Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 37,481 to 37,490 of 223,469 articles

3d elastic-modulus imaging using ultrasound linear arrays and efficient data-driven training strategies.

Biomechanics and modeling in mechanobiology
We are developing ultrasonic-based techniques for elastic modulus imaging throughout a tissue volume using the autoprogressive (AutoP) method with linear array transducers. AutoP discovers the constitutive properties of media by estimating the stress... read more 

Concurrent AI-human interaction in prostate cancer MRI interpretation: More hype than help?

European radiology experimental
OBJECTIVE: We evaluated a commercial artificial intelligence (AI) system as a concurrent decision-support tool for clinically significant prostate cancer (csPCa) detection. MATERIALS AND METHODS: In our retrospective study, consecutive patients under... read more 

Enhancing Parkinson's Disease Staging: An Integrative Deep Learning Framework for Multimodal Feature Selection.

Journal of molecular neuroscience : MN
Parkinson's disease (PD) affects 10 million globally, with accurate staging essential for personalized treatment planning. Current UPDRS assessments achieve < 93% accuracy due to subjective clinical judgment and unimodal data limitations, failing to ... read more 

AI-assisted videolaryngoscopy improves intubation success: results from a randomized simulation trial.

Journal of clinical monitoring and computing
Video laryngoscopy has become an integral part of today's airway management. Despite its advantages, loss of depth perception and increased cognitive load remain a challenge and not all airway scenarios can be successfully managed and resolved. This ... read more 

Keypoint detection network for needle localization on intra-procedural MRI in MRI-guided liver interventions.

International journal of computer assisted radiology and surgery
PURPOSE: Segmentation neural networks have demonstrated promising results for interventional needle localization on MRI. However, these networks require large training datasets with tedious annotation processes and additional post-processing steps th... read more 

Development and Validation of Multinomial Logistic Regression and Machine Learning Algorithms for Identifying Refractive Status in Chinese School Aged Children.

Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)
PURPOSE: To develop and validate models to identify pre-myopic children from their myopic and hyperopic peers using ocular biometry and demographic data. METHODS: Multinomial logistic regression (MLR) and machine learning algorithms (random forest an... read more 

A method for the assessment of rheumatoid arthritis using neural network supported static and dynamic thermal analysis.

Physical and engineering sciences in medicine
Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by pain, swelling, stiffness, and loss of joint function, making early diagnosis challenging. The study aims to assess the differences between RA patients (n = 70) and healthy ... read more