FDA General

Artificial intelligence in retinal care: transforming the doctor-patient partnership.

BACKGROUND: The integration of artificial intelligence into retinal practice represents more than a technological advancement; it constitutes an anthropological shift fundamentally redefining the centuries-old therapeutic partnership between physician and patient. OBJECTIVE: To examine how artificial intelligence integration into retinal care transforms the therapeutic partnership, revealing what ...

Developing policy and regulation for the safer use of artificial intelligence technologies for mental health in Australia.

Artificial intelligence is emerging as a powerful tool for improving mental health research and care, offering opportunities for early intervention, personalised treatment, ongoing monitoring and enhanced capacity for the mental health workforce. In Australia, however, the integration of artificial intelligence into mental health systems is hindered by substantial knowledge, policy and regulatory ...

Integration of protein and metabolomic blood biomarkers enhances classification of radiation exposure in X-irradiated humanized mice.

PURPOSE: The general population is at risk of exposure to ionizing radiation due to nuclear warfare, terrorism, or radiological accidents. Such exposu...

Large Language Models as Physician Recommenders: Limitations, Alternatives, and the Path Toward Hybrid AI Systems.

Digital tools are increasingly used by patients to access health information and navigate care, including choosing clinicians, but the evidence suppor...

Investigating Phase Separation in Genome Folding via Multiscale Computational Modeling.

The 3D organization of the genome is central to gene regulation, and phase separation has emerged as an important physical principle for this architec...

Artificial Intelligence for Colorectal Surgeons - Part I: Foundations, Clinical and Educational Applications.

BACKGROUND: Artificial intelligence (AI) is rapidly transforming colorectal surgery through applications spanning screening to postoperative care. Thi...

Optimized Lightweight U-Net and YOLACT framework for multi-disease severity detection in pome fruit leaves.

The growing global demand for food production, coupled with the increasing threat of plant diseases, necessitates advanced and automated solutions for...

Screening for Alzheimer's disease in the community using an AI-driven screening platform: design of the PREDICTOM study.

BACKGROUND: Recent developments in physiological, imaging and digital biomarkers combined with the approval of new disease-modifying drugs against Alz...

CT Radiomic Features Are Associated with DNA Copy Number Alterations of Head and Neck Squamous Cell Carcinomas.

BACKGROUND AND PURPOSE: While a larger fraction of head and neck squamous cell carcinoma (HNSCC) genomes is characterized by a high prevalence of copy...

How does the implementation of AI-based automation of administrative tasks affect healthcare professionals' work? Study protocol for a longitudinal embedded case study in Swedish primary and specialist care.

INTRODUCTION: Artificial intelligence (AI) is transforming healthcare through enhanced computational capabilities that process vast amounts of data wi...

Capacity building for ethical use of artificial intelligence in health: protocol for a scoping review of training initiatives and gaps in Africa.

INTRODUCTION: Artificial intelligence (AI) is increasingly embedded in health systems, with applications spanning diagnostic imaging, clinical decisio...

Explainable deep learning framework for fecal contamination detection on chicken eggshells via portable fluorescence imaging under ambient light.

This study evaluated the efficacy of optimized deep learning architectures using a portable fluorescence imaging device specifically for the in-situ d...

Machine learning-directed massively parallel programmable nucleic acid amplification.

Dynamic regulation of amplification efficiency is pivotal yet challenging in molecular diagnostics and DNA data storage. Here, we develop a thermodyna...

[Application of multi-parametric vital sign monitoring systems in the integrated management of the perioperative stage of gastric cancer].

The perioperative management of gastric cancer is a crucial factor influencing patient prognosis. The traditional model has limitations such as fragme...

Decoding the Heart Failure Peptidome.

BACKGROUND: Peptides such as angiotensin II and brain natriuretic peptide are pivotal in diagnosing and treating heart failure (HF). However, unbiased...

Differential Factors Associated With the Presence of Persistent Symptoms in Individuals Diagnosed With Long COVID: Protocol for a Longitudinal Matched Case-Control Study.

BACKGROUND: Long COVID (postacute sequelae of SARS-CoV-2 infection) is a heterogeneous condition with persistent multisystem symptoms and substantial ...

Unraveling the stability of fish collagen: A review of assembly mechanisms, decisive factors, and regulatory strategies from natural tissues to in vitro gels.

Fish collagen, mainly derived from by-products of fish processing, such as skin, bones, and swim bladders, possesses significant economic value. Howev...

TCR recognition of peptide-HLA class II complexes in autoimmunity: Structural insights for therapeutic targeting.

Autoimmune diseases encompass a broad spectrum of disorders in which self-reactive T and B cells breach immune tolerance and drive chronic tissue infl...

Systems-level regulation principles for microbial lignin valorization.

Lignin, the most abundant renewable source of aromatic carbon, holds strong potential for sustainable biomanufacturing. However, the complexity of lig...

Bridging the gap: aligning clinical decision support regulation with clinical practice in the era of artificial intelligence.

Clinical decision support (CDS) software plays an increasingly central role in health-care delivery, yet the ambiguous interpretations of regulations ...