Latest AI and machine learning research in practice management for healthcare professionals.
BACKGROUND: Generative artificial intelligence (AI) chatbots have rapidly entered public use, including in contexts involving emotional support and mental health-related interactions. Although these systems are increasingly accessible, concerns have emerged regarding potential adverse psychiatric outcomes reported in public discourse, including psychosis, suicidal ideation, self-harm, and suicide....
BACKGROUND: Generative artificial intelligence (AI) tools, such as ChatGPT, are increasingly used in higher education and have raised significant concerns about assessment validity and academic integrity. In Digital Health and Health Information Management (DIGHIM) programs, assessments are designed to evaluate a mix of technical skills, contextual reasoning, and professional judgment that underpi...
Although cancer immunotherapy has revolutionized oncology, its clinical efficacy remains substantially limited by both primary and acquired resistance...
Scoliosis is the most common developmental spinal deformity, but its genetic underpinnings remain only partially understood. To identify scoliosis-rel...
Qualitative data poses a challenge for prevention science and public health, as it is critical to explain the context of communities, health, and beha...
BACKGROUND: Youth e-cigarette use rose sharply between 2013 and 2024 in the United States, prompting widespread prevention campaigns at national, stat...
PROBLEM: Graduate medical education requires learners to acquire broad clinical exposures to meet core competencies for unsupervised practice, but var...
OBJECTIVE: To investigate the genetic architecture of low-frequency and rare variants of serum urate (SU) in East Asian populations, aiming to clarify...
BACKGROUND: Postpartum depression (PPD) remains vastly underdiagnosed, and its clinical heterogeneity is not well understood. Diagnosis codes in elect...
Background The International Classification of Diseases, 10th Revision (ICD-10), is widely used for clinical care, quality assurance, and stroke resea...
Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, primarily due to its low immunogenicity and immunosuppre...
Recent studies have revealed that some noncoding RNAs (ncRNAs) bear translational potential, and their encoded micropeptides have essential functions ...
This paper proposes a novel training methodology for sparse convolutional deep predictive coding networks with attention (DPCN-SCA). In the same spiri...
In-hospital mortality among patients with chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) is ∼6%, yet no validated, transparent beds...
Hepatic fibrosis is a dynamic and progressive condition that can lead to cirrhosis and hepatocellular carcinoma (HCC) if left untreated. Appropriate a...
BackgroundAlzheimer's disease (AD) patients frequently present to emergency departments (EDs) with complex comorbidities that complicate triage and ma...
Successful development, regulatory review, and clinical implementation of artificial intelligence (AI) systems in medicine require clear, unambiguous ...
Understanding how structured sequence information can be represented and generalized in neural systems is key to modeling the transition from acoustic...
STUDY OBJECTIVES: Manual sleep staging in pediatric populations is challenging due to developmental variability and limited scoring consistency, espec...
OBJECTIVE: To examine how continually updated, living evidence and gap maps (L-EGMs) with an online presence report planned update schedules, retireme...