Health Policy

Advancing cell and gene therapy: Application of AI/ML in clinical development and patient management.

This article explores the transformative potential of artificial intelligence (AI) and machine learning (ML) in advancing cell and gene therapy (CGT) development, with an emphasis on chimeric antigen receptor (CAR) T-cell therapy. We examine how AI/ML advanced analytics can enhance CGT clinical development by optimizing patient selection with robust eligibility criteria, facilitating clinical tria...

AI-Powered Documentation for Mental Health Providers: Retrospective Observational Mixed Methods Study.

BACKGROUND: Mental health providers (MHPs) face a significant administrative burden from documentation, which can contribute to burnout and reduce time available for direct patient care. Although artificial intelligence (AI)-powered scribes have shown promise in general medical settings, their utility has not been well explored in the specific context of mental health care. This study describes th...

NeuroMix-DL: Improving imaging quality of a fast multiparametric MRI protocol using deep learning.

PURPOSE: To improve the quality of a fast multi-contrast MR protocol acquisition using deep learning. MATERIALS AND METHODS: 350 patients (age: 64 ± 1...

Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study.

BACKGROUND: Genomic assays such as Oncotype DX have transformed adjuvant treatment selection for hormone receptor-positive, HER2-negative, early breas...

Food waste management in Malaysian private healthcare: A systematic review.

This systematic review examines food waste management in Malaysian private healthcare, investigating the complex intersection of operational inefficie...

Hybrid seed production: new paradigms and challenges in the twenty-first century.

Hybrid seed technology future depends on integrating advanced genomics, AI-driven breeding, and enabling policies to sustainably delivery climate-resi...

AI-Enhanced Conversational Agents for Personalized Asthma Support in People With Asthma: Factors for Engagement, Value, and Efficacy in a Cross-Sectional Survey Study.

BACKGROUND: Asthma-related deaths in the United Kingdom are the highest in Europe, and only 30% of patients access basic care. There is a need for alt...

Imaging in the fast lane: Challenges and opportunities for expanding access to MRI.

MRI technology has continuously advanced since its inception in the 1980s, yet access to MRI remains restricted due to its high cost and traditionally...

Neither this nor that but our own: AI as a 'third space' for Eritrean female genital mutilation survivors in the UK.

Eritrean women face a difficult tension between the cultural context in which they experienced female genital mutilation (FGM) in their country of ori...

Plan A blocks in regional anaesthesia: a narrative review.

INTRODUCTION: The Plan A blocks framework was proposed in 2019 with the aim of promoting a small number of versatile, high-value regional anaesthetic ...

AI-Based Screening for At-Risk MASLD and Advanced Fibrosis in the US Population: A Cost-Effectiveness Analysis.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is highly prevalent and often underdiagnosed until advanced fibrosis, lea...

Deep learning-based HTTP TRACE flood detection in wireless sensor network using deep spectral multi-layer convolutional neural network.

Wireless Sensor Networks (WSN) are widely used across various fields. WSN is composed of many low-cost, high-performance, plug-and-play sensor nodes. ...

Machine Learning Models for Individualized Osteoradionecrosis Risk Prediction in Head and Neck Cancer.

To develop and validate predictive models for osteoradionecrosis (ORN) after head and neck radiation therapy (RT) using time-to-event data with death ...

Telepathology and Mobile Health System for Province-Wide Pathology Consultation in Henan, China: Retrospective Evaluation Study.

BACKGROUND: Telepathology has emerged as a transformative digital health solution to address the global shortage of pathologists and the unequal distr...

Harnessing artificial intelligence for automatic feedback in a virtual anatomy study tool: A Q-methodology study.

Objective structured practical examinations (OSPEs) are standard methods of evaluation in anatomy education. Despite their widespread use, student pre...

Integrative assessment of gamete and embryo quality in porcine in vitro production: A comprehensive review.

Despite significant progress in porcine in vitro embryo production (IVP), major challenges persist, particularly regarding the biological quality and ...

Navigating the complexity of AI adoption in psychotherapy by identifying key facilitators and barriers.

Artificial intelligence (AI) technologies in mental healthcare offer promising opportunities to reduce therapists' burden and enhance healthcare deliv...

An integrated water quality assessment and its prediction utilizing the CWQI, CRITIC based-improved CWQI, sensitivity analysis, multivariate techniques, machine learning algorithms and GIS approaches to determine pollution intensities in the river basin (Odisha).

The Mahanadi River is a vital water resource for the Odisha region, supporting both local agriculture and drinking water needs. However, increasing hu...

Enhancing trustworthiness of Arabic online health information quality evaluation using an enhanced BERT architecture with PCA and ICA feature weighting.

Despite the exponential increase in the availability of online health information, its quality remains questionable, presenting a significant challeng...

Hybridizing deep learning algorithms and geostatistical approaches for improved crop yield disaggregation.

Reliable crop yield estimates at fine spatial resolution are essential for precision agriculture, food security planning, and insurance schemes. Howev...