AI Screening for Childhood Blindness Begins in Mongolia
Orbis International and Siloam Vision have begun using artificial intelligence to screen premature infants in Mongolia for retinopathy of prematurity, the leading cause of childhood blindness worldwide, announced in a press release. The screening took place at the National Center for Maternal and Child Health in Ulaanbaatar.
The program combines Orbis’s long term eye care initiatives with Siloam Vision’s proprietary AI technology and telemedicine platform, iTelegen. The AI system assists ophthalmologists by reviewing retinal images captured with specialized cameras that attach to mobile phones, allowing for rapid assessments and immediate feedback to parents.
This marks the first time AI has been used to support retinopathy of prematurity screening in low and middle income countries. Since the program’s launch, over 270 exams have been conducted on more than 170 newborns. The initiative also includes training for doctors from remote provinces to expand screening access throughout Mongolia.
Following its introduction in Mongolia, Orbis and Siloam Vision plan to extend the program to Bangladesh, where the first AI supported screenings are scheduled in Dhaka later this month.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief, Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Nov 13 Nvidia invested in a record 121 startup funding rounds in 2026, Crunchbase data shows Nov 13 KeyBanc survey: AI-native software grows faster but loses more money Nov 13 PangeAI signs Sky Blue Impact to speed up data centre site analysis Nov 13 Druva launches backup and recovery for Copilot Studio AI agents Nov 13 Redesign Health launches growth equity practice for clinical AIMore from Life Sciences
Nov 13 Machine-learning models predict death risk after heart attack better than standard score Nov 13 Redesign Health launches growth equity practice for clinical AI Nov 13 Dyania Health and Nvidia bring clinical reasoning AI inside hospital networks Nov 13 Betterness extends seed round to $3.5M for Miami AI health networks Nov 13 93% of health systems now use AI, CHIME survey findsEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Taiwan hospital accelerator T+ MedIC names AI ECG and CT screening tools as first winners
Helfie AI and Health Innovation South West to Test Smartphone Hypertension Screening
BioMap Announces 11 AI Life Science Collaborations
NTL HEALTHCARE Presents CerviCARE AI in South Africa
AstraZeneca and Oracle Partner on AI for Clinical Trials
Daily AI Brief: the AI news that matters, in your inbox.