AI Medical Compendium

Synthetic cervical spine radiographs: expert validation and transfer learning for low-data settings.

BMC medical informatics and decision making Apr 11, 2026

The application of artificial intelligence in the design of highly compatible knee prostheses: a systematic review.

BMC musculoskeletal disorders Apr 11, 2026

Machine learning approach to estimation of in vivo measured dose and treatment planning for total body irradiation.

Radiation oncology (London, England) Apr 11, 2026

Computed tomography in ARDS, from morphological insights to AI-powered multi-modal analysis: a narrative review.

Journal of intensive care Apr 11, 2026

BACKGROUND: Acute respiratory distress syndrome (ARDS) is a critical clinical condition characterized by acute respiratory failure and high mortality. It poses considerable challenges in both diagnosis and management. Imaging constitutes a central el... read more

Deep-learning-based diagnostic models for transcutaneous oxygen pressure-defined peripheral arterial disease and lower extremity wound healing in patients with diabetic foot.

BMC medical informatics and decision making Apr 11, 2026

BACKGROUND: Few studies have evaluated peripheral artery disease (PAD) and wound healing in patients with lower extremity wounds using a convolutional neural network (CNN)-based deep learning algorithm. We aimed to establish a CNN deep-learning model... read more

Artificial intelligence in microbiology: implications for metagenomics, diagnostics, and AMR surveillance.

Biomedical engineering online Apr 11, 2026

Artificial intelligence (AI) is now a key player in modern microbiology, as it enables high-resolution analyses of genomic, metagenomic, and clinical data for the monitoring of infectious disease and antimicrobial resistance (AMR). Considerable advan... read more

Comparative analysis of deep learning algorithms for rolling element bearing fault classification under variable loads and speeds.

Scientific reports Apr 11, 2026

The cognitive and ethical crossroads: a qualitative study of academic integrity, emotional landscapes, and generative AI integration in nursing education.

BMC nursing Apr 11, 2026

Automated detection and classification of maxillary sinus variations using slice-based and full-volume CBCT deep learning models.

BMC oral health Apr 11, 2026

OBJECTIVE: This study aimed to develop and compare two deep learning models for automated detection and classification of maxillary sinus variations using cone-beam computed tomography (CBCT): a slice-based two-dimensional (2D) model based on sagitta... read more

Advancing cardiovascular screening: deep learning-based heart-sound classification using SMOTE and temporal modeling.

Scientific reports Apr 11, 2026

Artificial Intelligence Medical Compendium

Synthetic cervical spine radiographs: expert validation and transfer learning for low-data settings.

The application of artificial intelligence in the design of highly compatible knee prostheses: a systematic review.

Machine learning approach to estimation of in vivo measured dose and treatment planning for total body irradiation.

Computed tomography in ARDS, from morphological insights to AI-powered multi-modal analysis: a narrative review.

Deep-learning-based diagnostic models for transcutaneous oxygen pressure-defined peripheral arterial disease and lower extremity wound healing in patients with diabetic foot.

Artificial intelligence in microbiology: implications for metagenomics, diagnostics, and AMR surveillance.

Comparative analysis of deep learning algorithms for rolling element bearing fault classification under variable loads and speeds.

The cognitive and ethical crossroads: a qualitative study of academic integrity, emotional landscapes, and generative AI integration in nursing education.

Automated detection and classification of maxillary sinus variations using slice-based and full-volume CBCT deep learning models.

Advancing cardiovascular screening: deep learning-based heart-sound classification using SMOTE and temporal modeling.

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