
Shared decision-making in radiology: leadership levers for patient-centred imaging.
Shared decision-making in radiology enhances patient care through leadership strategies and AI tools. Key findings from our review. ππ€
Discover the newest research about AI innovations in 𦴠Orthopedics.
Shared decision-making in radiology enhances patient care through leadership strategies and AI tools. Key findings from our review. ππ€
Lung lobe segmentation tools evaluated: TotalSegmentator excels, while data diversity enhances model accuracy. ππ«
Hybrid AI strategy improves mammogram reading efficiency, reducing radiologist workload by 38% while maintaining detection rates. ππ©Ί
AI and ML revolutionize spine care, enhancing diagnostics and treatment precision. Key findings from PubMed article reveal significant advancements! π€π
Bimodal imaging probes enhance disease diagnosis and therapy, combining MRI and fluorescence for improved precision. π§¬π¬
AI model improves tumor detection in breast MRI, enhancing accuracy and efficiency for better cancer screening. π©Ίπ
AI system detects early osteoporosis signs from X-ray images, improving diagnosis and screening efficiency. π¦΄πΈ
Adolescent lumbar disc herniation: rising incidence, unique diagnosis, and evolving treatment options. ππ©Ί
North Bristol NHS Trust has completed over 9,000 robotic surgeries, enhancing patient care and reducing waiting times. π€π₯
AI in Pediatric Orthopaedics: ChatGPT’s Accuracy Evaluated ππ€