AIMC Topic: Research Design
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StUdy of Gestational diabetes And Risk using Electronic Data (SUGARED): a population-based cohort study-study protocol.
BMJ open
Dec 26, 2024
INTRODUCTION: The incidence of gestational diabetes mellitus (GDM) in Australia has tripled in the last 20 years. Consequently, over 40 000 pregnancies are now diagnosed as 'higher risk' each year. This has increased antenatal surveillance and obstet...
Routinely Collected Health Data
Predictive Learning Models
Information Storage and Retrieval
Propensity Score
Delivery, Obstetric
Multilevel Analysis
New South Wales
Hospitals, Public
Observational Studies as Topic
Diabetes, Gestational
Glucose Tolerance Test
Incidence
Pregnancy Outcome
Logistic Models
Humans
Pregnancy
Research Design
Female
Retrospective Studies
Risk Assessment
AI-assisted detection for chest X-rays (AID-CXR): a multi-reader multi-case study protocol.
BMJ open
Dec 20, 2024
INTRODUCTION: A chest X-ray (CXR) is the most common imaging investigation performed worldwide. Advances in machine learning and computer vision technologies have led to the development of several artificial intelligence (AI) tools to detect abnormal...
Employing artificial intelligence for optimising antibiotic dosages in sepsis on intensive care unit: a study protocol for a prospective observational study (KI.SEP).
BMJ open
Dec 12, 2024
INTRODUCTION: In sepsis treatment, achieving and maintaining effective antibiotic therapy is crucial. However, optimal antibiotic dosing faces challenges due to significant variability among patients with sepsis. Therapeutic drug monitoring (TDM), th...
QUAIDE - Quality assessment of AI preclinical studies in diagnostic endoscopy.
Gut
Dec 10, 2024
Artificial intelligence (AI) holds significant potential for enhancing quality of gastrointestinal (GI) endoscopy, but the adoption of AI in clinical practice is hampered by the lack of rigorous standardisation and development methodology ensuring ge...
Flexibility and resilience in equity-centered research: lessons learned conducting a randomized controlled trial of a family-based substance use prevention program for American Indian families.
Frontiers in public health
Dec 9, 2024
Meaningful and effective community engagement lies at the core of equity-centered research, which is a powerful tool for addressing health disparities in American Indian (AI) communities. It is essential for centering Indigenous wisdom as a source of...
Artificial intelligence (AI) for paediatric fracture detection: a multireader multicase (MRMC) study protocol.
BMJ open
Dec 7, 2024
INTRODUCTION: Paediatric fractures are common but can be easily missed on radiography leading to potentially serious implications including long-term pain, disability and missed opportunities for safeguarding in cases of inflicted injury. Artificial ...
Artificial intelligence applied in human health technology assessment: a scoping review protocol.
JBI evidence synthesis
Dec 1, 2024
OBJECTIVE: This scoping review aims to map studies that applied artificial intelligence (AI) tools to perform health technology assessment tasks in human health care. The review also aims to understand specific processes in which the AI tools were ap...
Integrating large language models in systematic reviews: a framework and case study using ROBINS-I for risk of bias assessment.
BMJ evidence-based medicine
Nov 22, 2024
Large language models (LLMs) may facilitate and expedite systematic reviews, although the approach to integrate LLMs in the review process is unclear. This study evaluates GPT-4 agreement with human reviewers in assessing the risk of bias using the R...
Pilot study protocol evaluating the impact of telerobotics interactions with autistic children during a Denver intervention on communication skills using single-case experimental design.
BMJ open
Nov 12, 2024
INTRODUCTION: For several years, studies have been conducted on the contribution of social robots as an intervention tool for children with autism spectrum disorder (ASD). One of the early intervention models recommended by the French National Author...
Optimising the production of PLGA nanoparticles by combining design of experiment and machine learning.
International journal of pharmaceutics
Nov 2, 2024
Poly(lactic-co-glycolic acid) (PLGA) is a widely used biodegradable polymer in drug delivery and nanoparticle (NP) formulation due to its controlled drug release properties and safety profiles. Among the methods available for NP production, nanopreci...
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