Latest AI in Medicine Research | AI Medical Compendium

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Off-the-Shelf Large Language Models for Guiding Pharmacoepidemiological Study Design.

Clinical pharmacology and therapeutics Sep 10, 2025

This study aimed to assess the ability of two off-the-shelf large language models, ChatGPT and Gemini, to support the design of pharmacoepidemiological studies. We assessed 48 study protocols of pharmacoepidemiological studies published between 2018 ... read more

Attention Gated-VGG with deep learning-based features for Alzheimer's disease classification.

Neurodegenerative disease management Sep 10, 2025

BACKGROUND: Alzheimer's disease (AD) is considered to be one of the neurodegenerative diseases with possible cognitive deficits related to dementia in human subjects. High priority should be put on efforts aimed at early detection of AD. RESEARCH DES... read more

The Impact of NOACS versus VKAS on Absolute and Relative Cognitive Function Decline Over Time: A Machine Learning Approach.

Thrombosis and haemostasis Sep 10, 2025

BACKGROUND: Atrial fibrillation (AF) is the most common arrhythmia in older adults and is associated with an increased risk of cognitive impairment and dementia, even in patients without prior stroke. Nonvitamin K antagonist oral anticoagulants (NOAC... read more

Generative AI in perioperative medicine and anesthesiology: ethical integration, educational innovation, and the future of clinical professionalism.

Journal of anesthesia Sep 10, 2025

Generative artificial intelligence (AI) is rapidly transforming perioperative medicine, particularly anesthesiology, by enabling novel applications, such as real-time data synthesis, individualized risk prediction, and automated documentation. These ... read more

Deep-Learning System for Automatic Measurement of the Femorotibial Rotational Angle on Lower-Extremity Computed Tomography.

Journal of imaging informatics in medicine Sep 10, 2025

To develop and validate a deep-learning-based algorithm for automatic identification of anatomical landmarks and calculating femoral and tibial version angles (FTT angles) on lower-extremity CT scans. In this IRB-approved, retrospective study, lower-... read more

Implementing a Resource-Light and Low-Code Large Language Model System for Information Extraction from Mammography Reports: A Pilot Study.

Journal of imaging informatics in medicine Sep 10, 2025

Large language models (LLMs) have been successfully used for data extraction from free-text radiology reports. Most current studies were conducted with LLMs accessed via an application programming interface (API). We evaluated the feasibility of usin... read more

Few-shot learning for highly accelerated 3D time-of-flight MRA reconstruction.

Magnetic resonance in medicine Sep 10, 2025

PURPOSE: To develop a deep learning-based reconstruction method for highly accelerated 3D time-of-flight MRA (TOF-MRA) that achieves high-quality reconstruction with robust generalization using extremely limited acquired raw data, addressing the chal... read more

Letter to the editor regarding Ritter et al: "Machine learning models can define clinically relevant bone density subgroups based on patient-specific calibrated computed tomography scans in patients undergoing reverse shoulder arthroplasty".

Journal of shoulder and elbow surgery Sep 10, 2025

Response to Baek et al. regarding: "Machine learning models can define clinically relevant bone density subgroups based on patient-specific calibrated computed tomography scans in patients undergoing reverse shoulder arthroplasty".

Journal of shoulder and elbow surgery Sep 10, 2025

Design of strictly orthogonal biosensors for maximizing renewable biofuel overproduction.

Journal of advanced research Sep 10, 2025

INTRODUCTION: Transcription factors (TFs) activate transcriptional initiation by binding specific signal molecules (SMs), yet designing TFs to precisely target non-natural SMs remains challenging. OBJECTIVES: Using transcriptional activator BmoR as a... read more

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