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Background Artificial Intelligence (AI) is being designed, tested, and in many cases actively employed in almost every aspect of healthcare from primary care to public health. It is by now well established that any application of AI carries an attendant respon…
preprints
2025
置信度 0.74
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Importance Artificial intelligence (AI) foundation models such as Segment Anything Model 2 (SAM 2) offer potential for semi-automated image segmentation with minimal fine-tuning, but their performance in specialized clinical tasks like radiation therapy planni…
preprints
2025
置信度 0.74
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Abstract Background Exposure and response prevention (ERP) is the gold-standard psychological treatment for obsessive compulsive disorder (OCD). However, its delivery typically requires frequent therapist availability and repeated patient travel to treatment s…
preprints
2026
置信度 0.74
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Abstract Predictive metrics are widely used to evaluate artificial intelligence (AI)-based screening tools, yet their clinical reliability requires a more comprehensive assessment across multiple aspects, including robustness and calibration. Using diabetic re…
preprints
2026
置信度 0.74
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Abstract Background: African health care Systems are confronted by continuing infrastructure disparities or lack of capacity about the workforce and unequal access to care. To address these challenges, artificial intelligence (AI) and data governance framework…
preprints
2025
置信度 0.74
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Abstract Background : With the debut of OpenAI’s ChatGPT, there has been growing interest in the use of generative artificial intelligence (AI), including in healthcare. However, there is only limited research into doctors’ adoption of these tools and their op…
preprints
2024
置信度 0.74
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ABSTRACT Background Artificial intelligence (AI) has transformed medical education through optimized instruction, competency assessment, and personalized learning. Its integration into neurosurgical education, given the field’s complexity and precision demands…
preprints
2025
置信度 0.74
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Abstract Background: The rapid advancement of Generative Artificial Intelligence (GenAI) is reshaping the landscape of medical simulation education, necessitating the enhancement of faculty competencies to effectively integrate evolving knowledge systems with …
preprints
2025
置信度 0.74
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We have published on the accuracy of the Google Virtual Assistant, Alexa, Siri, Cortana, Gemini and Copilot. Emerging from this published work was a focus on the ac-curacy of AI that could be determined through validations. In our work published in 2023, the a…
preprints
2025
置信度 0.74
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Abstract Delirium is a prevalent, acute, and reversible neuropsychiatric syndrome in elderly populations, notable for its high incidence and mortality rates, both of which impose a substantial burden on patient outcomes and healthcare systems. Currently, the d…
preprints
2024
置信度 0.74
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Background: Artificial intelligence (AI) is emerging as one of the most revolutionary technologies shaping the educational system utilized by this generation of learners globally. AI enables opportunities for innovative learning experiences, while helping teac…
preprints
2024
置信度 0.74
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Abstract Background Early-life family poverty and social disadvantage status may affect body mass index (BMI) and body fat distribution in offspring across the life course. We assessed the associations of early-life poverty and social disadvantage with adiposi…
preprints
2026
置信度 0.74
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The revolution of physiotherapy is achieved by the application of artificial intelligence (AI) in medical rehabilitation programs. While the integration of virtual reality (VR) and robotics has already marked significant strides in the industry, AI is taking p…
preprints
2024
置信度 0.74
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In the recent generative artificial intelligence (genAI) era, health sciences students (HSSs) are expected to face challenges regarding their future roles in healthcare. This multinational cross-sectional study aimed to confirm the validity of the novel FAME s…
preprints
2024
置信度 0.74
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Background China’s healthcare system for children faces significant challenges, particularly due to the limited pediatric service capacity of primary healthcare institutions. A shortage of effective and accessible training tools for primary care doctors furthe…
preprints
2024
置信度 0.74
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Abstract Background The application of artificial intelligence (AI) in orthopedics is becoming increasingly widespread, particularly in the diagnosis and treatment of hip-related diseases. Although AI-assisted total hip arthroplasty (THA) techniques have reach…
preprints
2025
置信度 0.74
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Background The integration of artificial intelligence (AI) has revolutionized medical research, offering innovative solutions for data collection, patient engagement, and information dissemination. Powerful generative AI (GAI) tools like ChatGPT and other simi…
preprints
2024
置信度 0.74
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Introduction: Integrating generative AI into medical education addresses challenges in developing clinical cases for case-based learning (CBL), a method that enhances critical thinking and learner engagement through realistic scenarios. Traditional CBL is reso…
preprints
Farah Ennab, Hadeel Farhan, Nabil Zary
2025
置信度 0.74
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Background Timely and accurate detection of pericardial effusion and assessment cardiac tamponade remain challenging and highly operator dependent. Objectives Artificial intelligence has advanced many echocardiographic assessments, and we aimed to develop and …
preprints
2024
置信度 0.74
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Abstract Background and Purpose MicroRNAs (miRNAs) play multifaceted roles in cervical cancer therapy, including regulating cancer progression, metastasis, drug resistance, HPV control, and metabolic alterations. This study aims to provide a comprehensive bibl…
preprints
2025
置信度 0.74
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Abstract Background: Healthcare simulation is critical for medical education, with traditional methods using simulated patients (SPs). Recent advances in AI offer new possibilities with AI-based simulators. This study compares AI-based simulators and SPs in un…
preprints
2024
置信度 0.74
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Abstract Artificial Intelligence (AI) holds immense potential to transform healthcare, yet progress is often hindered by the reliance on large labeled datasets and unimodal data. Multimodal Foundation Models (FMs), particularly those leveraging Self-Supervised…
preprints
2025
置信度 0.74
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Artificial intelligence (AI), the wide spectrum of technologies aiming to give machines or computers the ability to perform human-like cognitive functions, began in the 40s with the first abstract models of intelligent machines. Soon later in the 50s and 60s m…
preprints
2024
置信度 0.74
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Abstract This scoping review aims to identify regulator-approved ophthalmic image analysis AIaMDs in three jurisdictions, examine their characteristics and regulatory approvals, and evaluate the available evidence underpinning them, as a step towards identifyi…
preprints
2025
置信度 0.74
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Abstract Purpose This study aimed to evaluate the effectiveness of integrating artificial intelligence (AI) with problem-based learning (PBL) and case-based learning (CBL) in a dermatology cosmetology course for clinical medical interns. Materials & Methods Th…
preprints
2024
置信度 0.74
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Abstract Background Sepsis, a life-threatening organ dysfunction resulting from a dysregulated host response to infection, remains a major global health challenge with high morbility and mortality. Current diagnostic and management frameworks still lack the sa…
europepmc
2025
置信度 0.80
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Abstract Background Aneurysmal Subarachnoid Hemorrhage (aSAH) remains a significant medical challenge. Controversies in managing aSAH, such as optimal blood pressure levels and antifibrinolytic therapy, persist despite advancements in treatment. The recently p…
preprints
2024
置信度 0.74
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Introduction There is growing research interest in applying Artificial Intelligence (AI) methods to medicine and healthcare. Analysis of communication in healthcare has become a target for AI research, particularly in the field of analysis of medical consultat…
preprints
2024
置信度 0.74
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Artificial intelligence AI is a sophisticated model or algorithm that has transformed a number of industries, including the medical field. In generative artificial intelligence, content is created using models or algorithms. Generative AI in healthcare reveale…
preprints
2024
置信度 0.74
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Abstract Background Artificial Intelligence-based chatbots have phenomenal popularity in various areas including spreading medical information. To assess the features of two different chatbots on providing space maintainer related information for pediatric pat…
preprints
2024
置信度 0.74
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Artificial Intelligence (AI) has recently had unprecedented contributions in every walk of life, but it has not been able to work its way into diagnostic medicine and standard clinical practice yet. Although data scientists, researchers, and medical experts ha…
preprints
2024
置信度 0.74
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Abstract Recent advancements in Artificial Intelligence (AI) have been driven by Large Language Models (LLMs), powerful tools capable of generating coherent text and solving diverse analytical tasks. While LLMs hold great potential to enhance healthcare by ass…
preprints
2025
置信度 0.74
-
Background During residency, each resident is observed and receives feedback based on their performance. Residency training is demanding, with some residents struggling with their academic performance. A competency-based residency training program’s success de…
preprints
2024
置信度 0.74
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ABSTRACT Background Structured recording of key information such as diagnoses is essential for safe, efficient patient care, but is currently done incompletely because it is time consuming for clinicians. We developed a natural language processing system calle…
preprints
2025
置信度 0.74
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Several medical graduates, avoid surgical specialties especially those with complex and delicate anatomy due to their doubt in their visual spatial abilities. Many patients are deemed inoperable, particularly in the field of pediatric cardiology, due to the co…
preprints
2024
置信度 0.74
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COVID-19, a respiratory illness that mostly attacks the human lungs emerged in 2019 and quickly became a global health crisis. Its fast transmission has necessitated the creation of effective tools that could aid in its classification. In this paper, we presen…
preprints
2024
置信度 0.74
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Abstract Background. Earlier detection of neurodegenerative diseases may help patients plan for their future, achieve a better quality of life, access clinical trials and possible future disease modifying treatments. Due to recent advances in artificial intell…
preprints
2024
置信度 0.74
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Abstract Research background: Traditional teaching methods often rely on teachers' explanations and limited teaching resources, whereas modern medical education increasingly emphasizes personalized learning. "Otorhinolaryngology-Head and Neck Surgery" covers a…
preprints
2025
置信度 0.74
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Key Results In five-fold cross-validation (1000 cases, six institutions), the model achieved mean Dice similarity coefficients of 0.939 for enhancing tumor, 0.937 for tumor core, and 0.921 for whole tumor, with tumor core volumes strongly correlated with refer…
preprints
2026
置信度 0.74
-
Machine learning has witnessed a notable increase in significance within the medical field, primarily due to the increasing availability of health-related data and the progressive enhancements in machine learning algorithms. It can be utilized to formulate pre…
preprints
2024
置信度 0.74
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Laboratory medicine plays a crucial role in clinical decision-making, yet result in-terpretation often remains challenging for patients. This study evaluates the effec-tiveness of AI-powered conversational systems in interpreting laboratory test results, utili…
preprints
2024
置信度 0.74
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Abstract Objective To identify sociodemographic, experiential and attitudinal determinants of public trust in artificial intelligence (AI) and software as a medical device (SaMD) in UK healthcare, focusing on trust in AI-assisted clinical decision-making under…
preprints
2026
置信度 0.74
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Abstract The gastropod shell collection at the Natural History Museum (NHM) in London houses a wealth of gastropod specimens from around the world. Many snail species are relevant to human health due to their role as hosts for medically important parasites. Th…
preprints
2026
置信度 0.74
-
Data-driven approaches are transforming healthcare, yet acquisition of comprehensive datasets is hindered by high costs, privacy regulations, and ethical concerns. To address these challenges, synthetic data, artificially generated datasets that mimic the stat…
preprints
2025
置信度 0.74
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Patient-level grouped data is prevalent in public health and medical fields, and Multiple Instance Learning (MIL) offers a framework to address the challenges associated with this type of data structure. This study compares four data aggregation methods design…
preprints
2024
置信度 0.74
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Abstract The importance of gastric cancer and the role of deep learning techniques in categorizing gastric cancer histopathology images have recently increased. Identifying the drawbacks of traditional deep learning models, including lack of interpretability, …
preprints
2024
置信度 0.74
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Abstract Background Diffuse midline gliomas (DMGs) are highly aggressive pediatric and young adults brain tumors with poor prognosis and limited treatment options. Accurate imaging assessment of tumor progression is critical for evaluating therapeutic response…
preprints
2026
置信度 0.74
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Abstract Artificial intelligence (AI) in the field of pathology and medical diagnostics has rapidly evolved, with applications focused on analyzing histopathological images. These images, obtained from biopsies or surgical procedures, are crucial for diagnosin…
preprints
2024
置信度 0.74
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Healthcare is undergoing a technological transformation, particularly in robotic surgery and arti-ficial intelligence (AI) applied to cytology. These innovations are improving the precision and effi-ciency of both surgical procedures and laboratory diagnostics…
preprints
2024
置信度 0.74
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Background The sensitivity of emergency medical communication centers (EMCC) for stroke detection varies widely. However, few studies offer detailed insights into the entirety of prehospital pathways in patients with stroke. Therefore, this study aimed to lay …
preprints
2024
置信度 0.74
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Abstract Depression has surged in Korea, with 933,481 patients in 2021, a 35.1% increase since 2017. Globally, 5% of adults suffer from depression, resulting in over 700,000 suicides annually. However, Korea has only 29.5 mental health workers per 100,000 peop…
preprints
2024
置信度 0.74
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Precise histologic pattern classification is essential for lung adenocarcinoma, as it is a primary cause of cancer-related death, to inform successful treatment approaches. The objective of this paper is to compare several deep neural network designs for the c…
preprints
2024
置信度 0.74
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Abstract The integration of artificial intelligence (AI) education into medical curricula is critical for preparing future healthcare professionals. This research employed the Delphi method to establish an expert-based AI curriculum for Canadian undergraduate …
preprints
2024
置信度 0.74
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A bstract The integration of Artificial Intelligence (AI) into medical education has emerged as a transformative element in the modern healthcare educational system. With the exponential growth of medical knowledge and the increasing complexity of healthcare s…
preprints
2024
置信度 0.74
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Abstract Background The misfunction of the protein 16SrRNA methyltransferase usually results in Urinary tract (UTI), and Gastrointestinal (GI) infections, sepsis, pneumonia, and also cause wound infections. It confers resistance to aminoglycoside medications, …
preprints
2024
置信度 0.74
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Despite the potential benefits of generative Artificial Intelligence (genAI), concerns about its psy-chological impact on medical students, especially with regard to job displacement, are apparent. This pilot study, conducted in Jordan during July–August 2024,…
preprints
Malik Sallam, Kholoud Al-Mahzoum, Yousef Mubrik N. Almutairi, Omar Alaqeel 等
2024
置信度 0.74
AnxietyPsychologyAffect (linguistics)Construct (python library)Clinical psychology
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Abstract Backgroud With the increasing importance of computational skills in healthcare, there is a growing need to equip medical students with programming knowledge to address complex healthcare challenges effectively. Traditional programming methods, however…
preprints
2025
置信度 0.74
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This paper discusses the application of artificial intelligence in imaging omics, especially in cancer research. Imaging omics enables detailed analysis of spatial and temporal heterogeneity of tumours through high-throughput extraction of quantitative feature…
preprints
2024
置信度 0.74
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Abstract Introduction : Achieving correct clinical or morphological diagnoses in countries with limited resources is a major challenge due to the lack of methods such as immunohistochemistry, molecular biology or imaging, as well as the lack of specialists. Ar…
preprints
2024
置信度 0.74
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The integration of Artificial Intelligence (AI) in healthcare has transformed clinical practices by improving the accuracy of diagnosis, optimizing surgical procedures, improving the patient experience, and accelerating drug development. This article provides …
preprints
2024
置信度 0.74
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ABSTRACT Background Non-invasive imaging modalities offer a great deal of clinically significant information that aid in the diagnosis of various medical conditions. Coupled with the never-before-seen capabilities of Artificial Intelligence (AI), uncharted ter…
preprints
2024
置信度 0.74
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Abstract Free-text clinical records represent an untapped wealth of data for secondary use. Their potential is limited by resource demands necessary for accurate information extraction at scale. We introduce a scalable, resource-efficient, and high-performance…
preprints
2026
置信度 0.74
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Summary Background Acute Hepatic Porphyria (AHP) is a rare genetic disease characterized by unpredictable life-threatening attacks. There is no reliable biochemical screening test for patients outside of an attack and diagnosis is delayed on average by 15 (!) …
preprints
2025
置信度 0.74
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Background: Artificial Intelligence (AI) technologies could potentially change many aspects of clinical practice. While Allergen Immunotherapy (AIT) can change the course of allergic diseases providing relief of symptoms that extend for many years after treatm…
preprints
2024
置信度 0.74
-
Detailed sonographic assessment of the fetal neuroanatomy plays a crucial role in prenatal diagnosis, providing valuable insights into timely well-coordinated fetal brain development and detecting even subtle anomalies that may impact neurodevelopmental outcom…
preprints
2024
置信度 0.74
-
The combination of medical imaging and deep learning has significantly improved diagnostic and prognostic capabilities in the healthcare domain. Nevertheless, the inherent complexity of deep learning models poses challenges in understanding their decision-maki…
preprints
2024
置信度 0.74
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Abstract The adoption of artificial intelligence in dermatology promises democratized access to healthcare, but model reliability depends on the quality and comprehensiveness of the data fueling these models. Despite rapid growth in publicly available dermatol…
preprints
2026
置信度 0.74
-
Artificial intelligence (AI) is transforming many healthcare fields including pediatric urology. This in-depth review explores recent advances in AI tools for pediatric urology, emphasizing how state-of-the-art technologies can be used to enhance patient treat…
preprints
2024
置信度 0.74
-
Artificial intelligence (AI) has significant potential to transform healthcare and improve patient care. However, successful development and integration of AI models requires careful consideration of study designs and sample size calculations for development a…
preprints
2024
置信度 0.74
-
The last wave of Artificial Intelligence is dedicating particular emphasis to the line of explainability research. The potential of Explainable Artificial Intelligence (XAI) in producing trustworthy computer-aided-diagnosis systems and its usage for knowledge …
preprints
2024
置信度 0.74
-
Abstract Background Decision-making in chronic diseases guided by clinical decision support systems that use models including multiple variables based on artificial intelligence requires scientific validation in different populations to optimize the use of lim…
preprints
2024
置信度 0.74
-
With the widespread application of artificial intelligence technology in various industries, users' attention to privacy and data security has increased significantly. Federated learning, as a new technology paradigm combining privacy-enhanced computing and ar…
preprints
2024
置信度 0.74
-
Background Retrieval-augmented generation (RAG) is an emerging artificial intelligence (AI) strategy that integrates encoded model knowledge with external data sources to enhance accuracy, transparency, and reliability. Unlike traditional large language models…
preprints
2025
置信度 0.74
-
Previous research links Adverse Childhood Experiences (ACEs) with problem gambling, but most studies rely on retrospective reporting and focus narrowly on maltreatment, overlooking adversities such as parental mental health issues. Using data on 3794 young adu…
preprints
2026
置信度 0.74
-
Functionalized optical microcavities constitute an emerging highly sensitive and highly selective sensing technology. By combining optical microcavities with novel materials, microcavity sensors offer exceptional precision, unlocking considerable potential for…
preprints
2024
置信度 0.74
-
ABSTRACT Background Ultrasound imaging plays a pivotal role in the diagnosis and monitoring of developmental dysplasia of the hip (DDH). However, this step requires a formal referral to the radiology department for an ultrasound by an expert radiologist or son…
preprints
2024
置信度 0.74
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Ultrasound imaging is a vital imaging tool in musculoskeletal medicine, with the number of publications on ultrasound-guided surgery increasing in recent years. However, ultrasound imaging has drawbacks, such as operator dependency and image obscurity. Artific…
preprints
2024
置信度 0.74
-
Objectives Template-based automatic item generation (AIG) is more efficient than traditional item writing but it still heavily relies on expert effort in model development. While non-template-based AIG, leveraging artificial intelligence (AI), offers efficienc…
preprints
2024
置信度 0.74
-
ABSTRACT Artificial Intelligence (AI), particularly large language models (LLMs), has demonstrated remarkable capabilities in addressing complex tasks, including professional-level medical question answering. While standardized benchmarks like the USMLE have b…
preprints
2024
置信度 0.74
-
Introduction Generalist large language models (LLMs) have shown diagnostic potential in various medical contexts. However, there has been little work on this topic in relation to epilepsy. This paper aims to test the performance of an LLM (OpenAI’s GPT-4) on t…
preprints
2024
置信度 0.74
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DeepSeek, a Chinese artificial intelligence company, released its first free chatbot app based on its DeepSeek-R1 model. DeepSeek provides its models, algorithms, and training details to ensure transparency and reproducibility. Their new model is trained with …
preprints
2025
置信度 0.74
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Abstract The global incidence of skin cancer continues to rise. Dermal therapists, licensed allied health professionals (AHPs), play an important role in risk screening; however, their accuracy in identifying suspicious skin lesions remains unevaluated. This s…
preprints
2026
置信度 0.74
-
Prosthodontics is a dental subspecialty that includes the preparation of dental prosthetics for missing or damaged teeth. It increasingly uses computer-assisted technologies for planning and preparing dental prosthetics. This study aims to present the findings…
openalex
Ibrahim Saleh Aljulayfi, Ali Almatrafi, Ramzi O. Althubaitiy, Fahad Alnafisah 等
2024-04-19
置信度 0.72
ProsthodonticsMedicineMedical physicsComputer scienceArtificial intelligence
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The current study investigates the robustness of deep learning models for accurate medical diagnosis systems with a specific focus on their ability to maintain performance in the presence of adversarial or noisy inputs. We examine factors that may influence mo…
openalex
Haseeb Javed, Shaker El–Sappagh, Tamer Abuhmed
2024-11-07
置信度 0.72
Adversarial systemComputer scienceRobustness (evolution)Artificial intelligenceDeep learning
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ABSTRACT: Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial…
openalex
Wei Li, Rui Hu, Quan Zhang, Zhangsheng Yu 等
2025-07-09
置信度 0.72
Prostate cancerCancerProstateMedicineArtificial intelligence
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PURPOSE OF REVIEW: Though simple in its fundamental mechanism - a critical disruption of local blood supply - stroke is complicated by the intricate nature of the neural substrate, the neurovascular architecture, and their complex interactions in generating it…
openalex
Jane Maryam Rondina, Parashkev Nachev
2024-11-14
置信度 0.72
Stroke (engine)NeuroimagingNeuroscienceMedicinePsychology
-
Early diagnosis of oral lichen planus (OLP) is challenging, which traditionally is dependent on clinical experience and subjective interpretation. Artificial intelligence (AI) technology has been widely applied in objective and rapid diagnoses. In this study, …
openalex
Sensen Yu, Wansu Sun, DaWei Mi, Siyu Jin 等
2024-11-18
置信度 0.72
Oral lichen planusArtificial intelligenceMedical diagnosisComputer scienceOral medicine
-
Subdural hematoma is defined as blood collection in the subdural space between the dura mater and arachnoid. Subdural hematoma is a condition that neurosurgeons frequently encounter and has acute, subacute and chronic forms. The incidence in adults is reported…
openalex
Şanser Gül, İsmail Erdemir, Volkan Hancı, Evren Aydoğmuş 等
2024-05-03
置信度 0.72
PerplexityReadabilityMedicineQuality ScoreHematoma
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Artificial intelligence (AI) in health care has the promise of providing accurate and efficient results. However, AI can also be a black box, where the logic behind its results is nonrational. There are concerns if these questionable results are used in patien…
openalex
Tina Nguyen
2023-12-11
置信度 0.72
AutomationMindsetCurriculumMedical educationDuty
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Explainable Artificial Intelligence (XAI) is proposed as essential for high-risk applications like healthcare, where it aims to enhance user trust. However, studies often rely on automated metrics rather than user evaluation. We adapt a prototype-based XAI mod…
openalex
Angus Nicolson, Elizabeth Bradburn, Yarin Gal, Aris T. Papageorghiou 等
2025-11-14
置信度 0.72
CounterintuitiveComputer scienceArtificial intelligenceEstimationMeasure (data warehouse)
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Abstract Shipping constitutes an international endeavor that undoubtedly encapsulates one of the most crucial industries of our time. Owing to shipping, societies can enjoy a variety of goods, effectively transported from one place to another throughout the wo…
openalex
Periklis Prousaloglou, Maria-Christina Kyriakopoulou-Roussou, Peter J. Stavroulakis, Vangelis Tsioumas 等
2025-04-24
置信度 0.72
Service (business)BusinessOperations researchEngineeringMarketing
-
openalex
Xin Qin, Jackson G. Lu, Chen Chen, Xiang Zhou 等
2024-01-01
置信度 0.72
QuotientPsychologyComputer scienceMathematicsPure mathematics
-
Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are a great advantage that is coming to civil engineering in ways that detail accuracy can be enhanced, many tasks automated, and predictive modeling improved. Across some of the signi…
openalex
Rituraj Jain, Sitesh Kumar Singh, Damodharan Palaniappan, Kumar J. Parmar 等
2025-01-20
置信度 0.72
Artificial intelligenceDeep learningComputer scienceMachine learning
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Background: The growth of the use of artificial intelligence (AI) and robotic solutions in healthcare is accompanied by high expectations for improved efficiency and quality of services. However, the use of such technologies can be a source of anxiety for pati…
openalex
Paulina Smoła, Iwona Młoźniak, Monika Wojcieszko, Urszula Zwierczyk 等
2025-01-27
置信度 0.72
Health careWorkloadPsychologyPopulationQualitative research
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With the enormous progress in the field of cardiovascular imaging in recent years, computed tomography (CT) has become readily available to phenotype atherosclerotic coronary artery disease. New analytical methods using artificial intelligence (AI) enable the …
openalex
Laura Valentina Klüner, Kenneth Chan, Charalambos Antoniades
2024-05-19
置信度 0.72
Computed tomographyCurrent (fluid)State (computer science)MedicineRadiology
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Artificial intelligence (AI) has emerged as a promising avenue for enhancing medical imaging systems and improving clinical workflows. This research explores innovative applications of AI and deep learning for image communication networks in healthcare. Specif…
openalex
Suman Narne Suresh Dodda
2024-04-04
置信度 0.72
Medical imagingComputer scienceArtificial intelligence
-
Neurological voice disorders, such as Parkinson's disease, laryngeal dystonia, and stroke-induced dysarthria, significantly impact speech production and communication. Traditional diagnostic methods rely on subjective assessment, whereas artificial intelligenc…
openalex
Dongren Yao, Aki Koivu, Kristina Simonyan
2025-04-22
置信度 0.72
Computer sciencePsychology
-
BACKGROUND: Females are typically underserved in cardiovascular medicine. The use of sex as a dichotomous variable for risk stratification fails to capture the heterogeneity of risk within each sex. We aimed to develop an artificial intelligence-enhanced elect…
openalex
Arunashis Sau, Ewa Sieliwończyk, Konstantinos Patlatzoglou, Libor Pastika 等
2025-02-25
置信度 0.72
Retrospective cohort studyElectrocardiographyIdentification (biology)CohortMedicine
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This research aims to conduct a comparative analysis of Vision Transformer (ViT) and Convolutional Neural Network (CNN) models for detecting four prevalent diseases: eye diseases, lung diseases, skin diseases, and heart diseases. The primary goal is to identif…
crossref
Saqlain Kalokhe, Fahad Khan, Salim Shaikh, Nusrat Jahan
2025-01-20T18:41:43Z
置信度 0.70
-
crossref
Shi Hao Tan, Joon Huang Chuah, Chee-Onn Chow, Jeevan Kanesan 等
2023-12-03T21:27:18Z
置信度 0.70