KI Research Institute

KI is an Israeli research institute for applied research in computational health. We are an independent, self-funded, non-profit organization.

[KI Research Institute @ResearchKi]

Unveiling KI Research Institute's new brand identity and website that reflects our mission to transform complex #medical datasets into valuable global #healthcare insights. See how we’re creating ripples of impact across healthcare systems. https://t.co/xCjZelJlMr

[KI Research Institute @ResearchKi]

How well can we identify medical terms in hospital discharge notes, and link them to standard medical codes? Armed with our healthy skepticism about the ultimate supremacy of LLMs, we set off to find out in DrivenData's SNOMED-CT Entity Linking Challenge🏆
https://t.co/6BsPkLyDVm

[KI Research Institute @ResearchKi]

A video abstract for our new paper, just published in @aap_peds, suggesting a paradigm change in early childhood developmental surveillance: from unified to sex-specific developmental scales. In collaboration with @IsraelMOH https://t.co/hb9o2ALrEn

[Tamar Zelovich @TZelovich]

I'm excited to share my recent study with Chen Yanover and Vered Klaitman with perfect timing for Endometriosis Awareness Month.
In this work, we explore endometriosis and comorbidities, providing additional evidence that endometriosis is a multi-system disease.

[Chen Yanover @ChenYanover]

Just published: an @OHDSI network study that investigates the effect of feature selection on models’ external performance, across 4 countries: 🇺🇸US, 🇬🇧UK, 🇫🇮Finland, 🇰🇷Korea

Led by @naderalvojoud, @tmboussard; w/ @TalElHay, @JGT_bio_eng, Byungjin Choi, Thomas Falconer, et al.

[Chen Yanover @ChenYanover]

An exciting project in the making:

Say you trained a classifier on your data, obtaining good performance. Next, you want to deploy it to a different environment but all you know – or can obtain – are limited statistical characteristics of the external data.

[KI Research Institute @ResearchKi]

A new and exciting new publication in @JAMANetworkOpen , describing a tool for autism screening that we hope to integrate soon in the Israeli health system. Joint work with @IsraelMOH,@R2d2Mh https://t.co/YY6zt7zpiq

[Chen Yanover @ChenYanover]

📢It's out! The first @OHDSI #multinational #network study we were a part of has been published in @JAMANetworkOpen

https://t.co/N2CkJRssFc

It applies #CausalInference methodology to multiple data sources and shows that ...

[Chen Yanover @ChenYanover]

Kudos!

The (preliminary) fruit of Dr Yonathan Schwarcz's basic research project @ResearchKi, associating non-osteoporotic fractures with future risk of osteoporotic fractures (recently presented at @OHDSI Europe Symposium in Rotterdam)

[KI Research Institute @ResearchKi]

Facilitating an improved early childhood developmental surveillance by introducing a new method for quantifying developmental milestone attainment, the Developmental Surveillance Score (DSS). https://t.co/B3g01P9ML1

[Chen Yanover @ChenYanover]

An update on our inflammatory bowel disease (#IBD) characterization study, with data on >1 million patients in sixteen #databases from seven countries (USA 🇺🇸 , UK 🇬🇧 , France 🇫🇷 , Germany 🇩🇪 , Japan 🇯🇵 , Korea 🇰🇷 , and Australia 🇦🇺 ).

[KI Research Institute @ResearchKi]

Assessing the Attainment Rates of Updated CDC Milestones Using a New Israeli Developmental Scale - our new paper was just published in Pediatrics! https://t.co/cJHcP8d7hJ
Collaboration of @ResearchKi and @IsraelMOH

[Ayya Keshet @AyyaKeshet]

Excited to finally see our work published! With @H_rossman, @smadarshilo, @segal_eran & Shiri Barbash-Hazan we attempt to estimate the causal effect of cesarean delivery on pediatric health using more than 20 years of Electronic Health Records data.

https://t.co/a9kLFPH4LF

1/10

[Chen Yanover @ChenYanover]

We have launched a multinational #OHDSI study to characterize inflammatory bowel disease (#IBD) cohorts, in order to obtain a unified, global description of disease trajectory in Crohn's disease and ulcerative colitis patients 👇

[Nir Kalkstein @KalksteinNir]

https://t.co/1C4K4VrP3p

הדאטה בייסים הגדולים של תופעות לוואי של תרופות. נוצרים לרוב באופן אוטומטי. הבעיה: המידע לכל תרופה מכיל כמות גדולה של תופעות לוואי ואין זיקוק של תופעות הלוואי החשובות והעיקריות.

בעבודה יפה מחדשה ויצירתית של @ChenYanover ויונתן בילו. מ @ResearchKi >>

[Chen Yanover @ChenYanover]

#Wikipedia, natural language processing (#NLP) and adverse drug effects meet at our #ICPE2022 #Copenhagen poster. Interested? Come see us at poster #133. @Yonatan_Bilu, @ResearchKi

[KI Research Institute @ResearchKi]

As we strive to create impact and advance our findings and the tools we build towards implementation, this is a major developmental milestone achieved by our young institute. The scale is available in 3 languages at: https://t.co/DoJvEPLVuR

[KI Research Institute @ResearchKi]

Based on 3.5 million evaluations of Israeli children and Just a few months after its publication (https://t.co/PxtjQxGxeA), it is now widely spread and used by a variety of child development professionals.

[KI Research Institute @ResearchKi]

מחר בלילה נציג ב @CHILconference (https://t.co/sS0Gx47cVt) עבודה מתודולוגית שמאפשרת להעריך ביצועים של מודלי חיזוי על מקורות מידע חיצוניים מתוך מידע סטטיסטי מוגבל (למשל, שכיחות או התפלגות של תכונות באוכלוסיה), ללא גישה לנתונים עצמם. הצטרפו אלינו או הציצו במאמר 👇

[Chen Yanover @ChenYanover]

To hear more, join us (virtually) tomorrow, 2:24 PM EDT, at the Conference on Health, Inference, and Learning (@CHILconference); or see our paper https://t.co/Sv35ZJaOto