Chanwoo Kim
@chanwoo-kim.bsky.social
Machine learning for biomedicine | Ph.D. student @uwcse.bsky.social | https://chanwoo.kim/
Here's a SharedIt link (no license required): rdcu.be/eFnIc
September 10, 2025 at 6:44 PM
Here's a SharedIt link (no license required): rdcu.be/eFnIc
Grateful to the amazing team @sohamgadgil.bsky.social @suinlee.bsky.social @uwcse.bsky.social who made this possible!
Many thanks to the editorial team Christine Horejs for positive and constructive feedback!
Many thanks to the editorial team Christine Horejs for positive and constructive feedback!
September 10, 2025 at 4:56 PM
Grateful to the amazing team @sohamgadgil.bsky.social @suinlee.bsky.social @uwcse.bsky.social who made this possible!
Many thanks to the editorial team Christine Horejs for positive and constructive feedback!
Many thanks to the editorial team Christine Horejs for positive and constructive feedback!
We hope this becomes a valuable resource for many in the field, including researchers, clinicians, developers, and policymakers, dedicated to building responsible and trustworthy AI in healthcare.
📖 Read our full paper here: doi.org/10.1038/s442...
📖 Read our full paper here: doi.org/10.1038/s442...
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 transpare...
doi.org
September 10, 2025 at 4:53 PM
We hope this becomes a valuable resource for many in the field, including researchers, clinicians, developers, and policymakers, dedicated to building responsible and trustworthy AI in healthcare.
📖 Read our full paper here: doi.org/10.1038/s442...
📖 Read our full paper here: doi.org/10.1038/s442...
🔍 In this work, we cover:
🔹 Methods to enhance transparency across the entire AI lifecycle—from data collection 📊 to model development ⚙️ to clinical deployment 🏥.
🔹 Regulations on transparency that will influence its trajectory ⚖️
🔹 Insights into the evolving landscape of medical AI transparency 📈
🔹 Methods to enhance transparency across the entire AI lifecycle—from data collection 📊 to model development ⚙️ to clinical deployment 🏥.
🔹 Regulations on transparency that will influence its trajectory ⚖️
🔹 Insights into the evolving landscape of medical AI transparency 📈
September 10, 2025 at 4:53 PM
🔍 In this work, we cover:
🔹 Methods to enhance transparency across the entire AI lifecycle—from data collection 📊 to model development ⚙️ to clinical deployment 🏥.
🔹 Regulations on transparency that will influence its trajectory ⚖️
🔹 Insights into the evolving landscape of medical AI transparency 📈
🔹 Methods to enhance transparency across the entire AI lifecycle—from data collection 📊 to model development ⚙️ to clinical deployment 🏥.
🔹 Regulations on transparency that will influence its trajectory ⚖️
🔹 Insights into the evolving landscape of medical AI transparency 📈
📣 Excited to announce that our review article “Transparency of Medical Artificial Intelligence Systems,” has just been published in Nature Reviews Bioengineering!
September 10, 2025 at 4:53 PM
📣 Excited to announce that our review article “Transparency of Medical Artificial Intelligence Systems,” has just been published in Nature Reviews Bioengineering!