
MRI quantitative imaging biomarkers in differentiating brain parenchymal tuberculoma and lung cancer brain metastases.
MRI radiomics model distinguishes brain tuberculoma from lung cancer metastases with AUC up to 0.986. ππ§
Discover the newest research about AI innovations in π£οΈ Speech Recognition.

MRI radiomics model distinguishes brain tuberculoma from lung cancer metastases with AUC up to 0.986. ππ§

Quantitative imaging enhances ILD diagnosis and treatment, utilizing CT and emerging MRI techniques. ππ«

Exploring intelligent sensing: Machine learning meets hydrogels & ionogels for health monitoring and beyond! π€π§

Exploring Inner Speech Decoding: Neural Signals, Machine Learning, and Ethical Implications π§ π¬

Implementation science bridges AI and medical imaging, addressing barriers for effective clinical adoption. π€π

Innovative ASR models enhance transcription accuracy for ordinary and characterized speech using multi-hypotheses curriculum learning. ππ£οΈ

Innovative CPF-TOPSIS model enhances decision-making in speech and sports training, improving accuracy by addressing uncertainty. ππ€ποΈββοΈ

Cough frequency monitoring: key technologies and clinical applications revealed in recent research. ππ€

Remote MRI scanning pilot reduces patient wait times and DNA rates, enhancing flexibility and training efficiency. π₯π

Lung lobe segmentation tools evaluated: TotalSegmentator excels, while data diversity enhances model accuracy. ππ«