Medicaid

A clinical-AI correlation for integrating artificial intelligence into stroke care: a systematized literature review and practice framework.

BACKGROUND AND PURPOSE: The rapid integration of artificial intelligence (AI) into stroke care has outpaced many clinicians' ability to critically evaluate and safely implement these tools. We conducted a systematized literature review and developed a practical framework to guide neurologists in the responsible integration of AI into stroke practice. METHODS: We performed a systematized review of ...

Evaluating an Artificial Intelligence software for opportunistic low bone mineral density and osteoporosis screening: a validation study.

Despite the profound prevalence and fracture risk of osteoporosis, access to the gold standard DXA scans remains limited, especially in rural communities. Rho is an artificial intelligence software that can identify individuals at risk of low BMD and osteoporosis using radiographs. This study will independently validate Rho software by evaluating its performance against DXA in a retrospective coho...

Artificial Intelligence (AI)-based tools in the diagnosis and management of prostate cancer: a systematic review and meta-analysis.

BACKGROUND: Recent advancements in artificial intelligence (AI) hold great promise in oncology, including prostate cancer care. Despite its promises, ...

LAT-BirdDrone: A dedicated dataset for high-precision classification of low-altitude small target trajectories enhanced by hybrid neural networks.

Currently, most existing datasets predominantly focus on object classification based on appearance, while datasets specifically designed for trajector...

Rewriting the Note with Technology: The Evolution and Future of Clinical Documentation.

This article traces the historical evolution and current complexities of clinical documentation, emphasizing its transformation under regulatory, fina...

Assessment of Artificial Intelligence (AI)-Powered Self-Care Recommendations for Management of Minor Ailments: A Comparative Analysis.

INTRODUCTION: Self-care and self-medication are increasingly viewed as helpful approaches to managing minor ailments; however, patients are often not ...

The appropriateness of primary care physician referrals for lumbar spine magnetic resonance imaging (MRI): retrospective cross-sectional study.

AIM: Low back pain (LBP) affects a significant proportion of the population. There has been an increase in referrals for magnetic resonance imaging (M...

Impact of Generative AI-Enhanced Low-Dose Cone-Beam Computed Tomography on Diagnosis and Treatment Planning for Impacted Mandibular Third Molars.

OBJECTIVES: To evaluate whether generative artificial intelligence (Gen-AI) could significantly enhance the visibility of the mandibular canal (MC) an...

Multi-scale spatial diffusion under frequency information-guidance For low-light image enhancement.

Denoising Diffusion Probabilistic Models (DDPMs) have recently been employed for low-light image enhancement (LLIE), formulated as a low-light image c...

AI-based portable liquid phase leukocyte detection system.

BACKGROUND: White blood cells (WBCs) are vital components of the immune system, and accurate detection and classification are essential for diagnosing...

AI in critical care: A roadmap to the future.

Artificial intelligence (AI) has the potential to revolutionize critical care medicine by enhancing patient care, improving resource allocation and re...

An AI-Based Solution for Denoising Fast-Acquisition [18F]FDG PET: Clinical Feasibility and Quantitative Assessment.

Benefits in patient comfort, efficiency, and sustainability can come from reducing positron emission tomography (PET) scan's acquisition duration. Thi...

Assessment of Multimodal Natural Language Processing in Ascertaining Perioperative Safety Indicators From Preoperative Notes in Spine Surgery.

INTRODUCTION: Standard spine surgery machine learning (ML) models often rely on structured clinical data, overlooking nuanced free text, such as preop...

The Impact of Machine Learning Mortality Risk Prediction on Clinician Prognostic Accuracy and Decision Support: A Randomized Vignette Study.

BackgroundMachine learning (ML) algorithms may improve the prognosis for serious illnesses such as cancer, identifying patients who may benefit from e...

Research on the impact of artificial intelligence development on urban low-carbon transformation.

Scientific analysis of the impact of artificial intelligence (AI) development on urban low-carbon transformation has substantial practical implication...

Clinical characteristics and predictive models of HER2-low breast cancer patients who only received adjuvant chemotherapy: a real-world retrospective multicenter study.

HER2-low positivity is reported to play substantial role in neoadjuvant chemotherapy for breast cancer, but its role in adjuvant chemotherapy remains ...

Low birth weight among neonates: Investigating incidence, risk factors, and AI-enabled predictive modeling for risk estimation.

BackgroundLow birth weight serves as a vital measure of maternal health and the efficacy of prenatal care globally. The study was aimed to assess the ...

Traumatic brain injury management in the intensive care unit: standard of care and knowledge gaps.

Despite advances in the management of traumatic brain injury (TBI) in the intensive care unit (ICU), and the implementation of new diagnostic techniqu...

Optimizing Treatment for Depression in Primary Care Using Psychotherapy Versus Antidepressant Medication in a Low-Resource Setting: Protocol for the OptimizeD Randomized Controlled Trial.

Psychotherapy and antidepressant medications are first-line treatments for depression, and they both have significant treatment effects on average. H...

Development and validation of a machine learning risk prediction model for asthma attacks in adults in primary care.

Primary care consultations provide an opportunity for patients and clinicians to assess asthma attack risk. Using a data-driven risk prediction tool w...