-
Pharmacogenomics serves as the main turning point which transforms empirical methods of oncology into personalized treatment methods based on scientific knowledge. The metabolic pathways and treatment responses of individual patients plus their drug side effec…
datacite
Pedde Vaishnavi D.*, Katre Roshani L., Dr. Giri Ashok B.
2026
置信度 0.66
-
Scoping review protocol examining how artificial intelligence is used in medical imaging to support radiologists’ decision-making, with a focus on imaging tasks, workflow roles, and real-world implementation.
datacite
Wang, Changxu
2026
置信度 0.66
Medicine and Health Sciencesartificial intelligenceclinical decision supportmedical imaging
-
This project contains the protocol for a scoping review examining the application of deep learning techniques in medical imaging for liver cancer diagnosis. The review will map existing literature on AI-based diagnostic models, predictive analytics, synthetic …
datacite
Pushp Goel
2026
置信度 0.66
Physical Sciences and MathematicsMedicine and Health SciencesComputer SciencesArtificial Intelligence and RoboticsAI in healthcare
-
Introduction. Pharmaceutical cosmetology is an interdisciplinary field at the junction of pharmacy, dermatology, and aesthetic medicine. The active development of cosmeceuticals is associated with the growing demand for products that combine a cosmetic effect …
datacite
Shapovalova, Viktoriia, Osyntseva, Alina, Shapovalov, Valentyn
2026
置信度 0.66
medical technologiespharmaceutical cosmetologyCosmeceuticalscosmeceuticalscosmeceutical active ingredients
-
Introduction. Pharmaceutical cosmetology is an interdisciplinary field at the junction of pharmacy, dermatology, and aesthetic medicine. The active development of cosmeceuticals is associated with the growing demand for products that combine a cosmetic effect …
datacite
Shapovalova, Viktoriia, Osyntseva, Alina, Shapovalov, Valentyn
2026
置信度 0.66
medical technologiespharmaceutical cosmetologyCosmeceuticalscosmeceuticalscosmeceutical active ingredients
-
With the advancement in Artificial Intelligence in recent years, the application of deep learning techniques within the medical domain has become an increasingly researched area. Among these applications, the intervention of deep learning in liver disease diag…
datacite
Thalangama, Thathsara
2026
置信度 0.66
HepatologyPhysical Sciences and MathematicsDiseasesMedicine and Health SciencesMedical Specialties
-
Menorrhagia, or Heavy Menstrual Bleeding (HMB), is a common gynecological disorder that significantly affects women’s health and quality of life. Conventional diagnostic and treatment approaches often rely on subjective assessment and standardized therapies, l…
datacite
Acharya Vaishnavi Kamlesh*1, Syed Shoaib Ali2
2026
置信度 0.66
-
Menorrhagia, or Heavy Menstrual Bleeding (HMB), is a common gynecological disorder that significantly affects women’s health and quality of life. Conventional diagnostic and treatment approaches often rely on subjective assessment and standardized therapies, l…
datacite
Acharya Vaishnavi Kamlesh*1, Syed Shoaib Ali2
2026
置信度 0.66
-
This study consists of a scoping review aimed at mapping and analyzing the use of Artificial Intelligence in radiology as a tool for medical education. The review seeks to identify the main strategies for using Artificial Intelligence in radiology teaching dur…
datacite
Hikigi, Juliana Tiemi, Fernandes, Isabela Oliveira, Borges, Maria Eduarda Brandão Faria, Monteiro, Aline Maciel
2026
置信度 0.66
RadiologyMedicine and Health SciencesMedical SpecialtiesMedical EducationArtificial intelligence
-
Cloud computing has a substantial influence on the healthcare ICT infrastructure because of its flexible, scalable, and cost-effective features; it also plays an important role in electronic health record management, clinical workflow, and theinteroperability …
datacite
Brahmanand Reddy Bhavanam
2026
置信度 0.66
-
Cloud computing has a substantial influence on the healthcare ICT infrastructure because of its flexible, scalable, and cost-effective features; it also plays an important role in electronic health record management, clinical workflow, and theinteroperability …
datacite
Brahmanand Reddy Bhavanam
2026
置信度 0.66
-
This study presents a scoping review aimed at mapping and synthesizing the available scientific evidence on the relationship between artificial intelligence (AI) and the development of critical thinking in medical education. The review examines how AI-based to…
datacite
JUAN LUGO
2026
置信度 0.66
Medicine and Health SciencesEducationGenerative Artificial Intelligence; Critical Thinking; Education Medical; Health Sciences; Large Language Models
-
1. Review title Nurse-led escalation of early warning scores and digital/AI deterioration alerts in adult inpatients: a systematic review and meta-analysis of ward cardiac arrest, unplanned ICU admission, and in-hospital mortality 2. Original language title En…
datacite
Fadia, Ahmed Abdelkader Reshia,, Ugwu, Okechukwu Paul-Chima, Ashiru, Muhammad
2026
置信度 0.66
-
1. Review title Nurse-led escalation of early warning scores and digital/AI deterioration alerts in adult inpatients: a systematic review and meta-analysis of ward cardiac arrest, unplanned ICU admission, and in-hospital mortality 2. Original language title En…
datacite
Fadia, Ahmed Abdelkader Reshia,, Ugwu, Okechukwu Paul-Chima, Ashiru, Muhammad
2026
置信度 0.66
-
Abstract : Background: Hospital administrative processes including billing, scheduling, and medical records management—are critical to health system performance but are often characterized by inefficiencies, high operational costs, and workforce burden. Artifi…
datacite
Pradeep, Wijesinghe, Poojani, Illangasinghe
2026
置信度 0.66
Artificial Intelligence, Billing systems, Cost savings, Digital health governance, Efficiency, Health Information Systems, Hospital administration, natural language processing, Robotic process automation.
-
Abstract : Background: Hospital administrative processes including billing, scheduling, and medical records management—are critical to health system performance but are often characterized by inefficiencies, high operational costs, and workforce burden. Artifi…
datacite
Pradeep, Wijesinghe, Poojani, Illangasinghe
2026
置信度 0.66
Artificial Intelligence, Billing systems, Cost savings, Digital health governance, Efficiency, Health Information Systems, Hospital administration, natural language processing, Robotic process automation.
-
Healthcare systems need to reduce administrative burden and support decision-making for clinical practice. Artificial intelligence approaches have the potential to reduce documentation and support diagnosis. Copilot Agents are in-app assistants that enable use…
datacite
Venkata Babu Mogili
2026
置信度 0.66
Retrieval-Augmented Generation, Clinical Decision Support, Electronic Health Records, Healthcare Artificial Intelligence, Agentic Systems, Knowledge Grounding
-
Healthcare systems need to reduce administrative burden and support decision-making for clinical practice. Artificial intelligence approaches have the potential to reduce documentation and support diagnosis. Copilot Agents are in-app assistants that enable use…
datacite
Venkata Babu Mogili
2026
置信度 0.66
Retrieval-Augmented Generation, Clinical Decision Support, Electronic Health Records, Healthcare Artificial Intelligence, Agentic Systems, Knowledge Grounding
-
The rapid growth of data and its usage by Artificial Intelligence applications leads to heightened concerns about data privacy. Researchers often need to analyze datasets that contain personal information, sometimes paired with sensitive attributes such as med…
datacite
Le, Kim Tuyen, Gärtner, Laura, Fleischle, Felix, Schoeller, Thore 等
2026
置信度 0.66
pseudonymizationsensitive dataNatural Language Processingnamed entity recognition
-
The rapid growth of data and its usage by Artificial Intelligence applications leads to heightened concerns about data privacy. Researchers often need to analyze datasets that contain personal information, sometimes paired with sensitive attributes such as med…
datacite
Le, Kim Tuyen, Gärtner, Laura, Fleischle, Felix, Schoeller, Thore 等
2026
置信度 0.66
pseudonymizationsensitive dataNatural Language Processingnamed entity recognition
-
Childbirth is a normal physiological process for human reproduction, but there are various risks to maternal and fetal health and safety during this process . The 'Action Plan to Enhance Maternal and Infant Safety (2021-2025)' proposes a goal to reduce the nat…
datacite
张博文, 张帆
2026
置信度 0.66
Medicine and Health SciencesNursingFOS: Health sciences
-
Einleitung Die zunehmende Anwendung von Künstlicher Intelligenz (KI) in der Medizin wirft grundlegende ethische Fragen auf: Die Anwendung von KI in der Medizin bringt ethische Fragen mit sich. Wer trägt die Verantwortung, wenn eine KI einen Fehler macht? Soll …
datacite
Mahler, Maria Katharina
2025
置信度 0.66
-
The clinical adoption of artificial intelligence (AI) in medical diagnostics is critically hampered by its black-box nature, which prevents clinicians from verifying the rationale behind automated decisions. To overcome this fundamental barrier, we introduce D…
datacite
Lin, Qika, Zhu, Yifan, Pu, Bin, Huang, Ling 等
2025
置信度 0.66
Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
-
This note synthesises key developments in the use of artificial intelligence (AI) in healthcare over the 2014–2023 period, with emphasis on clinical applications and governance constraints. It reviews advances in machine learning for diagnosis and prognosis, p…
datacite
Silva-Morales, Milena-Jael
2023
置信度 0.66
artificial intelligence in healthcareMachine Learning/ethicsmedical imagingNatural language processingnatural language processing
-
This note synthesises key developments in the use of artificial intelligence (AI) in healthcare over the 2014–2023 period, with emphasis on clinical applications and governance constraints. It reviews advances in machine learning for diagnosis and prognosis, p…
datacite
Silva-Morales, Milena-Jael
2023
置信度 0.66
artificial intelligence in healthcareMachine Learning/ethicsmedical imagingNatural language processingnatural language processing
-
This note synthesises key developments in the use of artificial intelligence (AI) in healthcare over the 2014–2023 period, with emphasis on clinical applications and governance constraints. It reviews advances in machine learning for diagnosis and prognosis, p…
datacite
Silva-Morales, Milena-Jael
2023
置信度 0.66
artificial intelligence in healthcareMachine Learning/ethicsmedical imagingNatural language processingnatural language processing
-
This note synthesises key developments in the use of artificial intelligence (AI) in healthcare over the 2014–2023 period, with emphasis on clinical applications and governance constraints. It reviews advances in machine learning for diagnosis and prognosis, p…
datacite
Silva-Morales, Milena-Jael
2023
置信度 0.66
artificial intelligence in healthcareMachine Learning/ethicsmedical imagingNatural language processingnatural language processing
-
Additional file 1. Final searches for the scoping review. The final searches for the scoping review is provided.
datacite
Fasterholdt, Iben, Naghavi-Behzad, Mohammad, Rasmussen, Benjamin S. B., Kjølhede, Tue 等
2022
置信度 0.66
Information SystemsFOS: Computer and information sciences
-
Additional file 1. Final searches for the scoping review. The final searches for the scoping review is provided.
datacite
Fasterholdt, Iben, Naghavi-Behzad, Mohammad, Rasmussen, Benjamin S. B., Kjølhede, Tue 等
2022
置信度 0.66
Information SystemsFOS: Computer and information sciences
-
Additional file 2. Full data analysis for all domains. The full data analysis for all domains is provided.
datacite
Fasterholdt, Iben, Naghavi-Behzad, Mohammad, Rasmussen, Benjamin S. B., Kjølhede, Tue 等
2022
置信度 0.66
Information SystemsFOS: Computer and information sciences
-
Additional file 2. Full data analysis for all domains. The full data analysis for all domains is provided.
datacite
Fasterholdt, Iben, Naghavi-Behzad, Mohammad, Rasmussen, Benjamin S. B., Kjølhede, Tue 等
2022
置信度 0.66
Information SystemsFOS: Computer and information sciences
-
Artificial intelligence and autonomous robotics are entering hospitals. This is no longer a question of whether but of when, how fast, and — most critically — under whose governance. This paper proposes SMART-H 3.0 (Smart Medical Autonomous Robotics Technology…
datacite
BRIZUELA, HORACIO
2026
置信度 0.66
Smart Hospital AI Governance Healthcare-Associated Infections Autonomous Robotics Constitutional Governance Recursive Governance Infection Prevention and Control EU AI Act Medical Device Regulation Antimicrobial Resistance RAH-SPINE CAH-SPINE CGN Digital Twin
-
Artificial intelligence and autonomous robotics are entering hospitals. This is no longer a question of whether but of when, how fast, and — most critically — under whose governance. This paper proposes SMART-H 3.0 (Smart Medical Autonomous Robotics Technology…
datacite
BRIZUELA, HORACIO
2026
置信度 0.66
Smart Hospital AI Governance Healthcare-Associated Infections Autonomous Robotics Constitutional Governance Recursive Governance Infection Prevention and Control EU AI Act Medical Device Regulation Antimicrobial Resistance RAH-SPINE CAH-SPINE CGN Digital Twin
-
Medical hyperspectral imaging (HSI) combined with AI analysis is a rapidly evolving field that aims to enhance diagnostic accuracy and clinical outcomes. HSI captures both spatial and spectral information, providing detailed insights into the physiological and…
datacite
Willems, Siri
2025
置信度 0.66
Translational Medical ResearchPhysical Sciences and MathematicsMedicine and Health SciencesComputer SciencesArtificial Intelligence and Robotics
-
Background Inflammatory bowel disease (IBD) mainly includes Crohn's Disease (CD) and Ulcerative Colitis (Ulcerative Colitis). UC is a group of chronic non-specific inflammatory diseases with abdominal pain, diarrhea, mucous blood stool as the main symptoms. In…
datacite
Li, Yiting, Wenjing Tu, Ziqi Mei, Tingting YIN
2024
置信度 0.66
Physical Sciences and MathematicsDietetics and Clinical NutritionMedicine and Health SciencesComputer SciencesNursing
-
This deposit contains the complete dataset, analysis code, predictive models, and manuscript supporting a cross-sectional audit of machine learning and artificial intelligence (ML/AI) evaluation capacity at 9 major US medical journals. Key findings: 0 of 14 ed…
datacite
Demidont, A.C.
2026
置信度 0.66
editorial competencemachine learningartificial intelligencemedical journalspeer review
-
This deposit contains the complete dataset, analysis code, predictive models, and manuscript supporting a cross-sectional audit of machine learning and artificial intelligence (ML/AI) evaluation capacity at 9 major US medical journals. Key findings: 0 of 14 ed…
datacite
Demidont, A.C.
2026
置信度 0.66
editorial competencemachine learningartificial intelligencemedical journalspeer review
-
Artificial intelligence is rapidly expanding in medical education. While traditional simulation has long supported OSCE preparation and clinical skills training, conversational AI offers a new avenue for learner interaction through virtual patients and examine…
datacite
Still, Amy
2026
置信度 0.66
Medicine and Health SciencesMedical Education
-
This project aims to systematically evaluate the performance, reliability, and heterogeneity of large language models (LLMs) in the automated screening of medical literature. As the volume of scientific publications continues to grow exponentially, the screeni…
datacite
Xie, Chenggong
2026
置信度 0.66
DiagnosisMedicine and Health SciencesAnalytical, Diagnostic and Therapeutic Techniques and Equipment
-
The objective of this scoping review is to map how artificial intelligence (AI) based chatbots are used in nutrition weight management in adults, as well as identify and synthesise evidence on equity, safety and accessibility, with a particular focus on cultur…
datacite
Lim, James, Roy, Rajshri
2026
置信度 0.66
Health Information TechnologyTranslational Medical ResearchDietetics and Clinical NutritionNutritionMedicine and Health Sciences
-
This systematic review examines how postgraduate medical trainees (residents and fellows) use artificial intelligence platforms, particularly large language models like ChatGPT and GPT-4, for learning and research. PURPOSE: To synthesize evidence on AI adoptio…
datacite
Ali, Sajjad
2026
置信度 0.66
Education: artificial intelligence; medical education; graduate medical education; residency training; large language models; ChatGPT; systematic review
-
Clinical trials are essential for advancing medical treatments but face persistent challenges including slow recruitment, high costs, and complex regulatory demands. Artificial intelligence (AI), particularly large generative AI, has emerged as a potential too…
datacite
Lee, Seung Heyck, Yahya, Ayesha, Serpico, Kimberley, Yeh, Natalie 等
2026
置信度 0.66
Medicine and Health Sciencesartificial intelligenceclinical trialconsentlarge language model
-
Background: Artificial Intelligence-based technologies, in particular Large Language Models, are getting increasingly popular with improving capabilities in text generation and image analysis. However, single Large Language Models still lack the capability to …
datacite
Waheed, Muhammad Atif
2026
置信度 0.66
PENTLLM, Large Language Models, Multi-Agent Architecture, Medical Research, Artificial Intelligence, Peer Review, Systematic Review, Meta-Analysis, Agentic AI, Clinical RAG, Evidence-Based Medicine, Privacy-Preserving AI, LangChain, LangGraph, Natural Language Processing
-
Background: Artificial Intelligence-based technologies, in particular Large Language Models, are getting increasingly popular with improving capabilities in text generation and image analysis. However, single Large Language Models still lack the capability to …
datacite
Waheed, Muhammad Atif
2026
置信度 0.66
PENTLLM, Large Language Models, Multi-Agent Architecture, Medical Research, Artificial Intelligence, Peer Review, Systematic Review, Meta-Analysis, Agentic AI, Clinical RAG, Evidence-Based Medicine, Privacy-Preserving AI, LangChain, LangGraph, Natural Language Processing
-
Introduction: The training of future physicians occurs in a context where preventable clinical errors are still frequent and safe decision-making is increasingly complex. Faced with this scenario, clinical simulation has emerged as a key strategy for risk-free…
datacite
Pesantes, Mariana, Franco, Sofía Rincón, Sanmiguel, Juliana Andrea Suárez, Rodriguez, Lidia Yuliana Orozco 等
2026
置信度 0.66
Medicine and Health Sciences
-
ORACLES-AI (ORal Annotated Clinical Lesion Evaluation dataset for Artificial Intelligence) is an annotated, image-based dataset developed to advance research, education, and computational modelling in the domain of oral mucosal health and disease. The dataset …
datacite
Dr Madan Kumar, Dr Ranganathan Kannan, Dr Lavanya C, Dr. Jayanta Chattopadhyay 等
2025
置信度 0.66
Health Information TechnologyNeoplasmsComputational EngineeringDiseasesDiagnosis
-
This project is a systematic review on the pedagogical use of artificial intelligence (AI) in health sciences education, focusing on university faculty perceptions and experiences. The aim is to synthesize empirical evidence on how faculty conceptualize AI as …
datacite
Quidel, Juan Francisco Hernández, Lindín, Carles, Parcerisa, Lluís, i Valero, Joan-Anton Sánchez
2025
置信度 0.66
Teacher Education and Professional DevelopmentHigher Education and TeachingMedicine and Health SciencesEducationHigher Education
-
The aim of this scoping review is to systematically map and synthesize the published literature on the integration of artificial intelligence (AI) in non-medical health professions education (HPE). The review will focus on AI-related educational content, teach…
datacite
Yousefi, Farzaneh, Gagnon, Marie-Pierre, Sasseville, Maxime, Dehnavieh, Reza 等
2026
置信度 0.66
Medicine and Health SciencesEducationAIhealthArtificial intelligenceCurriculum
-
The production of medical and scientific research has grown exponentially since the first medical articles were published. The current pyramid of evidence-based medicine represents the tip of the research iceberg, and the achievement of next-generation “deep” …
datacite
Carrer, Luca, Pozzati, Marco, Taborelli, Dario, Maschi, Niccolò 等
2026
置信度 0.66
Medicine and Health SciencesGenerative Artificial IntelligenceLarge Language ModelSystematic Review
-
Purpose: This review discovers the transformative impression of Artificial Intelligence (AI) and Machine Learning (ML) on the pharmaceutical industry and healthcare delivery, focusing on drug discovery, clinical pharmacy practice, and operational productivity.…
datacite
Dhairya Gambhir*, Kanishek Tiwari, Govind Saini, Himanshu Dhakad 等
2026
置信度 0.66
Artificial IntelligenceTechnologyPharmaceuticalsDrug FormulationChallenges
-
Purpose: This review discovers the transformative impression of Artificial Intelligence (AI) and Machine Learning (ML) on the pharmaceutical industry and healthcare delivery, focusing on drug discovery, clinical pharmacy practice, and operational productivity.…
datacite
Dhairya Gambhir*, Kanishek Tiwari, Govind Saini, Himanshu Dhakad 等
2026
置信度 0.66
Artificial IntelligenceTechnologyPharmaceuticalsDrug FormulationChallenges
-
Additional file 1. Search terms and search strategy.
datacite
Bai, Anying, Si, Mingyu, Xue, Peng, Qu, Yimin 等
2024
置信度 0.66
Artificial Intelligence and Image ProcessingFOS: Computer and information sciences
-
Additional file 1. Search terms and search strategy.
datacite
Bai, Anying, Si, Mingyu, Xue, Peng, Qu, Yimin 等
2024
置信度 0.66
Artificial Intelligence and Image ProcessingFOS: Computer and information sciences
-
Additional file 2. PRISMA checklist.
datacite
Bai, Anying, Si, Mingyu, Xue, Peng, Qu, Yimin 等
2024
置信度 0.66
Artificial Intelligence and Image ProcessingFOS: Computer and information sciences
-
Additional file 2. PRISMA checklist.
datacite
Bai, Anying, Si, Mingyu, Xue, Peng, Qu, Yimin 等
2024
置信度 0.66
Artificial Intelligence and Image ProcessingFOS: Computer and information sciences
-
This working paper introduces the Vulnerability-Aware Artificial Intelligence Framework (VAAF), a conceptual approach for integrating artificial intelligence into healthcare while preserving relational and ethical dimensions of care. Rather than framing AI as …
datacite
Blanco Sorzano, David
2026
置信度 0.66
Artificial IntelligenceDigital HealthRadiologyRadiology/ethicsHealth sciences
-
This working paper introduces the Vulnerability-Aware Artificial Intelligence Framework (VAAF), a conceptual approach for integrating artificial intelligence into healthcare while preserving relational and ethical dimensions of care. Rather than framing AI as …
datacite
Blanco Sorzano, David
2026
置信度 0.66
Artificial IntelligenceDigital HealthRadiologyRadiology/ethicsHealth sciences
-
This working paper introduces the Vulnerability-Aware Artificial Intelligence Framework (VAAF), a conceptual approach for integrating artificial intelligence into healthcare while preserving relational and ethical dimensions of care. Rather than framing AI as …
datacite
Blanco Sorzano, David
2026
置信度 0.66
Artificial IntelligenceDigital HealthRadiologyRadiology/ethicsHealth sciences
-
Medical image generation using artificial intelligence, especially Generative Adversarial Networks (GANs), has become a powerful solution to address challenges of limited data, class imbalance, and privacy restrictions in clinical imaging. While several GAN-ba…
datacite
Dash, Archana, Panigrahi, Soumyarashmi, Adhikary, Dibya Ranjan Das, Swarnkar, Tripti
2026
置信度 0.66
Space ScienceMedicineBiotechnologyBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classified
-
Medical image generation using artificial intelligence, especially Generative Adversarial Networks (GANs), has become a powerful solution to address challenges of limited data, class imbalance, and privacy restrictions in clinical imaging. While several GAN-ba…
datacite
Dash, Archana, Panigrahi, Soumyarashmi, Adhikary, Dibya Ranjan Das, Swarnkar, Tripti
2026
置信度 0.66
Space ScienceMedicineBiotechnologyBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classified
-
The transition from conventional software-only artificial intelligence to physical AI systems incor- porating robotic hardware in oncology clinical trials represents a paradigm shift requiring unified infrastructure for privacy, regulation, cross-framework int…
datacite
Kawchak, Kevin
2026
置信度 0.66
Federated LearningPhysical AIOncology Clinical TrialsDigital TwinsRegulatory Compliance
-
The transition from conventional software-only artificial intelligence to physical AI systems incor- porating robotic hardware in oncology clinical trials represents a paradigm shift requiring unified infrastructure for privacy, regulation, cross-framework int…
datacite
Kawchak, Kevin
2026
置信度 0.66
Federated LearningPhysical AIOncology Clinical TrialsDigital TwinsRegulatory Compliance
-
This scoping review protocol outlines a methodological approach to investigate how Artificial Intelligence (AI), particularly Large Language Models (LLMs), is employed to support regulatory compliance and software quality within medical systems. The developmen…
datacite
da Silva Júnior, Klayton Marcos Veloso, Bublitz, Frederico Moreira, de França Clemente e Rodrigues de Oliveira, Rodolfo Heckmann, de Barros Sales, Débora Karoliny 等
2026
置信度 0.66
Health Information TechnologyComputer EngineeringOther Medicine and Health SciencesMedicine and Health SciencesEngineering
-
Breast cancer is one of the most prevalent and life-threatening cancers affecting women globally, with survival outcomes highly dependent on early detection. Conventional diagnostic techniques such as mammography, ultrasound, and biopsy are effective but face …
datacite
Lunge, Vidya S, Lunge, Radha S
2026
置信度 0.66
Breast Cancer, Artificial Intelligence, Early Detection, Medical Imaging, Deep Learning, Data Privacy, Healthcare Regulations
-
Breast cancer is one of the most prevalent and life-threatening cancers affecting women globally, with survival outcomes highly dependent on early detection. Conventional diagnostic techniques such as mammography, ultrasound, and biopsy are effective but face …
datacite
Lunge, Vidya S, Lunge, Radha S
2026
置信度 0.66
Breast Cancer, Artificial Intelligence, Early Detection, Medical Imaging, Deep Learning, Data Privacy, Healthcare Regulations
-
This scoping review aims to map and characterize the available evidence on the use of artificial intelligence tools in medical education, particularly their role in strengthening clinical reasoning and clinical decision-making among physicians in training. A c…
datacite
Peñuela, Camilo Andres Torres, Hernandez, Daniela Johanna Restrepo, Peñuela, Claudia Liliana Jaimes
2026
置信度 0.66
-
This scoping review aims to systematically map the existing literature on the application of multimodal knowledge graphs in the full-cycle health management of patients with dementia. With the global aging population and rising dementia prevalence, there is an…
datacite
Dai, Ruru, Weiwei Jiang, Xingmei Mao
2026
置信度 0.66
Medicine and Health SciencesMultimodal Knowledge Graph Dementia Scoping Review Health Management Artificial Intelligence Nursing Care Clinical Decision Support Aging Alzheimer's Disease Digital Health
-
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/18778695. Summary of the Research This paper explores whether the two core rules used in neoclassical economic theory are…
datacite
Stefan Daniel Anim-Sampong
2026
置信度 0.66
Requested PREreview
-
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/18778695. Summary of the Research This paper explores whether the two core rules used in neoclassical economic theory are…
datacite
Stefan Daniel Anim-Sampong
2026
置信度 0.66
Requested PREreview
-
Artificial intelligence (AI) technologies are rapidly transforming healthcare delivery globally. The pace of technological advancement is currently exceeding the speed of regulatory adaptation, creating a significant gap in published systematic evidence. Austr…
datacite
Mordaunt, Dylan A, Palmer, Lyle, Kirkpatrick, Emily, Hosking, Michael
2026
置信度 0.66
Health Information TechnologyPublic AdministrationComparative PoliticsOther Public HealthPublic Policy
-
The integration of artificial intelligence (AI) and machine learning (ML) technologies in healthcare has revolutionized clinical decision-making, diagnostic accuracy, and treatment planning. This comprehensive review examines the current state of AI/ML applica…
datacite
Jammalamudi Chaitanya babu, Dr. Jayant Isaac
2026
置信度 0.66
-
The integration of artificial intelligence (AI) and machine learning (ML) technologies in healthcare has revolutionized clinical decision-making, diagnostic accuracy, and treatment planning. This comprehensive review examines the current state of AI/ML applica…
datacite
Jammalamudi Chaitanya babu, Dr. Jayant Isaac
2026
置信度 0.66
-
Additional file 1: Table S1. Search strategies. Table S2. Checklist for Artificial Intelligence in Medical Imaging (CLAIM). Table S3. PROBAST (Prediction model Risk of Bias Assessment Tool) Review Items. Table S4. Result of CLAIM. Table S5. Result of PROBAST. …
datacite
Liu, Peiru, Sun, Ying, Zhao, Xinzhuo, Yan, Ying
2024
置信度 0.66
Space ScienceBiotechnologyBiological Sciences not elsewhere classifiedScience Policy
-
Additional file 1: Table S1. Search strategies. Table S2. Checklist for Artificial Intelligence in Medical Imaging (CLAIM). Table S3. PROBAST (Prediction model Risk of Bias Assessment Tool) Review Items. Table S4. Result of CLAIM. Table S5. Result of PROBAST. …
datacite
Liu, Peiru, Sun, Ying, Zhao, Xinzhuo, Yan, Ying
2024
置信度 0.66
Space ScienceBiotechnologyBiological Sciences not elsewhere classifiedScience Policy
-
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Hakim Nasaoui, Hassan Silkan, Insaf Bellamine
2026-05-27T00:38:11Z
置信度 0.70
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In recent years, artificial intelligence and big data have increasingly influenced healthcare, contributing to the development of clinical decision support systems (CDSS). This paper presents a framework for an Artificial Intelligence-CDSS(AI-CDSS) that retrie…
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Bangyin Xiang
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置信度 0.70
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置信度 0.70
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Artificial intelligence (AI) technologies are one of the most important scientific and technological achievements of the modern era.Artificial intelligence (AI) means that machines and computer systems have the ability to think and learn like the human brain.T…
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置信度 0.70
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A desktop-based artificial intelligence system developed for the classification of chest X-ray images into Normal or Pneumonia categories. The approach employs a lightweight Convolutional Neural Network (CNN) trained on carefully preprocessed grayscale chest X…
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Y. Srinivas, G. Shravya, K. Santhoshini, G. Pravalika 等
2026-02-25T20:55:03Z
置信度 0.70
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Modern models of artificial intelligence, as a rule, work on the principle of a black box. Having trained the model on the training data, we proceed to its exploitation, relying on its accuracy, assessed in the process of training, cross-validation and testing…
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D. Klyushin, A. Urazovskyi
2023-09-15T21:05:06Z
置信度 0.70
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Artificial Intelligence (AI) is rapidly reshaping medical education by providing innovative methods to enhance both theoretical knowledge and clinical skills development. AI technologies, including intelligent tutoring systems, adaptive learning platforms, sim…
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Djalilova Gulchekhra Azamovna
2025-12-24T11:55:20Z
置信度 0.70
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2024-09-24T16:25:21Z
置信度 0.70
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Wilson Singh, Shruti Bharadwaj, Rakesh Dubey, Neeti Bharadwaj
2026-06-30T11:30:34Z
置信度 0.70
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The control of the right application of medical protocols is a key issue in hospital environments. For the automated monitoring of medical protocols, we need a domain-independent language for their representation and a fully, or semi, autonomous system that un…
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T. Alsinet, C. Ansótegui, R. Béjar, C. Fernández 等
2003-04-04T17:33:30Z
置信度 0.70
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Basically, artificial intelligence (AI) is a program or machine created by humans that aims to mimic human abilities in various types of tasks. Considering that Indonesia does not yet have specific regulations regarding AI, the ability of AI to act like humans…
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Junaidi Junaidi, Rozlinda Mohamed Fadzil, Tharin Phanuphong Vejasak
2026-07-22T11:30:05Z
置信度 0.70
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Niklesh Akula, Ronald Rodriguez
2026-02-04T02:27:42Z
置信度 0.70
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Applications of artificial intelligence in education (AIEd) are emerging and are new to researchers and practitioners alike. Reviews of the relevant literature have not examined how AI technologies have been integrated into each of the four key educational dom…
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Thomas K.F. Chiu, Qi Xia, Xinyan Zhou, Ching Sing Chai 等
2022-12-19T20:22:42Z
置信度 0.70
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2003-03-14T08:02:52Z
置信度 0.70
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Histopathological imaging has a substantial impact on the diagnosis and prognosis of many illnesses, including cancer, infectious infections, and autoimmune disorders. The introduction of artificial intelligence (AI) techniques to histological analysis, such a…
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Atul Rathore, Praveen Lalwani, Pooja Lalwani, Rabia Musheer
2025-10-10T21:19:31Z
置信度 0.70
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Lifang Wang, Yang Liu, Jia Mi, Jiong Zhang
2022-12-22T06:13:25Z
置信度 0.70
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In the area of medical imaging, fully-automatic and robust segmentation techniques would have an enormous beneficial impact on clinical practice and research, by decreasing dramatically the manual effort which must otherwise be devoted to this task. Deployment…
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I. Middleton
2005-11-22T16:27:28Z
置信度 0.70
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Ali Zifan
2026-05-21T08:20:55Z
置信度 0.70
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Aline L. de Araujo, Cailin Hardell, Wojciech A. Koszek, Jie Wu 等
2022-04-22T01:03:34Z
置信度 0.70
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The relevance. The rate of spread of artificial systems with intelligence is increasing every year. This is evidenced by a large number of scientific publications, patents, research in this area and support for government programs. However, the ambiguity of it…
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I. A. Aseeva
2024-12-08T15:07:19Z
置信度 0.70
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The concept of artificial intelligence was born at least seventy years ago but is only in the last two years that it has found wide use in many scientific fields, including physics, chemistry and medicine, in the form of neural networks, machine learning and d…
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Cesare Achilli, Maurizio Siletti
2025-12-08T05:44:24Z
置信度 0.70
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Damiano Caruso, Domenico De Santis, Tiziano Polidori, Marta Zerunian 等
2022-04-22T01:03:34Z
置信度 0.70
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Yefim Schukin
2003-03-14T13:02:52Z
置信度 0.70
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Daniel G. Bobrow
2003-03-14T13:02:52Z
置信度 0.70