Rare disease education in medical schools: patient-centered and innovative strategies.
Rare diseases affect 300 million globally. Medical education must adapt to improve care. ππ
November 22, 2025
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Discover the newest research about AI innovations in 𧬠Rare Diseases.
Cracking the code: a head-to-head comparison of expert clinicians and artificial intelligence in diagnosing rare diseases.
AI vs. Clinicians: 28% Diagnosis Match in Rare Diseases π€π©Ί
November 7, 2025
New avenues in childhood vasculitis.
Exploring childhood vasculitis: recent advances in diagnosis, treatment, and future directions. ππ©Ί
October 8, 2025
New Wearable Device Aims to Monitor Muscle Health in Older Adults
New wearable device monitors muscle health in older adults. π¦΅π Aims to detect sarcopenia for timely intervention.
September 29, 2025
Lung lobe segmentation: performance of open-source MOOSE, TotalSegmentator, and LungMask models compared to a local in-house model.
Lung lobe segmentation tools evaluated: TotalSegmentator excels, while data diversity enhances model accuracy. ππ«
September 5, 2025
Global research landscape of retinoblastoma biomarkers: a multidisciplinary bibliometric analysis based on multiple databases (2005-2025).
π Retinoblastoma biomarkers research shows steady growth, with China leading publications. Key hotspots include liquid biopsy and AI integration. π¬
August 16, 2025
Implication of Bimodal Magnetic Resonance and Fluorescence Imaging Probes in Advanced Healthcare: Enhancing Disease Diagnosis and Targeted Therapy.
Bimodal imaging probes enhance disease diagnosis and therapy, combining MRI and fluorescence for improved precision. π§¬π¬
August 4, 2025
Open-Source AI Tools Enhance Medical Scan Reporting for Doctors
Open-source AI tools can assist doctors in reading medical scans effectively and affordably, ensuring patient privacy. π₯π€
August 1, 2025
Collaboration Between UHL, UHN, and Microsoft to Enhance AI in Healthcare
UHL, UHN, and Microsoft partner to advance AI in healthcare, aiming to improve patient care and streamline services. π€π»
July 31, 2025
The Artificial Intelligence-Assisted Diagnosis of Skeletal Dysplasias in Pediatric Patients: A Comparative Benchmark Study of Large Language Models and a Clinical Expert Group.
AI models show 62.2% accuracy in diagnosing skeletal dysplasias, compared to 82.2% by clinical experts. π€π
July 29, 2025