
AI In Medicine: Top 3 Advances This Week Suggested by Samuel Hume
Samuel Hume, Fellow at The Foulkes Foundation and pursuing PhD in the University of Oxford’s Department of Oncology, shared a post on X:
“AI in medicine: top 3 advances this week
1. The biggest and best model for reading chest X rays yet – and fully open (it’s called Ark+).
Title: A fully open AI foundation model applied to chest radiography
Journal: Nature
Authors: DongAo Ma, Jiaxuan Pang, Michael B. Gotway, Jianming Liang
2. AI software that reports volume, thickness and mid-line shift for subdural bleeds on plain head CT.
Cleared by the FDA this week, it’s the first tool that gives neurosurgeons numbers, not just alerts, for subdural bleeds.
3. A model that screens for 25 diseases at once (like diabetic retinopathy or retinal tears) on ultra-wide-field fundus photos.
It reports whether disease is present, and whether a referral is needed – potentially allowing fast triage.”
Title: Ultra-wide-field fundus photography and AI-based screening and referral for multiple ocular fundus diseases
Journal: Cell Reports Medicine
Authors: Xinyu Zhao, Xingwang Gu, Da Teng, Xiaolei Sun, Qijie Wei, Bo Wang, Jinrui Wang, Jianchun Zhao, Dayong Ding, Bilei Zhang, Yuelin Wang, Wenfei Zhang, Shiyu Cheng, Xinyu Liu, Lihui Meng, Bing Li, Xiao Zhang, Zhengming Shi, Anyi Liang, Guofang Jiao, Huiqin Lu, Changzheng Chen, Rishet Ahmat, Hao Zhang, Yakun Li, Dan Zhu, Han Zhang, Hongbin Lv, Donglei Zhang, Mengda Li, Ziwu Zhang, Ling Yuan, Chang Su, Dawei Sun, Qiuming Li, Dawa Xiao, Youxin Chen
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