Artificial Intelligence Medical Compendium

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

Showing 36,791 to 36,800 of 223,469 articles

Impact of Robotic Assisted Treadmill Gait Training on Walking Performance in Children With Spastic Diplegic Cerebral Palsy: A Randomized Controlled Study.

Physiotherapy research international : the journal for researchers and clinicians in physical therapy
BACKGROUND AND PURPOSE: Children diagnosed with diplegic cerebral palsy frequently experience gait difficulties that can significantly affect their independence and quality of life. The development of advanced technologies presents opportunities to e... read more 

Deep Learning-Based Inner Ear Subregion Segmentation in 3D T2-Weighted MRI Using Label-Preserving Data Augmentation.

NMR in biomedicine
Inner ear segmentation supports the diagnosis and treatment planning of auditory-related disorders such as Meniere's disease. However, manual annotation of inner ear structures on MR images is both time-consuming and labor-intensive. To address this ... read more 

The Psychological Pathways to AI Resistance: Religiosity, Populism and Anxiety as Predictors of AI Engagement.

International journal of psychology : Journal international de psychologie
This study investigates how religiosity affects individuals' intentions to engage with artificial intelligence (AI) using a non-WEIRD sample (N = 422). We examined populist beliefs and AI-related anxiety as mediators in this relationship. Results ind... read more 

Automated Detection and Risk-Related Behavior Recognition of Long-Tailed Macaques in a University Campus Area Using CNN-Based Object Detection.

Journal of medical primatology
BACKGROUND: Increasing interface zones between long-tailed macaques (Macaca fascicularis) and humans can increase macaques' risk-related behaviors to human safety because of their aggressiveness. In addition, risk to human properties and the environm... read more 

Challenges in using natural language processing to stratify students by narrative assessments in undergraduate medical education.

Academic medicine : journal of the Association of American Medical Colleges
PROBLEM: Medical educators pay increasing attention to the potential utility of narrative data for assessment, but lack of efficient and standardized ways of interpreting the data have limited its use. Natural language processing (NLP) algorithms cou... read more 

Detection and Classification of Peri-Implant Marginal Bone Loss in Cone-Beam Computed Tomography Using a Deep Learning Approach.

Clinical and experimental dental research
OBJECTIVES: Modern dental implants have high long-term survival, but peri-implant marginal bone loss remains a multifactorial cause of implant failure and often is radiographically occult. Cone-beam computed tomography (CBCT) provides superior 3D ass... read more