JMIR AI celebrates its first-ever Journal Impact Factor: 2.0! 🎉
A strong debut for our journal at the intersection of health and artificial intelligence.
📅 More here: https://t.co/AQzI5ZalZq
#HealthAI#DigitalHealth#JCR2025
We’re excited to share that JMIR AI earned its first #CiteScore—2.5—placing it in Q2 (68%) in Reviews and References (medical). A strong start for this journal advancing applied medical AI.
Learn More: https://t.co/jy6qJwr69g
#DigitalHealth#OpenAccess#JMIR
Missed our webinar on publishing #MachineLearning Modeling studies? Co-Editor-in-Chief of JMIR AI, @kelemam shared key insights on #ReportingGuidelines, avoiding data leakage, & justifying model choices. 🎥Watch now: https://t.co/1sBZl1Gv3j #AI@uOttawa
JMIR AI is now included in Web of Science™ and may receive its first Journal Impact Factor (JIF) as early as 2025!
Thank you to our editors, authors & reviewers for this milestone.
🔗https://t.co/Mx7pQdB3jf
#AI#DigitalHealth#WebOfScience@bradmalin@kelemam
Developing #MachineLearning models for health data requires meticulous attention to detail at each stage. Join Dr. Khaled El Emam for a deep dive into best practices and avoiding pitfalls. Register now for our FREE #Webinar on Dec 4 at 1 PM ET: https://t.co/SQbE8l0IGc @kelemam
Optimizing Clinical Trial Eligibility Design Using Natural Language Processing Models and Real-World Data: Algorithm Development and Validation https://t.co/M0H014wlxo
Regulatory Frameworks for AI-Enabled Medical Device Software in China: Comparative Analysis and Review of Implications for Global Manufacturer https://t.co/Nevr2pm2kU
Enhancing Type 2 Diabetes Treatment Decisions With Interpretable Machine Learning Models for Predicting Hemoglobin A1c Changes: Machine Learning Model Development https://t.co/crXM7eVKzB
Multiscale Bowel Sound Event Spotting in Highly Imbalanced Wearable Monitoring Data: Algorithm Development and Validation Study https://t.co/zQrv4ZtPb6
Correction: Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and Validation https://t.co/Xea4KlwZ1Q
Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and Validation https://t.co/5qdyEHLGng
Meet the Editors of JMIR AI: Zhijun Yin, MS, PhD
Learn more about Zhijun & view the rest of the editorial board of JMIR AI: https://t.co/xkNScM0ZvB
@zhijun_yin#AcademicTwitter#DigitalHealth#AI
Meet the Editors of JMIR AI: Danica Xiao, PhD
Learn more about Danica & view the rest of the editorial board of JMIR AI: https://t.co/ozRGTcCjoQ
@caoxiao_danica#AcademicTwitter#DigitalHealth#AI
Meet the Editors of JMIR AI: Jimeng Sun, PhD
Learn more about Jimeng & view the rest of the editorial board of JMIR AI: https://t.co/7D5m710Cd6
@jimeng#AcademicTwitter#DigitalHealth#AI
Meet the Editors of JMIR AI: Jean Louis Raisaro, PhD
Learn more about Jean Louis & view the rest of the editorial board of JMIR AI: https://t.co/YfY2cBi11a
@JeanRaisaro#AcademicTwitter#DigitalHealth#AI