Chanwoo Kim
@chanwoo-kim.bsky.social
Machine learning for biomedicine | Ph.D. student @uwcse.bsky.social | https://chanwoo.kim/
Our recent interview with UW News highlights why transparency in medical AI is vital for patient safety. Please check it out! 👇
Medical #AI errors “can directly impact people’s health and even determine life-altering outcomes.” In @natrevbioeng.nature.com, @chanwoo-kim.bsky.social @sohamgadgil.bsky.social & @suinlee.bsky.social discuss the importance of transparency in medical models. www.washington.edu/news/2025/09...
Q&A: Transparency in medical AI systems is vital, UW researchers say
In a recent paper, University of Washington researchers argue that a key standard for deploying medical AI is transparency — that is, using various methods to clarify how a medical AI system arrives.....
www.washington.edu
September 14, 2025 at 9:23 PM
Our recent interview with UW News highlights why transparency in medical AI is vital for patient safety. Please check it out! 👇
Reposted by Chanwoo Kim
AI models are being applied more often across a range of biomedical domains to support clinical decision-making and therapeutic strategies. A Review in Nature Reviews Bioengineering examines the transparency of medical AI systems, highlighting key approaches to increasing transparency. 🔒
Transparency of medical artificial intelligence systems - Nature Reviews Bioengineering
Artificial intelligence (AI) models are being applied more often across a range of biomedical domains to support clinical decision-making and therapeutic strategies. This Review examines the transparency of medical AI systems, highlighting key approaches to increasing transparency in model design, operation and outcomes.
go.nature.com
September 14, 2025 at 1:54 PM
AI models are being applied more often across a range of biomedical domains to support clinical decision-making and therapeutic strategies. A Review in Nature Reviews Bioengineering examines the transparency of medical AI systems, highlighting key approaches to increasing transparency. 🔒
🚀 We’re at the tipping point of the AI era, and nowhere is its potential more profound than in medicine 💉🧬. But with great promise comes great responsibility. That is, ensuring transparency and safety of medical AI is crucial to its successful adoption.
This is where our paper comes in.
This is where our paper comes in.
September 10, 2025 at 4:47 PM
🚀 We’re at the tipping point of the AI era, and nowhere is its potential more profound than in medicine 💉🧬. But with great promise comes great responsibility. That is, ensuring transparency and safety of medical AI is crucial to its successful adoption.
This is where our paper comes in.
This is where our paper comes in.
Reposted by Chanwoo Kim
I'm hiring:
1. Research associate (wet-lab w/ phd) to generate mpra perturbation data
2. ML postdoc to build multimodal generative AI for DNA (eg diffusion and LLMs)
3. Bioinformatician (any level) to process and harmonize functional genomics data to train foundation models
DM me if interested!
1. Research associate (wet-lab w/ phd) to generate mpra perturbation data
2. ML postdoc to build multimodal generative AI for DNA (eg diffusion and LLMs)
3. Bioinformatician (any level) to process and harmonize functional genomics data to train foundation models
DM me if interested!
December 23, 2024 at 8:04 PM
I'm hiring:
1. Research associate (wet-lab w/ phd) to generate mpra perturbation data
2. ML postdoc to build multimodal generative AI for DNA (eg diffusion and LLMs)
3. Bioinformatician (any level) to process and harmonize functional genomics data to train foundation models
DM me if interested!
1. Research associate (wet-lab w/ phd) to generate mpra perturbation data
2. ML postdoc to build multimodal generative AI for DNA (eg diffusion and LLMs)
3. Bioinformatician (any level) to process and harmonize functional genomics data to train foundation models
DM me if interested!