AI Medical Compendium

Explainable AI reveals squamous histology and U-shaped PD-L1 patterns as primary subgroup predictors of neoadjuvant and perioperative immunotherapy benefit in NSCLC: a machine learning analysis.

Cancer immunology, immunotherapy : CII Jun 6, 2026

BACKGROUND: The introduction of neoadjuvant and perioperative immunotherapy has broadened treatment options for resectable non-small cell lung cancer (NSCLC). However, clinical benefit varies across subpopulations, and standard linear models cannot f... read more

Quantitative sleep EEG identifies CSF core biomarker-related subgroups in Alzheimer's disease.

GeroScience Jun 6, 2026

Early detection and biological characterization of Alzheimer's disease (AD) remain challenging, as current diagnostic approaches rely on invasive cerebrospinal fluid (CSF) sampling or costly neuroimaging, limiting scalability. Sleep quantitative elec... read more

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study.

The Lancet. Digital health Jun 5, 2026

BACKGROUND: The introduction of genomic profiling as a tool for molecular classification and clinical outcome prediction has revolutionised the care of patients with brain tumours. Artificial intelligence (AI) provides advanced avenues to convert com... read more

Interpretable Machine Learning Framework for Predicting Major Adverse Cardiovascular Events in Rheumatoid Arthritis Using Electronic Health Records: Multicenter Cohort Study.

JMIR formative research Jun 5, 2026

BACKGROUND: Patients with rheumatoid arthritis (RA) face higher risks of major adverse cardiovascular events than the general population. While machine learning offers powerful predictive capabilities, its clinical adoption is hindered by the "black-... read more

Machine Learning-Guided Survival Prediction and Treatment Sequencing in Advanced Soft Tissue Sarcoma Beyond Second-Line Therapy: A Retrospective Cohort Study.

Oncology and therapy Jun 5, 2026

INTRODUCTION: Evidence guiding the optimal sequencing of later-line systemic therapy in advanced soft tissue sarcoma (STS) remains limited. The aim of this study was to identify prognostic factors for overall survival (OS) beyond second-line treatmen... read more

Leveraging nonlinear relationships and interactions to improve 30-day pneumonia readmission machine learning models.

PloS one Jun 5, 2026

BACKGROUND: Research is needed to develop more accurate readmission prediction models that identify patients at the highest risk of readmission after their initial pneumonia hospitalization. Improving prediction accuracy will support the implementati... read more

Agentic AI in Dermatology: A Call to Action.

JMIR dermatology Jun 5, 2026

Artificial intelligence (AI) tools are shifting from passive, user-initiated tools to proactive agentic AI systems that are capable of autonomous, multi-step actions. These agents can independently gather information, execute sequential tasks, and co... read more

Retrieval-Augmented Language Models for Clinical Decision Support in the Classification of Inborn Errors of Immunity.

Journal of clinical immunology Jun 5, 2026

Early diagnosis of inborn errors of immunity (IEIs) can make a difference in patient outcomes and even cut healthcare costs. However, there are some challenges to overcome, such as clinical complexity, low awareness, and limited resources. Generative... read more

AI-Assisted Medical Documentation in a Multilingual Swiss Health Care System: Proof-of-Concept Study.

JMIR AI Jun 5, 2026

BACKGROUND: Medical documentation imposes a significant administrative burden on physicians and reduces time for direct patient care. Artificial intelligence (AI)-assisted tools such as automatic speech recognition and large language models (LLMs) pr... read more

Machine learning-driven investigation on liquid-liquid phase separation-related prognostic signature in diffuse large B-cell lymphoma.

British journal of haematology Jun 5, 2026

Diffuse large B-cell lymphoma (DLBCL) is the most common aggressive non-Hodgkin lymphoma and is characterized by substantial heterogeneity. This study aimed to develop a liquid-liquid phase separation (LLPS)-related prognostic model to improve risk s... read more

Artificial Intelligence Medical Compendium