AI Medical Compendium

Prediction of avatrombopag-induced thrombocytosis in pediatric immune thrombocytopenia: an AI-based real-world study.

Annals of hematology Jun 9, 2026

Avatrombopag (AVA), an oral thrombopoietin receptor agonist (TPO-RA), has demonstrated favorable efficacy in the treatment of pediatric immune thrombocytopenia (ITP). However, treatment-related thrombocytosis represents a clinically relevant adverse ... read more

Re-Centering Clinical Documentation in the Age of AI Scribes: Four Aims of the Patient Chart Note.

JMIR medical education Jun 8, 2026

Clinical documentation is a foundational skill in medicine, developed during training and required in everyday practice. Historically, the chart note functioned as a clinician-centered cognitive tool for reasoning, teaching, and communication but has... read more

Rehabilitation Protocols Following Patellar Instability Surgery: A Structured Review of Published Recommendations and AI Generated Guidance.

Current reviews in musculoskeletal medicine Jun 8, 2026

PURPOSE OF REVIEW: To review postoperative rehabilitation protocols after surgery for patellar instability, including medial patellofemoral ligament reconstruction (MPFLR), tibial tubercle osteotomy (TTO), trochleoplasty, and combined procedures. A s... read more

Generative Artificial Intelligence Chatbots for Parental Guidance in Pediatric Orthopaedics: A Pilot Feasibility Study.

JB & JS open access Jun 9, 2026

BACKGROUND: Parents of children with pediatric orthopaedic conditions frequently have questions after their clinic visit, and a reliable postconsultation resource to address these enquiries is lacking. Online resources are variable in quality, and ge... read more

AI-guided prediction of ncRNA biochemical features for therapeutic targeting.

Trends in pharmacological sciences Jun 9, 2026

Noncoding RNAs (ncRNAs) are increasingly recognized as important therapeutic targets across human diseases, driving advances in RNA-targeting modalities. However, successful therapeutic engagement depends on key biochemical properties of the target n... read more

Artificial Intelligence Governance in Health Systems: Systematic Review of Frameworks and Integrative Model Proposal.

Journal of medical Internet research Jun 8, 2026

BACKGROUND: Several artificial intelligence (AI) governance frameworks have emerged to help health systems (HS) address AI-related risks. However, most fail to capture the multidimensional and evolving nature of real-world governance. OBJECTIVE: This... read more

Combining artificial intelligence analysis with expert mammogram reading: Determining the optimal AI positivity cut-off point for the French population-based breast cancer screening program.

Cancer epidemiology Jun 8, 2026

PURPOSE: Artificial intelligence (AI) is increasingly explored as a complement to radiologists in population-based breast cancer screening, yet optimal strategies for its integration remain unclear. The French program relies on systematic double read... read more

Data-driven science, ethics and risk: Building knowledge of key ethics-risk intersections relevant to public sector decision-making.

Alternatives to laboratory animals : ATLA Jun 8, 2026

Risk decision-making has evolved from a vernacular focused on risk assessment and management to fully integrated approaches designed to inform risk acumen. Consequently, there has been a renewed interest, particularly in areas with significant paradi... read more

Cross-modal attentive fusion network for tri-modal lesion growth prediction.

Scientific reports Jun 8, 2026

Pre-trained LSTM-RNN models with linear kernels fail to capture irregular, non-linear lesion growth patterns. In this paper presents a new deep learning model is called Cross-Modal Attention Fusion Network (CMAFN) to enhance an effective feature fusi... read more

Artificial intelligence enabled performance evaluation of an enhanced SPR biosensor for malaria diagnosis.