AI Medical Compendium

Exploratory prediction model for deep vein thrombosis in intensive care patients after anticoagulation therapy: An observational study.

Australian critical care : official journal of the Confederation of Australian Critical Care Nurses Apr 2, 2026

BACKGROUND: Despite low-molecular-weight heparin (LMWH) prophylaxis, the incidence of deep vein thrombosis (DVT) remains high in intensive care unit (ICU) patients, creating a need for personalised risk assessment to enable precision prevention. OBJE... read more

Building your future ICU in Asia Pacific: A structured regional priority-mapping summit report from the Asia Pacific Critical Care Societies Summit 2025.

Journal of critical care Apr 2, 2026

OBJECTIVE: To summarise the proceedings of the third Asia Pacific Critical Care Societies Summit and identify regionally aligned priorities for the "Future of Your ICU" across diverse health systems. DESIGN: Structured regional priority-mapping summi... read more

Non-lethal molecular biomonitoring of pyrethroid exposure in freshwater fish using FTIR spectroscopy and machine learning.

Chemosphere Apr 2, 2026

Pyrethroid pesticides such as lambda-cyhalothrin (LC) continue to pose substantial risks to freshwater ecosystems, where sublethal exposures may impair physiological function in non-target organisms. However, conventional monitoring techniques remain... read more

AI-based methods for simulating, sampling, and predicting protein ensembles.

Current opinion in structural biology Apr 2, 2026

Advances in deep learning have opened an era of abundant and accurately predicted protein structures; however, similar progress in protein ensembles has remained elusive. This review highlights several recent research directions towards AI-based pred... read more

Progress of Multimodal Imaging: Bridging Orthodontics to Comprehensive Oral Multidisciplinary Care.

International dental journal Apr 2, 2026

INTRODUCTION AND AIMS: For decades, orthodontic diagnosis and treatment have primarily depended on physical models, imaging techniques, and three-dimensional (3D) imaging technologies. Nevertheless, single-modal data exhibits inherent limitations, in... read more

Human in the loop: Balancing artificial intelligence, clinical judgment, and legal responsibility.

International journal of law and psychiatry Apr 2, 2026

Artificial intelligence (AI) is increasingly integrated into mental health care, legal decision-making, and forensic practice. Proponents argue that AI can augment professional judgment by improving prediction, efficiency, and consistency. Yet AI ope... read more

Prevention of frailty in the elderly: an expert-based evaluation of measures proposed by artificial intelligence.

Geriatric nursing (New York, N.Y.) Apr 2, 2026

INTRODUCTION: The use of artificial intelligence (AI), particularly conversational agents such as ChatGPT, is expanding in the healthcare industry. We aimed to assess the responses provided by ChatGPT regarding the prevention of frailty in the elderl... read more

Artificial Intelligence-Assisted reflectance confocal microscopy for Real-Time intraoperative margin assessment in oral squamous cell carcinoma.

Oral oncology Apr 2, 2026

BACKGROUND: Oral cavity squamous cell carcinoma (OSCC) is a global health burden, where negative margins are essential for reducing recurrence and improving survival. Intraoperative frozen-section analysis is limited by time, sampling error, and inte... read more

"SP" (aka Standardized/Simulated Patient/Participant/Person).

Simulation in healthcare : journal of the Society for Simulation in Healthcare Apr 2, 2026

The acronym "SP" is widely used in simulation-based education, yet its meaning varies across contexts, referring at different times to standardized patient, simulated patient, simulated participant, or simulated person. This commentary traces the his... read more

Brain Tumor Classification and Severity Identification Using Deep Convolutional Spiking U-Net Lyrebird Neural Network and Alpha Piecewise Linear-Fuzzy.

Cancer biotherapy & radiopharmaceuticals Apr 2, 2026

Purpose: To develop a robust framework that accurately classifies brain tumors and provides an estimation of their severity using an artificial intelligence approach to solve issues related to multimodal MRIs (Magnetic Resonance Imaging), such as res... read more

Artificial Intelligence Medical Compendium