AI Medical Compendium

AI-RADS: A Framework for Assessment of Artificial Intelligence Output in Radiology-Development and Multireader Evaluation.

Investigative radiology Feb 9, 2026

BACKGROUND: Despite the growing number of artificial intelligence (AI)-based applications used in radiology, no structured framework exists to assess their case-level reliability or to document overridden outputs in reports. PURPOSE: To develop and e... read more

Comment Letter on "CATALYZE: a deep learning approach for cataract assessment and grading on SS-OCT images".

Journal of cataract and refractive surgery Feb 9, 2026

Leveraging AI-Enabled Learning Health Systems to Advance Value-Based Health Care: A Conceptual Framework.

Health care management review Feb 9, 2026

ISSUE: Despite rapid innovation, health care systems face a persistent 17-year gap between evidence discovery and implementation, undermining efforts to deliver value-based care. Bridging this "know-do gap" is essential to improving outcomes and redu... read more

Artificial intelligence-driven predictive analytics for postoperative management and recovery in trauma patients.

Current opinion in anaesthesiology Feb 9, 2026

PURPOSE OF REVIEW: Post-traumatic care is evolving from a reactive, protocol-driven paradigm to a predictive, personalized approach. This review examines how artificial intelligence and machine learning are redefining postoperative management by pred... read more

Transcriptomic subgroups in soft tissue tumors correlate with morphologic subtype, genomic features, and outcome.

Clinical cancer research : an official journal of the American Association for Cancer Research Feb 9, 2026

PURPOSE: Soft tissue tumors (STT) are highly heterogeneous neoplasms with more than 100 recognized subtypes, many of which lack reliable diagnostic or prognostic markers. We aimed to evaluate the clinical utility of transcriptome sequencing (RNA-seq)... read more

Commentary: Verify before trust: real-world application of an FDA-approved adult-trained artificial intelligence model for intracranial hemorrhage detection in children.

Pediatric radiology Feb 9, 2026

Use of Machine Learning to Predict Hospital Admission for EMS-Treated Infants After a Suspected BRUE.

Pediatric emergency care Feb 9, 2026

OBJECTIVES: This study explored the use of different applied machine learning (ML) classification algorithms to predict hospital admission for infants treated by emergency medical services (EMS) after a suspected brief resolved unexplained event (BRU... read more

Data-driven neurobiological subtyping of Parkinson's disease using diffusion MRI-derived isotropic diffusion.

Neuroradiology Feb 9, 2026

[Imaging of eosinophilic pneumonia : Differential diagnosis in radiological practice].

Radiologie (Heidelberg, Germany) Feb 9, 2026

CLINICAL/METHODICAL ISSUE: Eosinophilic pneumonias are rare inflammatory lung diseases with heterogeneous clinical presentation and variable computer tomography (CT) patterns. Overlap with infectious, drug-induced, or neoplastic entities poses a diag... read more

[Artificial intelligence in sychotherapy-Attitudes and competencies of medical and psychological psychotherapists].

Der Nervenarzt Feb 9, 2026

BACKGROUND: Arificial Intelligence (AI) is increasingly becoming established in medicine, such as therapeutic chatbots in mental health. Despite this, knowledge about clinicians' views and skills is lacking. This study examines the attitudes toward A... read more

Artificial Intelligence Medical Compendium