Practice Management

Hands-on Artificial Intelligence Education for Radiology Residents: A Three-year Feasibility and Curriculum Implementation Study.

RATIONALE AND OBJECTIVES: Artificial intelligence (AI) has rapidly transformed radiology practice, yet structured and practical AI education remains inconsistently integrated into radiology residency training. We developed and implemented a hands-on AI curriculum designed to integrate core computational principles with clinically relevant imaging applications. This study describes the curriculum d...

Mapping the combinatorial coding between olfactory receptors and perception with deep learning.

The sense of smell remains poorly understood compared with vision and audition. At its core is an information flow in which odorant molecules activate subsets of olfactory receptors (ORs) and combinations of receptor activations encode distinct percepts. However, predicting molecule-OR interactions, and linking them to perception, remains difficult. Here, we develop MolOR, an approach that maps od...

A Critical Synthesis of Machine Learning in Autism Spectrum Disorder Genomic Research: From Transcriptomics to Microbiome.

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by persistent impairments in social communication, restricted i...

Using Artificial Intelligence for Food Identification and Dietary Assessment within Restaurant and Institutional Settings: A Scoping Review.

BACKGROUND: Recent advancements in artificial intelligence (AI) have led to greater usage of machine and deep learning approaches to assess dietary in...

Identification of Primary Sclerosing Cholangitis: ICD-10 Code Validation and Comparison with a Large Language Model Approach.

BACKGROUND: Retrospective studies investigating primary sclerosing cholangitis (PSC) have been limited by the absence of a PSC-specific diagnostic cod...

Identification of comorbidity-based clusters and mortality risk in hospitalised patients with diabetes mellitus in Karachi, Pakistan: a machine learning analysis.

BACKGROUND: Diabetes has reached epidemic proportions in Pakistan. This study applied machine learning (ML) techniques to identify comorbidity-based a...

Precision education in the era of AI: promise, pitfalls, and the data divide.

Combining the power of artificial intelligence (AI) and the clinical data within Electronic Health Records is an innovation that may provide actionabl...

Real Time Self-Monitoring of Adhesion State via Machine Learning-Assisted Traffic Light Color-Coding in Silicone-Based Smart Superglue.

Despite significant advancements in robust adhesive materials, convenient monitoring adhesion strength under service conditions before adhesion failur...

Assessing the Utility of Social Determinants of Health Data in Suicide Prediction Models.

OBJECTIVE: This study seeks to explore the utility of social determinants of health (SDoH) variables in suicide prediction models. We aim to assess th...

Automating Motivational Interviewing Coding in Adolescent Substance Use Prevention: Human-AI Agreement Study.

BACKGROUND: Motivational interviewing (MI) is widely used in preventive interventions, yet coding MI techniques and monitoring intervention adherence ...

Patients' Perspectives on Applications of AI and Personalized Medicine in Life-Threatening Heart Disease: European Cross-Sectional Patient Questionnaire Study.

BACKGROUND: The growing integration of personalized risk prediction (PRP) and AI substantially reshapes diagnostic and therapeutic decision-making in ...

Ethical and Regulatory Issues in Governing AI-Enabled Software as a Medical Device: A Scoping Review.

PURPOSE: Artificial intelligence (AI)-enabled software as a medical device (SaMD) is increasingly used across clinical specialties, but its governance...

An Umbrella Review of Artificial Intelligence Applications in Mental Health Care.

BACKGROUND: Artificial intelligence (AI) is increasingly used in mental health care to address rising demand, workforce shortages and access barriers;...

ICU Open-Access Databases for Artificial Intelligence in Sepsis: Balancing Innovation With Data Quality Challenges.

OBJECTIVES: To evaluate the suitability of three major open-access ICU databases (Medical Information Mart for Intensive Care IV [MIMIC-IV], eICU Coll...

Artificial intelligence learning objectives in radiography education: A document analysis.

INTRODUCTION: Artificial Intelligence (AI) is rapidly changing healthcare delivery and radiography, impacting both practice and education. Despite its...

An ICD gene set-derived immune contexture signature for colorectal cancer prognosis: integrated single-cell and bulk transcriptomic analysis with external validation.

Immunogenic cell death (ICD) links tumor cell demise with antitumor immunity, but the transcriptional features associated with ICD gene expression pat...

A Perovskite Memdiode-Based Neuromorphic in Silico Surrogate Model for Emulating Predictive Coding Failure in Diabetic Neuropathy.

Halide perovskite memdiodes have coupled ionic-electronic dynamics and are promising candidates for artificial synapses in neuromorphic computing. We ...

Ethics of Autonomous AI Clinical Trials: Delphi Study.

BACKGROUND: Safe implementation of autonomous AI in medicine requires rigorous evaluation through clinical trials. The 7 guiding principles for ethica...

AI-assisted radiographic fracture detection and length of stay in the adult ambulatory orthopedic emergency department: a before-after cohort study with a disease-specific internal control.

BACKGROUND: Although artificial intelligence-assisted radiographic fracture detection tools (AI-RFDT) have demonstrated high diagnostic accuracy in ad...

Large Language Models in Spine Surgery: A Scoping Review of Clinical Efficacy, Technical Integration, and Ethical Paradigms.

Study DesignScoping review.ObjectivesTo map spine literature on large language models, characterize reported use cases, and identify evidence gaps lim...