The deep learning revolution and subsequent surge in the development of artificial intelligence (AI) didn’t take long to reach the world of medicine. In this special series on “Medical Artificial Intelligent Research”, we explore the latest developments through a collection of editorials, original articles, and reviews that set the stage for the challenges and opportunities in translating AI and related technologies into clinical practice.
An artificial intelligent platform for live cell identification and the detection of cross-contamination
Deep learning LI-RADS grading system based on contrast enhanced multiphase MRI for differentiation between LR-3 and LR-4/LR-5 liver tumors
An artificial intelligence model for the simulation of visual effects in patients with visual field defects
Distinguishing risk factors between congenital anophthalmia and microphthalmia using multivariable logistic regression
Fast screening for children’s developmental language disorders via comprehensive speech ability evaluation—using a novel deep learning framework
The combination of brain-computer interfaces and artificial intelligence: applications and challenges
Application of artificial intelligence in anterior segment ophthalmic diseases: diversity and standardization
The series “Medical Artificial Intelligent Research” was commissioned by the editorial office, Annals of Translational Medicine without any sponsorship or funding. Haotian Lin and Limin Yu served as the unpaid Guest Editors for the series.