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• Comprehensive Study of Machine Learning-Based Systems for Early Warning of Clinical Deterioration
  crossref 2022-12-28T05:58:15Z 置信度 0.64
• Clinical diagnosis of overlapping symptoms in COVID-19 based on machine learning model
  The global pandemic COVID-19 erupted and infected an estimated 10% of the world’s population. Since vaccinations greatly reduced hospitalization rates, most countries removed the restrictive policies implemented to combat the virus. It has become a rather comm…
  crossref Jingxuan Zhang 2024-02-05T22:43:04Z 置信度 0.82 medicinecs.lgcomputer scienceartificial intelligencebiological sciences not elsewhere classified
• Early detection of diabetes with quantum machine learning and causal inference techniques
  Diabetes has become one of the most common chronic diseases in the United States. It is also the one that remains either undiagnosed or misdiagnosed over the years, leading a patient to life threatening conditions. The main reasons behind this are- lack of awa…
  crossref Paramita Basak Upama, Md Munirul Haque, Kazi Shafiul Alam, Sheikh Iqbal Ahamed 2026-04-14T17:07:03Z 置信度 0.82 computer scienceintensive care medicinedata sciencediseasestat.ml
• MACHINE LEARNING BASED CLINICAL DECISION SUPPORT SYSTEM TO PREDICT FETAL HYPOXIA IN WOMEN DURING ANTENATAL CHECK-UP.
  BACKGROUND:Most under-five deaths occur within the first month after birth and intrapartum complications are a major contributor to the cause of death. These defects can be easily identified during the ante-natal check-up by use of a non-stress test. Due to th…
  crossref Sajal Baxi 2021-05-08T03:36:39Z 置信度 0.79 artificial intelligencemedicinestat.mlcomputer sciencehealth care
• Monte Carlo Peaks: Simulated Datasets to Benchmark Machine Learning Algorithms for Clinical Spectroscopy
  crossref Jaume Béjar-Grimalt, Ángel Sánchez-Illana, Guillermo Quintas, Hugh James Byrne 等 2025-06-23T20:18:22Z 置信度 0.66
• Machine Learning-Based Predictive Modeling of Postpartum Depression
  Postpartum depression is a serious health issue beyond the mental health problems that affect mothers after childbirth. There are no predictive tools available to screen postpartum depression that also allow early interventions. We aimed to develop predictive …
  crossref Dayeon Shin, Kyung Ju Lee, Temidayo Adeluwa, Junguk Hur 2020-09-08T09:03:48Z 置信度 0.79 medicinebiological sciences not elsewhere classifiedbiotechnologymachine learningartificial intelligence
• Machine learning versus human expertise: The case of sleep stage classification in disorders of consciousness. Response to Wislowska et al.
  crossref Boris Kotchoubey, Yuri G. Pavlov 2018-10-24T23:22:12Z 置信度 0.63
• Using Machine Learning to Analyze Sudanese Opinions for Political Decision Making
  Sentiment Analysis (SA) is the application of text mining techniques for extraction and identification of subjective opinions from textual data.SA has many applications ranging from financial analysis to political decision-making domains.Although a lot of work…
  crossref 2022-03-29T09:36:37Z 置信度 0.79 cs.lgartificial intelligencecs.clstat.mlcs.ai
• What Is Machine Learning?
  The first Checkers program from machine learning pioneer Arthur Samuel debuted in 1956, demonstrating artificial “intelligence” capabilities [68].
  crossref Arjun Panesar 2020-12-15T14:05:55Z 置信度 0.72
• Machine Learning with R: Classification
  crossref 2019-01-20T19:25:06Z 置信度 0.64
• Fake Review Detection using Machine Learning
  Online reviews have become increasingly important in the world of e-commerce, serving as a powerful tool to establish a business's reputation and attract new customers. However, the rise of fake reviews has become a growing concern as they can skew the reputat…
  crossref Gayathri M, Y.S.N Siva Teja, K.Ajay Sharma 2023-12-21T09:54:33Z 置信度 0.77 climate changemedlinepsychological interventionbiochemical engineeringbig data
• Problems with Machine Learning and Knowledge Acquisition
  The early overhyped expectations about expert systems were not fulfilled. There are now enormous expectations for machine learning. For supervised machine learning, obtaining sufficient high-quality data for learning is difficult. There is a particular problem…
  crossref Paul Compton, Byeong Ho Kang 2021-04-13T08:05:14Z 置信度 0.79 computer scienceartificial intelligencecs.lgpsychologycognitive science
• Proceedings of the 2004 International Conference on Machine Learning and Applications
  crossref 2011-06-01T09:01:21Z 置信度 0.63
• Physics-Informed Sparse Machine Learning of Geotechnical Monitoring Data
  Advancements in geotechnical monitoring provide continuous streams of data, which may originate from multiple sources and increase constantly in quantity over time. However, monitoring data from a specific project are often obtained at limited locations only a…
  crossref Yu Wang, Hua-Ming Tian 2026-07-30T18:37:51Z 置信度 0.82 computer sciencecomputer and information sciencescs.lgartificial intelligencecs.ai
• Classification with Bayesian MARS
  crossref C.C. Holmes, D.G.T. Denison 2003-03-15T08:37:24Z 置信度 0.55
• Applying Machine Learning to Augment the Design and Assessment of Immersive Learning Experience
  crossref Chih-Pu Dai 2024-02-24T19:01:58Z 置信度 0.66
• Evolution and Opportunities for Transactional Machine Learning in Almost Every Industry
  We have discussed several areas that make TML effective in the application of AutoML to data streams for greater business insights and impact. What underlies TML opportunities is the belief that fast data will require fast machine learning for fast decision-ma…
  crossref Sebastian Maurice 2021-05-19T10:03:18Z 置信度 0.79 computer scienceartificial intelligencecs.lgbig datastat.ml
• Voice spoofing detection for multiclass attack classification using deep learning
  Voice biometric authentication is increasingly gaining adoption in organizations with high-volume identity verifications and for providing access to physical and other virtual spaces. In this form of authentication, the user’s identity is verified with their v…
  crossref Jason Boyd, Muhammad Fahim, Oluwafemi Olukoya 2023-10-11T01:49:32Z 置信度 0.79 computer sciencecs.lgcs.aiartificial intelligencecomputer and information sciences
• Editorial Exploratory research in machine learning
  crossref Thomas G. Dietterich 2004-10-31T01:43:51Z 置信度 0.61
• Embedded Machine Learning
  crossref Ian H. Witten, Eibe Frank, Mark A. Hall 2011-01-18T04:13:07Z 置信度 0.63
• The Design of Discrimination Experiments
  crossref Shankar A. Rajamoney 2003-04-04T16:57:10Z 置信度 0.55
• Machine Learning Model for Breast Cancer Detection and Classification
  Breast cancer is still one of the prevalent diseases affecting females globally. Machine learning (ML) has come in handy in breast cancer detection by assisting doctors and other healthcare workers with accurate diagnosis in a short time period. The research a…
  crossref Neeru Mago, Rajinder Singh 2026-02-12T16:16:06Z 置信度 0.82 computer sciencemedicineartificial intelligencecs.lgconvolutional neural network
• Solutions Using Machine Learning for Diabetes
  Diabetes mellitus, a chronic disease that has a significant influence on human lives, families, and communities globally, has reached alarming levels and is therefore a leading economic challenge of the twenty-first century. The International Diabetes Federati…
  crossref Jabar H. Yousif, Kashif Zia, Durgesh Srivastava 2022-08-26T18:05:38Z 置信度 0.79 medicinediseasehealth careclimate changeintensive care medicine
• Machine Learning–Based VLSI Test and Verification
  To test Integrated Chips, test pattern generation and fault simulation are vital. Testing verifies a circuit's accuracy regarding gates and connections between them. The fundamental purpose of testing is to model the circuit's various activities. Several Elect…
  crossref Jyoti Kandpal 2023-06-25T00:47:53Z 置信度 0.79 large language modelsmechanical engineeringidentificationrobustnessreliability
• Machine Learning, Data Mining for IoT-Based Systems
  This chapter will addresses challenges with the internet of things (IoT) and machine learning (ML), how a bit of the trouble of machine learning executions are recorded here and should be recalled while arranging the game plan, and the decision of right figuri…
  crossref Ramgopal Kashyap 2022-07-08T11:31:23Z 置信度 0.79 computer sciencecloud computinginternet of thingsbig datacomputer security
• Explainable AI in drought forecasting
  Droughts are one of the disastrous natural hazards which has severe impacts on agricultural production, economy, and society. One of the critical steps for effective drought management is developing a robust forecasting model and understanding how the variable…
  crossref Abhirup Dikshit, Biswajeet Pradhan 2021-10-25T21:48:08Z 置信度 0.71 environmental scienceclimatologygeologyremote sensingstat.ap
• Clause Learning
  crossref 2010-12-29T17:42:10Z 置信度 0.58
• Study on the Prognostic Prediction Model and Clinical Application Value of Machine Learning-based Approach for Septic Children in PICU
  Objective: To explore the application value of a machine learning-based prediction model in assessing the prognosis of septic children in the pediatric intensive care unit (PICU) and provide data support for clinical decision-making. Methods: A total of 180 se…
  crossref Li Yu 2025-10-23T07:14:35Z 置信度 0.82 medicineartificial intelligenceintensive care medicinecs.lginternal medicine
• Counter-story in machine learning
  crossref Esperanza Huerta Espinosa 2023-07-06T17:12:50Z 置信度 0.64
• Steganographic Capacity of Selected Machine Learning and Deep Learning Models
  As machine learning and deep learning models become ubiquitous, it is inevitable that there will be attempts to exploit such models in various attack scenarios. For example, in a steganographic based attack, information would be hidden in a learning model, whi…
  crossref Lei Zhang 2023-06-15T15:53:00Z 置信度 0.79 cs.lgartificial intelligencemachine learningdeep learningartificial neural network
• Machine Learning and Precision Farming
  crossref Shyamasree Ghosh, Rathi Dasgupta 2022-05-04T17:03:22Z 置信度 0.64
• Machine Learning and Plant Sciences
  crossref Shyamasree Ghosh, Rathi Dasgupta 2022-05-04T17:03:22Z 置信度 0.64
• Introduction to Machine Learning
  crossref Elena Bellodi, Riccardo Zese, Fabrizio Riguzzi, Evelina Lamma 2022-05-25T18:03:53Z 置信度 0.64
• Classification of Fetal Arrhythmia using Electrocardiogram Signal Processing and Machine learning
  Cardiac Arrhythmia, a condition characterized by irregular deviations from the standard cardiovascular cycle, poses a serious threat to fetal well-being and accounts for a significant portion of unexpected infant deaths. The objective of this study is to devel…
  crossref Nav Malhotra 2025-05-23T17:02:44Z 置信度 0.82 artificial intelligenceconvolutional neural networkcs.lgmedicinescience policy
• Sociology and Machine Learning
  Abstract This chapter serves as an introduction to the Oxford Handbook of the Sociology of Machine Learning. It outlines the volume’s principal objective: To provide a comprehensive, state-of-the-art overview and forward-looking discussion of three pivotal the…
  crossref Christian Borch, Juan Pablo Pardo-Guerra 2024-07-18T15:54:17Z 置信度 0.82 cs.lgstat.mlartificial intelligencecloud computinginterpretability
• Classifier Systems and the Animat Problem
  crossref Stewart W. Wilson 2003-04-04T16:55:36Z 置信度 0.55
• Machine learning–enabled IoT for biomedical applications
  The biomedical field is one of the sectors in which the Internet of Things (IoT) has had an impact and applications in recent decades. Applications for computational methods like data science and machine learning (ML) have also been used in the biomedical fiel…
  crossref Hashmat Usmani, Renu Rani 2024-10-04T11:24:27Z 置信度 0.82 computer sciencedata sciencebig datahealth careinternet of things
• Machine Learning for Real-time Detection of Complications during Neurosurgery
  crossref David Miller 2025-11-26T05:54:48Z 置信度 0.66
• Toward a unified science of machine learning
  crossref Pat Langley 2004-11-01T03:05:07Z 置信度 0.61
• Introduction to Machine Learning Architecture
  crossref Mohammad Reza Mahdiani 2026-04-30T22:15:43Z 置信度 0.66
• Proceedings 2021 3rd International Conference on Applied Machine Learning [Title page i]
  crossref 2022-02-18T20:34:52Z 置信度 0.64
• Learning Locally and Globally: Maxi-Min Margin Machine
  crossref 2008-09-22T16:10:34Z 置信度 0.61
• Integration of Machine Learning in Educational Processes
  crossref Soumita Sen, Krishnendu Ghosh 2026-02-02T09:13:25Z 置信度 0.66
• Children, Adults, and Machines as Discovery Systems
  crossref David Klahr 2003-04-04T16:55:36Z 置信度 0.61
• Introduction to Reinforcement and Systemic Machine Learning
  This chapter discusses limitations of reinforcement learning and the concept of systemic learning. The systemic machine-learning paradigm is discussed along with various concepts and techniques. The chapter also covers an introduction to traditional learning m…
  crossref 2012-07-19T11:27:22Z 置信度 0.78 cs.lgartificial intelligencereinforcement learningmachine learningcomputer science
• Chapter 7: Machine Learning Clustering with GPT-4
  crossref 2024-06-04T02:00:52Z 置信度 0.66
• Wavelength-dependent responses and machine learning in nanophotonics modeling
  Machine learning techniques have been proposed in the literature for the modeling of photonic devices. These techniques can be used to speed up the design process. The data samples needed to build machine learning models are collected from electromagnetic simu…
  crossref Francesco Ferranti 2024-06-18T12:54:59Z 置信度 0.82 cs.lgcomputer sciencestat.mlcomputer and information sciencesphysical sciences
• Evaluating Machine Learning Models
  As a field, machine learning is still in its infancy. Advanced machine learning has only been explored over the last 25 years, which has fueled data science as a profession. Thus, the data science industry is still in a phase of wonderment at the endless poten…
  crossref Arjun Panesar 2020-12-15T14:05:55Z 置信度 0.79 fielddata sciencebig datastat.mlartificial intelligence
• Authenticating Signals Using Machine Learning
  Signal authentication is an important frontier in the rapid evolution of digital security. This research explores the integration of machine learning and steganography techniques and highlights their important role in improving signal authentication. Machine l…
  crossref Aditya Anand, Aniket Khartade, Ankit Maurya, S.K. Moon 2025-05-23T17:02:44Z 置信度 0.82 computer sciencecomputer securityartificial intelligenceinternet of thingscloud computing
• "Reducing Carbon Emissions in Model Training: EcoConscious Machine Learning"
  As the demand for computational resources in machine learning continues to grow, so too does the environmental impact associate with model training. This paper addresses the urgent need for eco-conscious practices in machine learning by proposing strategies to…
  crossref Nabya kumari, Diganta Bhattacharyya 2026-06-18T11:06:12Z 置信度 0.82 greenhouse gasenvironmental economicssustainabilitycarbon fibersrenewable energy
• Inference for the Generalization Error
  crossref Claude Nadeau, Yoshua Bengio 2003-09-12T17:07:28Z 置信度 0.55
• Hybrid deep learning and GARCH-family models for forecasting volatility of cryptocurrencies
  The combination of Deep Learning and GARCH-type models has been proved to be superior to the single models in forecasting of volatility in various markets such as energy, main metals, and especially stock markets. To verify this hypothesis for cryptocurrencies…
  crossref Bahareh Amirshahi, Salim Lahmiri 2023-04-10T01:53:03Z 置信度 0.76 cs.lgartificial intelligencemachine learningdeep learningconvolutional neural network
• Machine Learning-Based Stroke Prediction Using Clinical Feature Engineering and Cost-Sensitive Learning
  Stroke prediction using machine learning faces severe class imbalance (19.52:1) and asymmetric misclassification costs in highly imbalance datasets. We developed eight WHO/CDC/ADA-validated features and systematically evaluated 18 model configurations comprisi…
  crossref Vaibhav Chandrakar, Yogesh Kumar Soni, T. Sahil Rao, Divya Soni 2026-02-25T20:55:03Z 置信度 0.82 medicinebiological sciences not elsewhere classifiedbiotechnologycomputer and information sciencescancer
• Sensor Cloud Intrusion Detection Based on Discrete Optimization Algorithm and Machine Learning
  In the development process of the Internet, computer technology and network communication have been rapidly applied.Network security has become a research focus.Based on the discrete cloud intrusion detection method, through sensing a large number of data sign…
  crossref 2023-02-06T01:57:18Z 置信度 0.79 computer sciencedistributed computingnetworking and internet architecturecloud computingkey
• The Induction of Dynamical Recognizers
  crossref Jordan B. Pollack 2003-04-04T16:55:36Z 置信度 0.55
• Understanding Machine Learning Opportunities
  crossref Parag Kulkarni 2017-03-30T03:10:26Z 置信度 0.63
• Deep echo state networks in data marketplaces
  Data Marketplaces are the digital platform for data buyers and data sellers to trade information as valuable products or items. The expectation taken for granted from the users of a data marketplace is the truth of the exchanged information. However, the trade…
  crossref Will Serrano 2023-02-22T02:36:36Z 置信度 0.76 computer scienceartificial intelligencebig datacs.lgai safety
• Inversely designed free-form plasmonics with machine learning
  Machine learning has enabled a paradigm shift in the discovery and development of structured photonic materials and devices. Here, we report a diverse set of inversely designed plasmonic structures, devices, and systems for wavefront control, imaging, computin…
  crossref Wenshan Cai 2026-05-27T18:24:57Z 置信度 0.82 generative grammarwearable computerphotonicsnanotechnologycs.ai
• Implementing Valiant's Learnability Theory Using Random Sets
  crossref E.M. Oblow 2003-04-04T16:55:36Z 置信度 0.55
• Machine Learning Architectures for Pedagogical Data-Driven Teaching, Learning, and Assessment
  The rapid evolution of the modern world necessitates continuous nurturing of knowledge and skills. Conventional instructional strategies, which often rely on lectures with students as passive listeners, don’t always produce the learning sought, nor do they eff…
  crossref R. Kanniga Devi, P.K.A. Chitra, Sriram Chakaravarthy Srinivasan 2026-04-13T07:45:45Z 置信度 0.82 computer scienceartificial intelligencecs.aipsychologyknowledge management
• Enhancing breast cancer detection accuracy through machine learning, deep learning and transfer learning techniques for clinical practice
  Abstract Breast cancer is a pervasive global health concern, impacting millions of women worldwide. Timely detection and precise diagnosis are pivotal factors in improving patient outcomes. This review presents a comprehensive analysis of machine learning (ML)…
  crossref Jothi Ganesan, Vaanpriya Krishnan, Thirumalaisamy Rathinavel, K. S. Shalini 等 2025-12-11T13:15:55Z 置信度 0.82 artificial intelligencecomputer sciencemedicinemachine learningconvolutional neural network
• Lower Bound Methods and Separation Results for On-Line Learning Models
  crossref Wolfgang Maass, György Turán 2003-04-04T16:55:36Z 置信度 0.58
• Forgetting Exceptions is Harmful in Language Learning
  crossref Walter Daelemans, Antal Van Den Bosch, Jakub Zavrel 2002-12-22T05:04:10Z 置信度 0.61
• Medicine: Applications of Machine Learning
  crossref 2012-02-07T13:44:39Z 置信度 0.63
• Machine Learning
  crossref L. G. Valiant 2017-09-05T15:02:27Z 置信度 0.63
• The glim for surgical patients and machine learning analysis to predict complications
  crossref J.R. Henrique, R.G. Pereira, C.N. Rodrigues, Á.R.S. Ferreira 等 2020-11-09T21:54:01Z 置信度 0.64
• Using a stepwise approach to simultaneously develop and validate machine learning based prediction models
  Accurate diagnosis of a disease is essential in healthcare. Prediction models, based on classical regression techniques, are widely used in clinical practice. Machine Learning (ML) techniques might be preferred in case of a large amount of data per patient and…
  crossref M. Haalboom, S. Kort, J. van der Palen 2021-06-19T10:54:48Z 置信度 0.79 medicinecomputer scienceartificial intelligencemedical physicscs.lg
• A comprehensive survey on machine learning applications for drilling and blasting in surface mining
  Drilling and blasting operations are pivotal for productivity and safety in hard rock surface mining. These operations are restricted due to complexities such as site-specific uncertainties, safety risks, and environmental and economic constraints. Machine Lea…
  crossref Venkat Munagala, Srikanth Thudumu, Irini Logothetis, Sushil Bhandari 等 2023-12-11T17:02:31Z 置信度 0.79 computer and information sciencescomputer sciencebusinesssustainabilitydata science
• 4. From classical to quantum machine learning
  In recent years, Machine Learning (ML) has started to be ubiquitously applied to practically most of the human activity domains. Although traditional, or classical machine learning (CML) approaches are useful in solving many complex tasks, there are still many…
  crossref Arit Kumar Bishwas, Ashish Mani, Vasile Palade 2020-07-10T08:08:32Z 置信度 0.79 computer sciencequantum computerquantumartificial intelligencequant-ph
• Attribute Assisted Interpretation Confidence Classification Using Machine Learning
  An attribute assisted classification deriving estimates of interpretation confidence was performed. Instantaneous and coherency attributes were used in a supervised followed by an unsupervised classification resulting in an error envelope of the interpretation…
  crossref Wolfgang Weinzierl 2018-01-23T12:20:07Z 置信度 0.78 brain-computer interfacemotor imageryelectroencephalographystat.mlbenchmark
• The Future of Machine Learning
  crossref Shyamasree Ghosh, Rathi Dasgupta 2022-05-04T17:03:22Z 置信度 0.64
• What Is Machine Learning?
  Chapter 4 starts with an introduction to machine learning (ML), with the concepts presented as simple pictorial examples that aid the reader to understand ML with ease. The relationship between artificial intelligence, machine learning and deep learning is bri…
  crossref Shriram K. Vasudevan, Nitin Vamsi Dantu, Sini Raj Pulari, T. S. Murugesh 2023-08-21T16:10:19Z 置信度 0.79 artificial intelligencemachine learningdeep learningstat.mlcs.lg
• Risk-Guided Screening for Atrial Fibrillation Using Electronic Health Records.
  Screening for atrial fibrillation (AF) on the basis of AF risk may be more effective. We aimed to develop, externally validate, and prospectively test a machine learning prediction model using electronic health records (EHRs) to guide AF screening.
  pubmed Nadarajah R, Wu J, Wahab A, Reynolds C 等 2026 Aug 25 置信度 0.93 medlineinternal medicinepopulationintensive care medicinestat.ml
• Single-Cell Dissection of the Immune Microenvironment in Intrahepatic Metastasis of Multifocal Hepatocellular Carcinoma.
  Intrahepatic metastasis in multifocal hepatocellular carcinoma is associated with poor prognosis and therapeutic resistance, yet the immune mechanisms driving disease progression remain unclear. Here, we analyzed genetic and immune differences between primary …
  pubmed Xu Y, Zhang C, Ji Z, Liu C 等 2026 置信度 0.96 medicinebiologybiological sciences not elsewhere classifiedgeneticscancer
• Artificial Intelligence integration and health system performance: effects on diagnostic accuracy, operational efficiency, and workforce outcomes in medical imaging departments.
  The rapid digitalization of healthcare has positioned Artificial Intelligence (AI) as a key driver of transformation in medical imaging. While its technical capabilities are well established, evidence on its real-world impact on departmental performance and wo…
  pubmed Aljibali AS 2026 置信度 0.93 knowledge managementtransformative learningengineering ethicstransparencyworkflow
• Artificial intelligence, autism care, and health equity: a public health narrative review.
  Autism spectrum disorder (ASD) is a common, lifelong neurodevelopmental condition whose recorded prevalence, diagnostic delays, and uneven distribution of specialist services create a growing public health challenge. Conventional screening and diagnostic pathw…
  pubmed Han X, Weng L, Xu H 2026 置信度 0.96 psychologymedicinehealth carescience policyartificial intelligence
• An integrated, wearable, tubeless micro-negative pressure system for closed incision management: a translational preclinical and clinical study.
  Closed incision management remains a challenge in postoperative care, largely due to the difficulty of maintaining a stable wound microenvironment in routine clinical practice. Although negative pressure therapy has demonstrated clinical benefits, its real-wor…
  pubmed Ti Y, Yue J, Cao X, Chen R 等 2026 置信度 0.91 psychological interventionmedicinemedical educationrehabilitationintensive care medicine
• Advancing Tumor Treatment Through Artificial Intelligence and Mathematical Modeling: A Comprehensive Review.
  Solid tumors emerge from uncontrolled cell division and interactions with neighboring cells that influence their growth and resistance to therapy. Anti-cancer drugs are developed to disrupt these processes, but they often damage healthy cells, making treatment…
  pubmed Kamran M, Majeed A, Haque ASMR, Abdullah JY 2026 Aug 置信度 0.96 medicinecancerneuroscienceintensive care medicinedata science
• Pleuroparenchymal fibroelastosis-like findings identify an idiopathic pulmonary fibrosis subgroup with shortened telomeres and poor prognosis.
  Idiopathic pulmonary fibrosis (IPF) is a progressive fibrosing interstitial lung disease (ILD) with poor prognosis. Radiological pleuroparenchymal fibroelastosis (PPFE)-like findings, characterised by upper-lobe subpleural fibrosis, have been associated with w…
  pubmed Otoshi R, Kitamura H, Niwa T, Murohashi K 等 2026 Jul 置信度 0.86 medicineinternal medicinediseaseneuroimagingbiotechnology
• Diagnosis and treatment progress of upper eyelid abnormalities in thyroid-eye disease.
  Thyroid eye disease (TED) is the most common orbital disorder among adults. Among its many clinical features, upper eyelid abnormalities-namely, retraction, lid lag, and swelling-frequently cause functional and cosmetic problems. This article reviews current k…
  pubmed Gai C, Wang B 2026 置信度 0.96 medicinepsychologycognitionpsychological interventionintensive care medicine
• Development and validation of a prognostic model for stage IV breast cancer based on primary tumor resection with machine learning methods: retrospective cohort study.
  Primary Tumor Resection (PTR) remains controversial among women with stage IV breast cancer.
  pubmed Wang Y, Hou J, Chen X, Zhu H 等 2026 置信度 0.84
• Evolving landscape of imaging-based evaluation in systemic autoimmune rheumatic disease-associated interstitial lung disease: from visual assessment to quantitative artificial intelligence-assisted evaluation.
  Interstitial lung disease (ILD) is a major driver of morbidity and mortality across systemic autoimmune rheumatic diseases (SARDs), with systemic sclerosis-associated ILD (SSc-ILD) providing the most extensive evidence base. In this context, progressive pulmon…
  pubmed Chang SH, McDermott GC, Lee YA, Kang EH 等 2026 Apr 1 置信度 0.96 medicinebiologybiological sciences not elsewhere classifiedcs.aidisease
• Consumer Health Information: A Narrative Review.
  Consumer Health Information (CHI) encompasses the dissemination of information and the cultivation of appropriate attitudes toward healthcare, as well as specific professional skills, aimed at altering behaviors and enhancing the health status of consumers. Th…
  pubmed Dehnavi MJ, Peyman N, Mansourzadeh MJ, Amiri P 等 2026 置信度 0.96 health caremedical educationpsychologypsychological interventionsocial and behavioral sciences
• Diagnostic Accuracy of Artificial Intelligence in Predicting Admission Status, Intensive Care Requirements, and Mortality in the Emergency Department: A Systematic Review and Meta-Analysis.
  Predicting patient outcomes in the emergency department is crucial for effective resource management and enhancing the quality of care. Recent advancements in artificial intelligence have facilitated accurate predictions of patient outcomes; however, consisten…
  pubmed Hosseini Kasnavieh SM, Shaker SH, Milanifard M, Hessam R 等 2026 置信度 0.96 medicinehealth caremedical physicsintensive care medicineinternal medicine
• Prevalence and Content of Generative Artificial Intelligence Use Policies in Iranian Medical Science Journals.
  The rapid growth of generative artificial intelligence (AI) tools has created new opportunities for scientific publishing while also introducing challenges related to research integrity and editorial ethics. Although awareness of these opportunities and challe…
  pubmed Alipour-Tehrani M, Hojati SM, Arshadi H, Erfanmanesh M 2026 置信度 0.96 generative grammardata scienceengineering ethicsknowledge managementpsychology
• Fully automated deep learning MAPSE: retrospective analysis and real-time clinical application.
  Mitral annular plane systolic excursion (MAPSE) is an accessible echocardiographic measure of left ventricular (LV) function. However, manual measurement methods are operator-dependent and time-consuming. We developed a multistep deep learning (DL) method for …
  pubmed Haga MM, Katla NL, Holmstrøm V, Holte E 等 2026 Jan 置信度 0.96 convolutional neural networkcs.ceinternal medicineeess.ivcloud computing
• Development of an Iranian Clinical Guideline on Perioperative Exercise Therapy for Metabolic and Bariatric Surgery: A Delphi Consensus Study Using the AGREE II Framework.
  This guidance aims to advance current understanding of the benefits of exercise therapy and to present an exercise protocol for the preoperative and postoperative periods surrounding metabolic and bariatric surgery (MBS).
  pubmed Nejati P, Kabir A, Mazaherinezhad A, Dadgostar H 等 2026 Jul 31 置信度 0.89 medicine and health sciencesneuromorphic computingcomputational neurosciencesocial and behavioral sciencesai governance
• Engineering safety into AI-assisted music medicine for headache management: a transparent guardrail framework.
  While generative artificial intelligence enables large-scale, individualized, and digitally scalable interventions, its deployment introduces model instability and algorithmic reasoning errors. To ensure patient safety, the next frontier for AI-assisted music …
  pubmed Luo X, Pei Z, Yin AJ 2026 置信度 0.93 generative grammarmedical educationcs.aimedicinemedical physics
• Machine learning approach for predicting the severity risk of obstructive sleep apnea syndrome.
  Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) has a high global prevalence and is prone to causing various serious complications. Our objective is to develop severity stratification of OSAHS by integrating multiple commonly available clinical features base…
  pubmed Wang Q, Yang X, Xu S, Wu H 等 2026 置信度 0.93 cancerbiotechnologypharmacologystat.apstat.ml
• Third-party governance and artificial intelligence for diabetes management in primary health care, China.
  Fragmented primary health care in China fails to tackle the growing burden of noncommunicable diseases. Despite substantial investment, fewer than half of patients with diabetes achieve glycaemic control.
  pubmed Tang W, Peng Q, Li M, Zheng N 等 2026 Aug 1 置信度 0.93 internal medicineintensive care medicinediseasemedlinehealth care
• Selective enhancement of cost sensitivity by methylphenidate in adult ADHD: a randomized placebo-controlled trial.
  Attention-deficit hyperactivity disorder (ADHD) is associated with impairments in real-life decisions, many involving balancing costs and benefits. Increasing dopamine and norepinephrine with stimulant medication improves decision-making in ADHD. However, it i…
  pubmed Pedersen ML, Mowinckel AM, Ziegler S, Fredriksen M 等 2026 Jul 28 置信度 0.91 social and behavioral sciencesmotor imagerymulti-agent systemspopulationai safety
• Emerging diagnostic strategies in neonatal cholestasis: toward earlier and more accurate identification of biliary atresia.
  Timely diagnosis of biliary atresia remains critical in infants with neonatal cholestasis, as delays in recognition are associated with reduced native liver survival and poorer outcomes following hepatoportoenterostomy. However, distinguishing biliary atresia …
  pubmed Nonga D, Hartjes K, Lakhani A, Wawrzyniak A 等 2026 Jul 23 置信度 0.91 medicineintensive care medicinediseaseinternal medicinepsychological intervention
• Tissue Biology and the Biomechanics of Modern Gastrointestinal Stapling: Principles for Successful Surgical Stapling.
  BackgroundThe integration of gastrointestinal (GI) tissue biology with modern stapler mechanics remains a critical gap in optimizing surgical outcomes. There have been many advancements in surgical technology that attempt to optimize underlying tissue mechanob…
  pubmed Bagnati C, Lee A, Ortiz J 2026 Jul 28 置信度 0.96 medicinemedlinesystematic reviewmedical physicsbiotechnology
• Screening efficiency over experience: Rapid target detection in low-power field as a modifiable cognitive biomarker for diagnostic accuracy in digital cytology.
  Traditionally, cytology expertise has been equated with professional experience. However, the transition to whole-slide imaging and artificial intelligence (AI) necessitates a shift from exhaustive screening to rapid verification. The goal of this study was to…
  pubmed Abe N, Nishimura Y, Yamashita K, Kawamorita T 等 2026 Aug 置信度 0.93 psychologymedicinemedlinemedical physicsmedical education
• The role of pollen monitoring in allergology and otolaryngology: from environmental exposure assessment to personalized patient care.
  <p><strong>Introduction:</strong> Pollen monitoring plays an important role in modern allergy care.<br />Quantitatively determining airborne pollen concentrations serves as a clinically relevant<br…
  pubmed Lipiec A, Rapiejko J, Jurkiewicz D 2026 Jul 21 置信度 0.96 medicinecomputer sciencehealth caredata sciencepsychology
• AI-Assisted Decision-Support Framework for Breast Density and Background Parenchymal Enhancement Assessment in Contrast-Enhanced Mammography.
  Interobserver variability in breast density and Background Parenchymal Enhancement (BPE) assessment remains a major limitation in Contrast- Enhanced Mammography (CEM) reporting consistency. Building on the BPE-CEM Standard Scale (BCSS) framework introduced in …
  pubmed Di Grezia G, Nazzaro A, Schiavone L, Cisternino E 等 2026 Jul 22 置信度 0.96 medical physicsai governanceinternal medicinecancerinterpretability
• Integrating AI in Cardiovascular Systems: Innovations in Diagnosis, Risk Prediction, and Management.
  Worldwide, cardiovascular diseases remain the leading contributors to illness and death, which hinders rapid diagnosis and efficient treatment. Recent developments in artificial intelligence (AI) have transformed cardiovascular medicine by enabling the integra…
  pubmed Patil SB, Patil YP, Patil KS, Bandaru N 等 2026 Jul 23 置信度 0.96 medicinecomputer scienceartificial intelligencehealth caredata science
• Molecular Imaging in Pancreatic Cancer: Current Applications and Future Perspectives.
  Pancreatic cancer ranks among the most lethal malignancies, characterized by a five-year survival rate of approximately 10%. This dismal prognosis is largely attributable to diagnoses occurring at advanced stages and the inherent limitations of conventional im…
  pubmed Liu Y, Lan K, Sun Z, Huang W 2026 Jul 13 置信度 0.96 medicinecancerneurosciencedata sciencemedical physics
• Pharmaceutical Compounding as a Pillar of Personalized Oncology: Current Applications, Emerging Technologies, and Future Perspectives.
  Personalized oncology is transforming cancer care by tailoring therapeutic strategies to the molecular and clinical characteristics of individual patients. However, increasing treatment complexity, interpatient variability, and the growing use of advanced ther…
  pubmed Mascarenhas-Melo F, Pinheiro R, Victor F, Pina ME 等 2026 Jul 13 置信度 0.96 medicinehealth caremedlinescience policymedical physics
• Fluoroquinolone Exposure and Cancer Risk in Interstitial Lung Disease: A Propensity-Score-Matched Cohort Study Using Cox and Competing-Risk Models.
  Background: This study aimed to comprehensively investigate the complex association between the use of fluoroquinolone (FQ) antibiotics and cancer risk, with a specific focus on patients with interstitial lung disease (ILD)-a unique clinical population charact…
  pubmed Sun YF, Chiu YT, Ko YE, Huang YW 等 2026 Jul 10 置信度 0.91 medicineinternal medicinecancerpsychologybiotechnology