Identifying and Reporting Dependent Adult abuse

The Translational Gap in AI for Oropharyngeal Squamous Cell Carcinoma: A TRIPOD+AI Scoping Review of Methodological Barriers to Treatment Deintensification.

RATIONALE AND OBJECTIVES: To map artificial intelligence (AI) and radiomics applications in computed tomography (CT), magnetic resonance imaging (MRI), and fluorodeoxyglucose positron emission tomography/CT (FDG-PET/CT) for oropharyngeal squamous cell carcinoma (OPSCC) in the context of human papillomavirus (HPV) status and treatment deintensification, evaluate reporting quality using TRIPOD+AI (T...

Alignment Between Large Language Models and Consensus in Endoscopic Spinal Disc Surgery: A Comparative Analysis Against the Neurocore-SENSED.

BACKGROUND: The Neurocore-SENSED framework, derived from a three-round modified Delphi process involving 77 international spine surgeons, provides a structured reference standard for reporting in endoscopic spine surgery (ESS) for disc disease. The ability of large language models (LLMs) to reproduce graded levels of expert agreement within a reporting framework has not been examined in ESS. OBJEC...

A Detection, Diagnostic, and Triage AI Buyer's Guide: Questions that Matter.

The published performance of artificial intelligence (AI) models in radiology is typically based on the reporting of sensitivity, specificity, and rec...

Systematic review of mental or behavioral health care in integrated specialty medical care settings.

INTRODUCTION: Although the integration of mental health services is widely accepted as important in primary care, the benefits for specialty medical c...

Artificial Intelligence-Assisted Cone-Beam Computed Tomography Analysis in Alveolar Ridge Preservation: A Narrative Review.

Alveolar ridge preservation (ARP) after tooth extraction depends on accurate three-dimensional bone assessment to optimize implant placement and prost...

Status, challenges, and future directions of machine learning in the management of epilepsy: a systematic review and meta-analysis.

BACKGROUND: Despite advances in epilepsy treatment options, selecting the appropriate therapy for an individual with epilepsy is a process of trial an...

A Clinically Grounded Review of Medical Image Classification: Quantitative Insights into CNNs, Vision Transformers, and Hybrid CNN-ViT Models.

Medical image classification has advanced substantially with convolutional neural networks (CNNs), Vision Transformers (ViTs), and hybrid CNN-ViT arch...

Toward harmonized reporting of Alzheimer's disease biomarkers in clinical practice.

Cerebrospinal fluid biomarkers, and more recently blood-based biomarkers, are playing a pivotal role in reshaping the clinical management of neurodege...

A unified model of short- and long-term plasticity: Effects on network connectivity and information capacity.

Activity-dependent synaptic plasticity is a fundamental learning mechanism that shapes the connectivity and activity of neural circuits. Existing comp...

Privacy-preserving intrusion detection in IoT smart homes using a federated hybrid 1D-CNN-LSTM model with explainable AI.

The proliferation of Internet of Things (IoT) devices in smart home environments has dramatically expanded the attack surface for cyber threats, parti...

Methodological Reporting Quality of Artificial Intelligence-Based Orthopedic Studies: A Literature Analysis.

OBJECTIVE: We set out to examine how completely artificial intelligence (AI)-based orthopedic studies report their methods. METHODS: A PubMed search c...

Retrieval-Augmented Representation for Semi-Supervised Medical Image Segmentation.

Semi-supervised learning (SSL) offers a promising solution to reduce annotation costs in medical image segmentation. Recent text-enhanced SSL methods ...

Artificial intelligence in physical and rehabilitation medicine: first update of the living systematic mapping review up to May 31st, 2025.

BACKGROUND: Artificial intelligence is increasingly applied to rehabilitation; however, persisting gaps in research, such as methodological heterogene...

Impact of Commercial Artificial Intelligence on Radiologist Reading Time for Pulmonary Nodule Evaluation at Chest CT.

Background Chest CT is a primary method for identifying pulmonary nodules, yet interpreting scans remains time-intensive and demanding. Currently, art...

Examining Increased Ritalin and Adderall Use Among Low-Income People Who Use Drugs: Mixed Methods Study.

BACKGROUND: Popular discourse often frames prescription stimulants Ritalin and Adderall as drugs for teens and emerging adults with greater financial ...

The promise and peril of AI for disability health equity: A justice-centered narrative review.

Despite the promising potential of Artificial Intelligence (AI) models to enhance health equities for persons with disabilities, poorly designed appli...

Pharmacological personalization of JAK inhibitors in rheumatoid arthritis: A multi-omics and AI-based scoping review and evidence-gap map.

INTRODUCTION: Personalization of Janus kinase inhibitor (JAKi) therapy in rheumatoid arthritis (RA) remains an unresolved clinical task. Multi-omics/m...

Streamlined TI-RADS Reporting From Bilingual Speech Recognition to LLM-Assisted Conclusion Generation Using a Two-Stage Workflow.

RATIONALE AND OBJECTIVES: To evaluate a two-stage workflow for large language model (LLM)-assisted Thyroid Imaging Reporting and Data System (TI-RADS)...

Current evidence of generative artificial intelligence specifically developed for dental and maxillofacial radiology: a systematic review.

OBJECTIVES: This systematic review aimed to investigate the current development and application landscape of generative artificial intelligence (Gen-A...

Microbial Production of Alternative Proteins for Food Applications: Advances, Industrial Challenges, and Regulatory Status.

The escalating global population and the environmentally inefficient nature of livestock-based protein production are intensifying demand for sustaina...