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Aslı Müsellimoğlu
Created on December 11, 2022
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Transcript
AI helps in identifying species and receptors on cells that might begin a pandemic/epidimic
AI aides in the prediction of pandemics/epidimics
AI helps in clinical trials by embedding analytics faster, calssifying genes, molecular functions,
Drug Creation
Using big data and bioinformatics allows to study patient data more specifically and offer a more human-centric treatment approach
Personalized Medicine
The application of tools involving Machine Learning, deep learning, virtual reality, and other technology elements to aid in medical settings
What is AI in healthcare?
SDG 3 Good Health and Wellbeing
AI in Healthcare
CAGR 40.51%
Physician's time spent on treating patients
Physician's time spent on tadministrative tasks
50%
67%
33%
50%
Current
With AI
+ Applications
64%
of medical professionals stated that they need better predictability and insights into their operations
AI can be a nightmare in the long-run
Sampling biases occur in data, causing the development of biased AI models and data sets causing what so called a digital marginalisation and exclusion
Mis-diagnosis, for example, sometimes AI detects a false fracture, and sometimes it detects that there is not a fracture while there is
AI and algorithms are run by data, and this patient data is hard to acquire and innterpret, leaving AI very limited development opportunities
Sensy.AI Sensy.AI is the best example of an application of AI in healthcare. This tool is a virtual nurse assistant that visits the patient once or more each day. This tool provides the patient with the overall checks regarding their blood and weight, gives the patient feedback, and provides this data to an overall system that the doctors and nurses can check. This is an example of how AI is implemented in medical settings
AI, using data sets and historic data aids in the prediction of the pandemic. The best example is COVID-19, AI systems were able to detect the protein structure of the virus, and warned professionals about it in China. AI tools and systems were experiencing a "race" once it came to the development of the COVID-19 vaccine and also the detection of new viruses to avoid the costs of them spreading. According to an article published, an AI server called BlueDot, has alerted the systems about COVID-19 spreading in China, and have also detected previously 150 variants of viruses. Moreover the AI tools are also able to develop the vaccine, by fully analyzing and studying the spikes of the virus and the protein structures which aids in the vaccine development process.
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AI helps in drug design, helps in polypharmacology, chemical synthesis, drug repurposing, and drug screening. A business example of such an application is BioSymetrics which allows researchers to do rapid analytics, enhance drug discoveries, and enable data-driven decisions.
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AI allows for higher personalization given that it can customize the experience of each patient according to his own needs. Unlike a human doctor who might not provide the highest level of personalization due to an overwhelming number of cases, AI tools would be able to provide efficient and systematic personalized patient experience.
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