to more personalised treatments for mental health conditions.

Further reading: Study published in Nature

 

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