Health Services Accessibility

This study builds AI models that score diagnostic screening tests, and that predict screening results, clinical judgment, and life expectancy. Longevity Metrics collects a battery of clinical tests on each participant, in whole or in part, and follows every participant for life. The sit-to-rise test and the timed walk are scored by hand today, from a person's count. A model scores the same test from video instead. It also measures what no one can count by eye - speed, asymmetry, steadiness - so one capture yields both the original score and additional measurements, intended to enrich the model and strengthen what it predicts. Every test in a participant's record measures the same body, so the tests are correlated: a test that was performed carries information about one that was not. A model trained across the library learns those relationships and estimates a missing result from the results that are present. Each estimate is checked against records where that part was actually measured, and over decades against death and disease through linkage to the 100-Year Human Aging Study (NCT07563777). The hypothesis is that the full battery can eventually be predicted across modalities with high accuracy using a few short video clips, replacing most in-person screening. That would let preventive screening reach people and places a physical laboratory cannot. How far the input can be reduced is the question this study exists to answer. Every model is a physician-reviewed clinical decision aid until it is cleared by the FDA.

The Health Ahead Comparative Effectiveness Study is a pragmatic, parallel-arm interventional platform that systematically compares successive changes to preventive health screening on the path toward a fully automated screening system deployable in any environment, including the most isolated and resource-limited communities. Each change is isolated as a single variable against current practice, and every comparison is evaluated with a common set of engagement, behavior-change, experience, cost, and longitudinal outcome measures, so results accumulate on a consistent yardstick across the life of the platform. The first comparison evaluates AI-assisted versus human-only interpretation ("reads") of screening data. Subsequent pre-planned comparisons, added by protocol amendment, evaluate static versus interactive personalized report delivery; mobile community versus fixed laboratory screening; and a hybrid medical-droid-plus-human delivery model versus human-only screening.

The treatment of pulpal diseases in primary teeth represents a significant challenge in public health, particularly in emergency dental care settings, where factors such as limited clinical time, low child cooperation, and structural constraints directly impact treatment effectiveness. In these contexts, conventional pulpectomy using zinc oxide-eugenol (ZOE), although effective, may present operational limitations that restrict its large-scale applicability in public health systems. In this scenario, non-instrumental endodontic treatment (NIET), based on the concept of Lesion Sterilization and Tissue Repair (LSTR), has emerged as a simplified alternative. Among the available options, CTZ paste shows potential for single-visit application, reducing clinical time and technical complexity. This study aims to evaluate the clinical and radiographic non-inferiority of CTZ paste compared to conventional pulpectomy with ZOE in primary molars with pulp necrosis, with or without abscess or fistula, treated in emergency dental care settings. This is a randomized, pragmatic, controlled, non-inferiority clinical trial conducted at a single center, with clinical and radiographic follow-up at 3, 6, and 12 months. Participants will be allocated into two groups: (1) NIET with CTZ paste and (2) conventional pulpectomy with ZOE. Primary outcomes include pain resolution and absence of clinical signs of infection. Secondary outcomes include radiographic success, clinical time, child behavior (Frankl Scale), need for retreatment, and oral health-related quality of life. The findings are expected to provide robust evidence regarding the effectiveness of CTZ paste under real-world clinical conditions, contributing to the development of more accessible and effective protocols within public health systems, with the potential to expand access to conservative treatment and reduce early tooth extractions in pediatric dentistry.

This study looks at where cancer patients treated at Delafontaine Hospital live and how far they have to travel for care. By mapping patients' home addresses (anonymized), the research will show how distance, transportation, and social factors affect access to cancer treatments and support services. The goal is to better understand inequalities in access to care and to improve patient support in the future.

This study aims to find out how many patients sent to the emergency department by their general practitioner could instead be treated in a walk-in clinic. Walk-in clinics provide quick, basic medical care without an appointment and can perform simple tests like blood work and X-rays. By identifying patients who don't need full hospital emergency care, this study hopes to improve patient flow and reduce overcrowding in emergency rooms in the Île-de-France region.

This study looks at the sexual health of women from Sub-Saharan Africa who recently found out they have HIV after arriving in Île-de-France. It aims to understand their risk factors and identify missed chances for HIV testing and prevention. The goal is to improve care and support for these women by learning more about their experiences and the challenges they face.

The purpose of this qualitative study is to find out which technological translation tools can be used to improve Dutch-speaking care in all Brussels out-of-hours primary care services.

To improve chronically ill patients' health and quality of life, long-standing and continuous treatment is needed at an acceptable cost. The purpose of this study was to compare utilization of digital versus face-to-face delivered osteoarthritis (OA) treatment in the 21 different county councils of Sweden that are responsible for providing healthcare to the residents.