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Preventing Blindness in Babies With AI!

  Рет қаралды 29

Demystifying Research McMaster

Demystifying Research McMaster

Күн бұрын

What if we told you that AI is currently being used to diagnose and prevent blindness in babies? This week’s video unravels just exactly how AI is being used in medicine to make such breakthroughs, and an interview with a special guest - Sajid Rahim, a McMaster PhD candidate, gives us his knowledge on how his research in AI is paving the way to make discoveries that preserve the vision of young patients.
Need the specifics? Explore:
0:00 - 0:28 Introduction
0:29 - 1:46 What is AI?
1:46 - 1:58 What is the future of AI?
1:59 - 2:35 Blindness in babies: ROP
2:36 - 3:09 AI’s use to diagnose ROP
3:10 - 6:02 Interview with Sajid Rahim
6:03 - 7:48 Risks & limitations of AI
7:49 - 8:14 Main takeaways
This video was made by Aqsa Rahim, Sara Sadat, Charissa Cheng, and Masihullah Furmuli in collaboration with the Demystifying Research McMaster Program.
We would like to say a special thank you to McMaster PhD candidate Sajid Rahim for taking the time to provide his knowledge and expertise on the use of AI in diagnosing ROP within his thesis work for our video.
This video is provided for general and educational information only.
Copyright McMaster University 2023
#AI #Artificialintelligence #Deeplearning #Compsci #Blindness
References:
Deloitte. (n.d.). The future of artificial intelligence in health care. www2.deloitte....
Grieve, P. (2022, March 8). Deep learning vs. machine learning: What’s the difference? Zendesk. www.zendesk.co...
Kumar, Y., Koul, A., Singla, R., & Ijaz, M. F. (2022). Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda. Journal of ambient intelligence and humanized computing, 1-28. Advance online publication. doi.org/10.100...
Rahim, S., Sabri, K., Ells, A. L., Wassyng, A., Lawford, M., Chu, L., & He, W. (2023). Novel FundUS image preprocessing for RetCam images to improve deep learning classification of retinopathy of prematurity. arXiv (Cornell University). doi.org/10.485...
Scruggs, B. A., Chan, R. V. P., Kalpathy-Cramer, J., Chiang, M. F., & Campbell, J. P. (2020). Artificial Intelligence in Retinopathy of Prematurity Diagnosis. Translational vision science & technology, 9(2), 5. doi.org/10.116...
Shah, S., Slaney, E., Verhage, E. a. E., Chen, J., Dias, R., Abdelmalik, B., Weaver, A., & Neu, J. (2023). Application of Artificial intelligence in the early detection of retinopathy of Prematurity: Review of the literature. Neonatology, 120(5), 558-565. doi.org/10.115...

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