AI Medical Compendium

Mapping the Mandibular Lingual Foramina for Safer Chin Surgery: CT Morphometry and Predictive Modeling.

Aesthetic plastic surgery Apr 9, 2026

BACKGROUND: Submental hematoma after genioplasty is rare but can be life-threatening, and current imaging data give limited patient-specific guidance for chin osteotomy design. METHODS: We combined targeted cadaveric dissection of two perfused heads ... read more

The Impact of Specific Prompt Engineering Techniques on the Readability of LLM-Generated Patient Materials in Gastroenterology and Hepatology.

Digestive diseases and sciences Apr 9, 2026

BACKGROUND AND AIMS: Health literacy significantly impacts patient outcomes. While the average American reads at an 8th grade reading level, healthcare materials are often written above this, potentially contributing to our nation's health literacy g... read more

MEG Neural Decoding Pipeline: The Issues Residing Within The Data and Methods to Improve Your Decoding Accuracy.

Annals of biomedical engineering Apr 9, 2026

This study suggests a new analysis pipeline of MEG data, uniquely designed for neural decoding of small-sized datasets. It combines classic methods that assume stationarity of the data together with non-stationary methods to compensate for the distor... read more

PET-CT radiomics and artificial intelligence for predicting lymph node metastasis in cervical cancer: a systematic review and meta-analysis.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico Apr 9, 2026

PURPOSE: Preoperative identification of lymph node metastasis (LNM) in cervical cancer is crucial for guiding therapeutic strategies but remains clinically challenging. This study represents the first systematic meta-analysis to quantitatively evalua... read more

Performance of Deep Learning Reconstruction for Detection of Early Ischemic Changes in NCCT: Comparison with ASIR-V in Acute Stroke.

Clinical neuroradiology Apr 9, 2026

PURPOSE: Evaluation of the impact of Deep Learning Image Reconstruction (DLIR) compared to Adaptive Statistical Iterative Reconstruction-Veo (ASIR-V) on image quality and early ischemic changes detection on non-contrast computed tomography (NCCT) in ... read more

Patient-specific instantaneous spatial temperature maps for MR-guided laser interstitial thermal therapy using a physics-assisted deep learning framework.

International journal of computer assisted radiology and surgery Apr 9, 2026

PURPOSE: Accurate prediction of the laser energy absorption and corresponding thermal spread is essential for safe and effective outcomes in magnetic resonance-guided laser interstitial thermal therapy (MRgLITT), as it enables clinicians to anticipat... read more

Transformation of a Medical Information Department to Meet the New Healthcare Realities of the Post-Pandemic Era.

Pharmaceutical medicine Apr 9, 2026

The role of Medical Information in the pharmaceutical industry is undergoing a profound transformation, driven by evolving stakeholder expectations, digital innovation, and the increasing complexity of therapeutic landscapes. Traditionally perceived ... read more

Eight tips for team-based scholarship in integrated care.

Families, systems & health : the journal of collaborative family healthcare Apr 9, 2026

INTRODUCTION: This article presents eight practical strategies to enhance team-based scholarship in integrated care workforce development for the nonresearcher. It addresses the importance of assembling interdisciplinary teams with complementary skil... read more

Causal mediation analysis with one or multiple mediators: A comparative study.

Psychological methods Apr 9, 2026

Mediation analysis decomposes the causal effect of a treatment on an outcome into an indirect effect, mediated through intermediate variables, and a direct effect, operating through other mechanisms. However, mediation analysis is challenging due to ... read more

Machine Learning Potential-Enabled Platform for the In Silico Design of Functional Organic Molecular Crystals.

Journal of chemical information and modeling Apr 9, 2026

The design and discovery of functional molecular materials can be greatly accelerated through in silico approaches. Machine learning (ML) models, in particular, demonstrate significant promise for the rapid analysis and manipulation (and reanalysis) ... read more

Artificial Intelligence Medical Compendium