AI Medical Compendium

New horizons in artificial intelligence-assisted pain management: Evaluation of Gemini performance in the older adults.

Geriatric nursing (New York, N.Y.) Apr 7, 2026

AIM: To reveal the potential of artificial intelligence-based educational applications in increasing the knowledge level and application skills of older adults individuals on pain management. MATERIALS AND METHODS: Specific questions were prepared ba... read more

Infectious medical waste characterization using X-ray transmission with Machine learning.

Waste management (New York, N.Y.) Apr 7, 2026

In Germany, around 425,400 Mg of specially healthcare-related waste is generated annually, of which 2.4% (10,100 Mg) is infectious (EWC 18 01 03*). Its hazardous nature creates organizational and safety challenges for healthcare facilities and dispos... read more

EnamelNet-TRiX: A Lesion-Aware Dual-Transformer With Cross-Attention for Early and Advanced Enamel Caries Diagnosis.

International dental journal Apr 7, 2026

PURPOSE: Dental caries is one of the most prevalent oral diseases worldwide, and predicting Early Enamel Caries (EEC) and Advanced Enamel Caries (AEC) in intraoral imaging is a significant clinical research challenge. To overcome the challenges, this... read more

Antimicrobial peptides in malaria and tuberculosis management: a systematic review of emerging evidence.

International immunopharmacology Apr 7, 2026

AMPs (Antimicrobial peptides) are small molecules that are crucial components of biological activities, viz wound healing, angiogenesis, antimicrobial activity, immune regulation, and exhibit anticancer properties. This systematic review summarizes t... read more

A unified multimodal framework for chest X-ray retrieval and disease prediction for clinical decision support.

Computers in biology and medicine Apr 7, 2026

Recent advances in medical imaging and natural language processing enable new opportunities for automated diagnostic support. Chest X-rays (CXRs) remain the most common imaging modality for screening pulmonary, cardiovascular, and systemic diseases; ... read more

Fusion-m6A: A lightweight hybrid deep learning framework for RNA m6A site prediction.

Computers in biology and medicine Apr 7, 2026

N6-methyladenosine (m6A) is the most common mRNA modification and plays key role in RNA metabolism, gene regulation, and disease. Accurate identification of m6A sites is critical for understanding their functional and biological significance. Althoug... read more

Key oral hypofunction components for geriatric syndromes: Machine learning approach.

Journal of prosthodontic research Apr 7, 2026

PURPOSE: Oral hypofunction (OHF) is defined as a multidimensional impairment of oral function that may contribute to the development of geriatric syndromes. This cross-sectional study aimed to assess the relative importance of seven OHF components in... read more

Corrigendum to "Predicting the usage of seasonal drugs by utilizing advanced machine learning: An albuterol case study" [Res Soc Administrat Pharm 22 (4) 611-615 (2026) 1551-7411].

Research in social & administrative pharmacy : RSAP Apr 7, 2026

PET imaging of polymyalgia rheumatica: update and future trends.

Seminars in nuclear medicine Apr 7, 2026

Polymyalgia rheumatica (PMR) is a common immune-mediated inflammatory disease affecting older adults over 50 years of age and is characterized by constitutional symptoms with disabling pain and stiffness. Diagnosis remains challenging as clinical fea... read more

Re: Jethro C.C. Kwong, Zizo Al-Daqqaq, Yashan Chelliahpillai, et al. Development and International Evaluation of an Artificial Intelligence-based Model (PROGRxN-BCa) Using the World Health Organization 2004/2022 Grading System to Predict Progression Risk and Improve Substratification for Non-muscle-invasive Bladder Cancer. Eur Urol. In press. https://doi.org/10.1016/j.eururo.2025.09.4145.

European urology Apr 7, 2026

Artificial Intelligence Medical Compendium