Artificial intelligence for diagnosing rare bone diseases: a global survey of healthcare professionals.
AI in Rare Bone Disease Diagnosis: 91% of healthcare professionals value imaging! π€π Concerns about AI errors persist.
July 17, 2025
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Discover the newest research about AI innovations in πΆ Pediatrics.
Handspring Raises $12 Million for Pediatric Mental Health Services
Handspring secures $12 million for pediatric mental health services, enhancing virtual care for youth and families. π§ π°
June 29, 2025
Is it a pediatric orthopaedic urgency or not? Can ChatGPT answer this question?
AI in Pediatric Orthopaedics: ChatGPT’s Accuracy Evaluated ππ€
June 4, 2025
Morphometric and radiomics analysis toward the prediction of epilepsy associated with supratentorial low-grade glioma in children.
Predicting epilepsy in children with low-grade glioma: 95.5% precision, 93.8% accuracy using radiomics and machine learning. ππ§
May 20, 2025
Innovative, Technology-Driven, Digital Tools for Managing Pediatric Urinary Incontinence: Scoping Review.
Exploring digital tools for pediatric urinary incontinence: 66 studies reveal innovative solutions! ππ‘
May 12, 2025
Artificial intelligence in pediatric otolaryngology: A state-of-the-art review of opportunities and pitfalls.
AI in pediatric otolaryngology: promising diagnostics, challenges in data, and future research directions. π€πΆ
May 10, 2025
Woebot Health to Retire AI Mental Health App
Woebot Health will retire its AI mental health app on June 30. Users can download conversation history until then. π π¬
April 26, 2025
Optimizing machine learning models for predicting anemia among under-five children in Ethiopia: insights from Ethiopian demographic and health survey data.
Machine learning predicts anemia in Ethiopian children: Random forest model achieves 81.16% accuracy! ππΆ
April 23, 2025
Chatbots for Conducting Systematic Reviews in Pediatric Dentistry.
Chatbots show promise in systematic reviews for pediatric dentistry, enhancing efficiency but needing human oversight for accuracy. π€π
April 8, 2025
Machine learning of clinical phenotypes facilitates autism screening and identifies novel subgroups with distinct transcriptomic profiles.
Machine learning enhances autism screening accuracy, identifying distinct subgroups. Promising for personalized interventions. π€π§©
April 7, 2025