AI Medical Compendium

A systematic review of machine learning techniques for real-time speech and noise classification in hearing aids.

Disability and rehabilitation. Assistive technology May 13, 2026

Introduction: Hearing loss significantly impairs speech comprehension in noisy environments, creating major communication challenges for individuals with hearing impairment. Modern hearing aids increasingly rely on intelligent systems capable of real... read more

Carbonic anhydrase under the computational lens: a review of advances, challenges, and future directions.

Journal of molecular modeling May 13, 2026

CONTEXT: Carbonic anhydrases (CAs) are zinc metalloenzymes responsible for the catalysis of the reversible hydration of carbon dioxide and play pivotal roles in many physiological and pathological processes. The complexity of CA isoforms with distinc... read more

Urban river health evaluation in semi-arid Xi'an, China: a hybrid RF-DNN framework integrating multi-source and SHAP-based interpretability.

Environmental monitoring and assessment May 13, 2026

Rapid urbanization in semi-arid regions subjects metropolitan rivers to a distinctive form of hydrologic-physical impairment-herein designated as Type 4 degradation-characterized by connectivity fragmentation, baseflow depletion, and physical habitat... read more

A systematic evaluation of protein allosteric site prediction tools with independent datasets.

Journal of computer-aided molecular design May 13, 2026

Allostery plays a critical role in protein dynamics and is essential for many biological functions. Over the past decade, various computational approaches have been proposed for predicting allosteric sites. However, the strengths and weaknesses of ea... read more

Automated classification of sagittal, vertical, and transverse malocclusions from 3D intraoral scans via a multi-head CNN framework.

Odontology May 13, 2026

This study aimed to develop and evaluate a multi-task deep learning model for the simultaneous classification of sagittal, vertical, and transverse malocclusion components, as well as midline deviation, using three-dimensional (3D) intraoral scan (IO... read more

Diagnostic performance of artificial intelligence in periapical radiography: a systematic review.

Odontology May 13, 2026

To systematically evaluate the diagnostic accuracy of artificial intelligence (AI) models in periapical radiography for detection, classification, and segmentation tasks compared to human experts, while critically appraising methodological quality an... read more

Lower odds of prevalent vertebral fractures with b/tsDMARD use among rheumatoid arthritis patients in clinical remission: a retrospective observational study.

Clinical rheumatology May 13, 2026

OBJECTIVES: This study investigated serum pentosidine levels as an advanced glycation end product (AGE)-related marker of bone matrix deterioration and examined the association between b/tsDMARD use and prevalent vertebral fractures in patients with ... read more

Machine learning for risk stratification of postoperative corneal edema in East Asian cataract patients: a model for precision ophthalmology.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie May 13, 2026

PURPOSE: To develop and validate machine learning (ML) models for predicting early postoperative corneal edema (CE) after phacoemulsification in patients with normal preoperative corneal endothelium. METHODS: A retrospective cohort study analyzed dat... read more

Insular morphological abnormalities in focal to bilateral tonic-clonic seizures.

Neuroradiology May 13, 2026

PURPOSE: Focal to bilateral tonic-clonic seizures (FBTCS) is the most severe form of epileptic seizures, posing a major challenge in both management and research. This study aimed to characterize microstructural abnormalities in the normal-appearing ... read more

Explainable Artificial Intelligence (AI) for Medical Imaging: A Framework for Bridging the AI Trust Gap.

AJR. American journal of roentgenology May 13, 2026

Artificial intelligence (AI) is increasingly used in healthcare but often lacks clinician and patient trust. Explainable AI (XAI) aims to clarify predictions and to make AI decisions more transparent, interpretable, and clinically actionable. Yet, cu... read more

Artificial Intelligence Medical Compendium