Bibliometric and Visualized Analysis of Research Relating to Spinal Modic Changes Reported Over the Period 2004-2024.
π Spinal Modic Changes: 603 Articles, 168 Journals, Key Hotspots Identified! π§
September 20, 2025
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Discover the newest research about AI innovations in π€ Machine Learning.
Comparative Efficacy of ChatGPT and Gemini in Addressing Patient Queries on Gonarthrosis and Total Knee Arthroplasty: A Randomized Controlled Trial.
AI in Healthcare: ChatGPT outperforms Gemini in patient queries on knee surgery! ππ€
September 20, 2025
Detection and score grading for prostate adenocarcinoma using semantic segmentation.
Prostate cancer detection improved: 92% accuracy using deep learning on 100 biopsy images. ππ¬
September 20, 2025
Enabling micro-assessments of skills in the simulated setting using temporal artificial intelligence-models.
AI in Thyroid Ultrasound Training: 70% Accuracy Achieved! π€π Automated assessments enhance skill evaluation in medical simulations.
September 19, 2025
SynthMedic: Utilizing large language models for synthetic discharge summary generation, correction and validation.
“Exploring SynthMedic: 900 synthetic discharge summaries with 94.35% usability score! π€π”
September 19, 2025
AI Model Enhances T-cell Immunotherapy and Vaccine Development
AI enhances T-cell immunotherapy and vaccine development, improving predictions of T cell responses. π€π
September 19, 2025
[Cough frequency monitoring: current technologies and clinical research applications].
Cough frequency monitoring: key technologies and clinical applications revealed in recent research. ππ€
September 19, 2025
AI Models Enhance Predictions for Chronic Kidney Disease Progression
AI models improve predictions for chronic kidney disease progression, aiding early detection and management. π©Ίπ
September 18, 2025
Deep learning model using cross-sequence learning to identify orbital fractures in radiographs of patients under 20Β Years.
Deep learning model detects orbital fractures in youth radiographs: AUROC 0.802, sensitivity 65.8%, specificity 86.5%. πποΈ
September 18, 2025
Predicting severe renal dysfunction in alcohol-associated cirrhosis: Comparative performance of liver function scores and machine learning models.
Predicting severe renal dysfunction in cirrhosis: MELD score shows 80% prevalence at high levels. Machine learning enhances accuracy! ππ
September 18, 2025