Devices and Vaccines

Preserving privacy, enabling collaboration: Decentralized learning framework for multi-class orthopedic imaging.

Medical imaging data are inherently distributed across healthcare institutions and subject to strict privacy regulations, limiting the feasibility of centralized model training. In orthopedic imaging, further challenges arise from heterogeneous diagnostic tasks, implant categories, and label spaces that differ across institutions. Existing decentralized approaches, including federated and swarm le...

The Continuity Trap in Data Science Health Research.

Secondary use is now the ordinary condition of data science health research rather than an exception to it. Electronic health records collected for clinical care become prediction tools and inputs for generative AI; imaging archives become foundation-model corpora; genomic datasets become resources for polygenic risk scores; and legacy biospecimens become renewable, indefinitely distributable cell...

Machine Learning-Based Risk Prediction of In-Hospital Mortality in Patients With Non-ST-Elevation Acute Coronary Syndrome at Various Stages of the Diagnostic Process: Observational Study.

BACKGROUND: Despite advances in understanding and treating non-ST-elevation acute coronary syndrome (NSTE-ACS), patients continue to experience high r...

Accuracy of artificial intelligence-based functions in intraoral scanners: A systematic review.

STATEMENT OF PROBLEM: Artificial intelligence (AI)-based applications have increasingly been developed and integrated in different digital data acquis...

1,357 AI medical devices cleared, 3 actually tested on patient outcomes.

Artificial intelligence (AI) tools are entering clinical practice at unprecedented speed. 1,357 AI/ML-enabled medical devices have received U.S. FDA c...

Nanotechnology-based immunotherapy: integrating Artificial Intelligence (AI) with current strategies in combating brain cancer disease.

Brain cancer is one of the most challenging malignancies and a major contributor to worldwide morbidity and mortality. Glioblastoma, the most aggressi...

Comparative outcomes of balloon-expandable versus self-expanding transcatheter aortic valves: insights from a large-scale German registry.

BACKGROUND: While transcatheter aortic valve replacement (TAVR) has become an established alternative to surgical aortic valve replacement (SAVR), the...

Cost-Effectiveness of an Artificial Intelligence as a Medical Device (AIaMD) for Triaging Patients Presenting to Primary Care with Concerns that They Have a Skin Cancer: A Modelling Study.

INTRODUCTION: Health services are struggling to cope with the growing numbers of people coming with skin lesions they are worried could be cancer. Usi...

A novel AI system for preliminary triage support in single-tooth edentulous spaces using intraoral images.

This study aimed to demonstrate the integration of deep learning (DL) and machine learning (ML) using only occlusal photographs to provide preliminary...

Radiotherapy and immunotherapy in cancer treatment: mechanisms of clinical synergy.

Synergizing radiotherapy (RT) with immune checkpoint inhibitors has emerged as a promising strategy for solid tumors. RT acts as a potent immunomodula...

Development and clinical validation of a point-of-care cytology screening tool for oral potentially malignant disorders and oral squamous cell carcinoma using a deep learning convolutional neural network: protocol for a diagnostic accuracy study.

INTRODUCTION: Oral potentially malignant disorders (OPMDs) and oral squamous cell carcinoma (OSCC) present a remarkable public health challenge worldw...

Triboelectric Tactile Sensors for Embodied Intelligence: Design, Performances, and Applications.

Embodied intelligence is driving artificial intelligence from digital reasoning toward real physical interaction, while tactile perception capabilitie...

Using natural language processing and machine learning to identify social needs in patient medical notes: model training with balanced versus real-world datasets.

OBJECTIVE: To evaluate natural language processing (NLP) and machine learning (ML) approaches for identifying social needs in electronic health record...

Cross-Species Generalization and Comparative Performance Analysis of Deep Neural Network Architectures in Histological Image Classification.

Histological image classification plays a critical role in biomedical research and diagnostic processes. Advances in the field of deep learning presen...

Clinical decision framework for sublingual hematoma: literature-based retrospective analysis with machine learning.

Sublingual hematoma is a rare but life-threatening condition with heterogeneous etiologies that complicate emergency decision-making. This study compa...

Emerging and Re-Emerging Viral Infections in Poultry: Integrating Traditional and AI-Based Control Strategies.

Poultry production remains significantly challenged by emerging and re-emerging avian viral diseases, which are influenced by host-pathogen interactio...

Cross-Silo Federated Learning for Predicting Successful Mechanical Ventilation Weaning Across 5 Intensive Care Unit Databases: Retrospective Database Analysis.

BACKGROUND: The prediction of weaning from mechanical ventilation (MV) can support clinical decision-making and help reduce the risk of weaning failur...

Risk-aware artificial intelligence for translational vaccine design.

Artificial intelligence has accelerated epitope and antigen discovery, but prediction alone cannot determine vaccine readiness. Translational design r...

Bioresorbable and optically readable triboelectric implants enabled by nanoscale iridophosphors.

Implantable bioelectronics are typically inaccessible once implanted, and therefore structural damage, degradation and functional loss often go undete...

Exploring Senior Dental Students' Readiness and Perceptions of Artificial Intelligence in Dentistry: Insights From a Cross-Sectional Study.

BACKGROUND: Artificial intelligence (AI) is increasingly influencing dentistry; however, senior dental students' readiness to understand and use AI re...