医疗人工智能 · 全部实体（第 8 / 97 页）

本页收录第 701–800 条，共 9674 条 · 返回 医疗人工智能 首页

• ARTIFICIAL INTELLIGENCE AND PRECISION MEDICINE IN PARKINSON'S DISEASE: EMERGING DIAGNOSTIC AND THERAPEUTIC APPROACHES
  Background: Parkinson's disease (PD) is heterogeneous, both clinically, genetically and neuropathologically, which presents ongoing challenges for conventional syndromic clinical diagnostic criteria and uniform treatments. Recent advances in biofluid biomarker…
  datacite Payal Patidar, Soma Sekhar Pulamarasetti*, Omkar Rai, Karan Gupta¹, Shivlal Yadav 2026 置信度 0.77 medicinecomputer scienceartificial intelligencedata sciencedisease
• BIOMARKERS DISCOVERY IN TYPE 2 DIABETES MELLITUS: FROM OMICS TECHNOLOGIES TO CLINICAL PRACTICE
  Background: Type 2 diabetes mellitus (T2DM) is caused by complex pathophysiological processes including progressive insulin resistance, pancreatic β-cell dysfunction, chronic systemic inflammation and altered interorgan metabolic communication1. The ability of…
  datacite Manisha, Soma Sekhar Pulamarasetti*, Omkar Rai, Karan Gupta, Shivlal Yadav 2026 置信度 0.77 medicinediseasebiological sciences not elsewhere classifiedmedlinecancer
• BIOMARKERS DISCOVERY IN TYPE 2 DIABETES MELLITUS: FROM OMICS TECHNOLOGIES TO CLINICAL PRACTICE
  Background: Type 2 diabetes mellitus (T2DM) is caused by complex pathophysiological processes including progressive insulin resistance, pancreatic β-cell dysfunction, chronic systemic inflammation and altered interorgan metabolic communication1. The ability of…
  datacite Manisha, Soma Sekhar Pulamarasetti*, Omkar Rai, Karan Gupta, Shivlal Yadav 2026 置信度 0.77 medicinediseasebiological sciences not elsewhere classifiedmedlinecancer
• Artificial Intelligence in Clinical Pharmacy: Current Applications, Challenges, and Future Perspectives – A Narrative Literature Review
  Background Artificial intelligence (AI) is rapidly transforming healthcare by enabling the analysis of large and complex datasets and supporting clinical decision-making. Clinical pharmacy is an emerging area in which AI can assist with medication management, …
  datacite Dr. Keerthika R* 2026 置信度 0.76 Artificial intelligence; clinical pharmacy; machine learning; generative AI; ChatGPT; medication safety; pharmacovigilance; clinical decision support; personalized medicine; pharmacy practice.
• Artificial Intelligence in Clinical Pharmacy: Current Applications, Challenges, and Future Perspectives – A Narrative Literature Review
  Background Artificial intelligence (AI) is rapidly transforming healthcare by enabling the analysis of large and complex datasets and supporting clinical decision-making. Clinical pharmacy is an emerging area in which AI can assist with medication management, …
  datacite Dr. Keerthika R* 2026 置信度 0.76 Artificial intelligence; clinical pharmacy; machine learning; generative AI; ChatGPT; medication safety; pharmacovigilance; clinical decision support; personalized medicine; pharmacy practice.
• Enfoque diagnóstico de las asincronías paciente-ventilador en pacientes en estado crítico: Scoping review
  This scoping review identifies that automated systems based on machine learning represent a promising direction in the study of PVA. The literature suggests their potential to deliver accurate, real-time classification, enhancing clinical decision-making and i…
  datacite Julian Cortes 2026 置信度 0.77 Medicine and Health SciencesMedical SpecialtiesCritical Care
• Computational models of seizure activity and brain state dynamics in epilepsy
  Epilepsy is a prevalent neurological disorder characterized by recurrent spontaneous seizures, whose occurrence varies substantially both between and within individuals. This variability is increasingly understood to be structured by underlying circadian and u…
  datacite Chybowski, Bartłomiej Szymon 2026 置信度 0.79 epileptic seizuresseizure detectionEEG recordingscomputational modelsrhythm information
• Shahram-Bioinfo/HLA-I-Multiomics-HCC: HLA-I Multiomics HCC Analysis - Initial Release
  This release contains the full analysis pipeline for: "HLA Class I Expression and Ratios as Diagnostic and Predictive Biomarkers in Hepatocellular Carcinoma: A Multi-Omics Study" Includes: Allele-specific analysis Neoantigen prediction (netMHCpan pipeline) Cli…
  datacite Shahram Aliyari 2026 置信度 0.77 drug discoveryq-bio.gninterpretabilitybioinformaticsworkflow
• Shahram-Bioinfo/HLA-I-Multiomics-HCC: HLA-I Multiomics HCC Analysis - Initial Release
  This release contains the full analysis pipeline for: "HLA Class I Expression and Ratios as Diagnostic and Predictive Biomarkers in Hepatocellular Carcinoma: A Multi-Omics Study" Includes: Allele-specific analysis Neoantigen prediction (netMHCpan pipeline) Cli…
  datacite Shahram Aliyari 2026 置信度 0.77 drug discoveryq-bio.gninterpretabilitybioinformaticsworkflow
• Explainable AI-Based Disease Prediction using IoT Sensors for Smart Healthcare Systems
  The rapid growth of chronic diseases and the increasing demand for remote healthcare services have accelerated the adoption of Artificial Intelligence (AI) and Internet of Things (IoT) technologies in smart healthcare environments. Conventional healthcare syst…
  datacite Dhulipalla Rajesh Kumar, Alla Sambasiva Rao 2026 置信度 0.77 computer scienceartificial intelligencehealth caredata sciencetransparency
• Explainable AI-Based Disease Prediction using IoT Sensors for Smart Healthcare Systems
  The rapid growth of chronic diseases and the increasing demand for remote healthcare services have accelerated the adoption of Artificial Intelligence (AI) and Internet of Things (IoT) technologies in smart healthcare environments. Conventional healthcare syst…
  datacite Dhulipalla Rajesh Kumar, Alla Sambasiva Rao 2026 置信度 0.77 computer scienceartificial intelligencehealth caredata sciencetransparency
• Development and internal validation of a machine learning-based disease burden index for irritable bowel syndrome: a multicentre cross-sectional study
  Irritable bowel syndrome (IBS) is one of the most common disorders of gut-brain interaction in gastroenterology clinics worldwide, becoming a significant public health burden. This study aims to provide an exploratory approach for comprehensive assessment of I…
  datacite Yanbin Wei, Heyang Zhang, Nan Wang, Haifeng Jin 等 2026 置信度 0.77 MedicineImmunologyBiological Sciences not elsewhere classifiedScience PolicyHematology
• Development and internal validation of a machine learning-based disease burden index for irritable bowel syndrome: a multicentre cross-sectional study
  Irritable bowel syndrome (IBS) is one of the most common disorders of gut-brain interaction in gastroenterology clinics worldwide, becoming a significant public health burden. This study aims to provide an exploratory approach for comprehensive assessment of I…
  datacite Yanbin Wei, Heyang Zhang, Nan Wang, Haifeng Jin 等 2026 置信度 0.77 MedicineImmunologyBiological Sciences not elsewhere classifiedScience PolicyHematology
• Synthetic Medical Records Using Generative Adversarial Networks (GANs)
  The quick data driven technology adoption of the health care sector has extinguished the notion that we require large volumes and superiorities of medical data to drive the machine learning, predictive analytics and clinical decision support systems. Simultane…
  datacite Pooja Dhankade, Dr. Pravin Kumar Malviya 2026 置信度 0.77 computer sciencehealth caredata scienceartificial intelligencebig data
• Synthetic Medical Records Using Generative Adversarial Networks (GANs)
  The quick data driven technology adoption of the health care sector has extinguished the notion that we require large volumes and superiorities of medical data to drive the machine learning, predictive analytics and clinical decision support systems. Simultane…
  datacite Pooja Dhankade, Dr. Pravin Kumar Malviya 2026 置信度 0.77 computer sciencehealth caredata scienceartificial intelligencebig data
• mlrivera123/LLM-Framework-for-Ranked-Diagnosis-Suggestion: Aligning AI with Clinical Workflow: A Probabilistic LLM Framework for Ranked Diagnosis Suggestion from Unstructured Clinical Notes
  Clinical notes are a form of unstructured data that contain a wealth of information such as patient symptoms, disease trajectory and management. While they are the most versatile and informative healthcare data, their annotation for machine learning requires s…
  datacite Max Rivera 2026 置信度 0.77 computer sciencedata sciencecs.lgartificial intelligencelarge language models
• mlrivera123/LLM-Framework-for-Ranked-Diagnosis-Suggestion: Aligning AI with Clinical Workflow: A Probabilistic LLM Framework for Ranked Diagnosis Suggestion from Unstructured Clinical Notes
  Clinical notes are a form of unstructured data that contain a wealth of information such as patient symptoms, disease trajectory and management. While they are the most versatile and informative healthcare data, their annotation for machine learning requires s…
  datacite Max Rivera 2026 置信度 0.77 computer sciencedata sciencecs.lgartificial intelligencelarge language models
• A Machine Learning-Based Raman Spectroscopic Assay for the Identification of Burkholderia mallei and Related Species
  Burkholderia (B.) mallei, the causative agent of glanders, and B. pseudomallei, the causative agent of melioidosis in humans and animals, are genetically closely related. The high infectious potential of both organisms, their serological cross-reactivity, and …
  datacite Silge, Anja, Moawad, Amira A., Bocklitz, Thomas, Fischer, Katja 等 2019 置信度 0.76 540Burkholderia malleiBurkholderia pseudomalleiGlandersHeat inactivation
• Predictive Modeling of Antibiotic Susceptibility in E. Coli Strains Using the U-Net Network and One-Class Classification
  The antibiotic resistance of bacterial pathogens has become one of the most serious global health issues due to misusing and overusing of antibiotics. Recently, different technologies were developed to determine bacteria susceptibility towards antibiotics; how…
  datacite Ali, Nairveen, Kirchhoff, Johanna, Onoja, Patrick Igoche, Tannert, Astrid 等 2020 置信度 0.76 004621.3E. coli strainsAntibiotic resistanceOne-class SVM
• Semantic segmentation of non-linear multimodal images for disease grading of inflammatory bowel disease: A segnet-based application
  Non-linear multimodal imaging, the combination of coherent anti-stokes Raman scattering (CARS), two-photon excited fluorescence (TPEF) and second harmonic generation (SHG), has shown its potential to assist the diagnosis of different inflammatory bowel disease…
  datacite Pradhan, Pranita, Meyer, Tobias, Vieth, Michael, Stallmach, Andreas 等 2019 置信度 0.76 610004Inflammatory Bowel DiseaseNon-linear Multimodal ImagingSemantic Segmentation
• Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT)
  Social interaction deficits are evident in many psychiatric conditions and specifically in autism spectrum disorder (ASD), but hard to assess objectively. We present a digital tool to automatically quantify biomarkers of social interaction deficits: the simula…
  datacite Drimalla, Hanna, Scheffer, Tobias, Landwehr, Niels, Baskow, Irina 等 2020 置信度 0.76 610audio recordingautismcomparative studyelectromyogram
• Calibrating mini-mental state examination scores to predict misdiagnosed dementia patients
  Mini-Mental State Examination (MMSE) is used as a diagnostic test for dementia to screen a patient’s cognitive assessment and disease severity. However, these examinations are often inaccurate and unreliable either due to human error or due to patients’ physic…
  datacite Vyas, Akhilesh, Aisopos, Fotis, Vidal, Maria-Esther, Garrard, Peter 等 2021 置信度 0.76 600610ClassificationDementiaMachine learning
• Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records
  Background: Dementia develops as cognitive abilities deteriorate, and early detection is critical for effective preventive interventions. However, mainstream diagnostic tests and screening tools, such as CAMCOG and MMSE, often fail to detect dementia accuratel…
  datacite Vyas, Akhilesh, Aisopos, Fotis, Vidal, Maria-Esther, Garrard, Peter 等 2022 置信度 0.76 610CAMCOGData scienceDementiaLIME
• A Review on Data Fusion of Multidimensional Medical and Biomedical Data
  Data fusion aims to provide a more accurate description of a sample than any one source of data alone. At the same time, data fusion minimizes the uncertainty of the results by combining data from multiple sources. Both aim to improve the characterization of s…
  datacite Azam, Kazi Sultana Farhana, Ryabchykov, Oleg, Bocklitz, Thomas 2022 置信度 0.76 540computed tomographydata fusiondeep learningfluorescence lifetime imaging microscopy
• Cognitive Computing and Advanced AI Systems
  We stand at a pivotal moment in technological history, defined not by isolated breakthroughs, but by the powerful convergence of four foundational paradigms: the Internet of Things (IoT), Blockchain, Artificial Intelligence (AI), and Machine Learning (ML). For…
  datacite Dr Jayaram C V, Archana Das, Dr. Niranjan KR, Arun Kashyap 等 2026 置信度 0.77 computer scienceartificial intelligencedata scienceengineeringcloud computing
• Cognitive Computing and Advanced AI Systems
  We stand at a pivotal moment in technological history, defined not by isolated breakthroughs, but by the powerful convergence of four foundational paradigms: the Internet of Things (IoT), Blockchain, Artificial Intelligence (AI), and Machine Learning (ML). For…
  datacite Dr Jayaram C V, Archana Das, Dr. Niranjan KR, Arun Kashyap 等 2026 置信度 0.77 computer scienceartificial intelligencedata scienceengineeringcloud computing
• Wearable AI Systems for Health Prediction
  Wearable AI systems integrate miniaturised biosensors with on-device or cloud-based machine learning to enablecontinuous, real-time health prediction from passively collected physiological signals. Advances in edge computing,energy-efficient neural network arc…
  datacite Marco Hansen, Pierre Jensen 2023 置信度 0.73 wearable AI; health prediction; continuous monitoring; federated learning; cardiovascular risk; sleep apnoea; hypoglycaemia prediction; edge AI
• Wearable AI Systems for Health Prediction
  Wearable AI systems integrate miniaturised biosensors with on-device or cloud-based machine learning to enablecontinuous, real-time health prediction from passively collected physiological signals. Advances in edge computing,energy-efficient neural network arc…
  datacite Marco Hansen, Pierre Jensen 2023 置信度 0.73 wearable AI; health prediction; continuous monitoring; federated learning; cardiovascular risk; sleep apnoea; hypoglycaemia prediction; edge AI
• Vaccine Development and The Role of Artificial Intelligence
  Artificial Intelligence (AI) has become a transformative technology in modern pandemic preparedness and response, enabling significant advances across public health, epidemiology, diagnostics, and vaccine research. This review explores the broad applications o…
  datacite Thota. Srinivas Rao, Dr. T. Thangabalan, D. Akash*, R. Pishan, T. Devi Sowjanya 2026 置信度 0.76 Artificial Intelligence (AI), transformative technology, modern pandemic preparedness and response
• Vaccine Development and The Role of Artificial Intelligence
  Artificial Intelligence (AI) has become a transformative technology in modern pandemic preparedness and response, enabling significant advances across public health, epidemiology, diagnostics, and vaccine research. This review explores the broad applications o…
  datacite Thota. Srinivas Rao, Dr. T. Thangabalan, D. Akash*, R. Pishan, T. Devi Sowjanya 2026 置信度 0.76 Artificial Intelligence (AI), transformative technology, modern pandemic preparedness and response
• Integrated AI-based Care Model Library I
  Deliverable D3.7, titled “Integrated AI-based Care Model Library I”, consolidates the state-of-the-art (SOTA) analysis, and the methodologies explored in tasks T3.5 – “Explainable Models and Algorithms for Trustworthy AI” and T3.6 – “Integrated Care Model Libr…
  datacite Tsitiridis, Aristeidis, Tsolis, Dimitrios, Lykothanasi, Kalliopi Klelia, Tsoukalos, Dimitrios 等 2026 置信度 0.77 XAIICLMEXPLANAIBLE AIIntegrated Care Model Library
• Integrated AI-based Care Model Library I
  Deliverable D3.7, titled “Integrated AI-based Care Model Library I”, consolidates the state-of-the-art (SOTA) analysis, and the methodologies explored in tasks T3.5 – “Explainable Models and Algorithms for Trustworthy AI” and T3.6 – “Integrated Care Model Libr…
  datacite Tsitiridis, Aristeidis, Tsolis, Dimitrios, Lykothanasi, Kalliopi Klelia, Tsoukalos, Dimitrios 等 2026 置信度 0.77 XAIICLMEXPLANAIBLE AIIntegrated Care Model Library
• APPLIED MATHEMATICS FOR REAL-WORLD PROBLEM SOLVING
  The modern world runs on data, algorithms, and continuous optimization. From the smartphone applications that route daily traffic to the machine learning frameworks powering global industries, the foundational engine driving these advancements is applied mathe…
  datacite Dr. Malabika Adak, Dr. Gauri Ghule, Mr. Dnyaneshwar P. Bawane, Dr.(Mrs.) Anushree A. Aserkar 等 2026 置信度 0.77 computer scienceartificial intelligencecs.lgengineeringpsychology
• APPLIED MATHEMATICS FOR REAL-WORLD PROBLEM SOLVING
  The modern world runs on data, algorithms, and continuous optimization. From the smartphone applications that route daily traffic to the machine learning frameworks powering global industries, the foundational engine driving these advancements is applied mathe…
  datacite Dr. Malabika Adak, Dr. Gauri Ghule, Mr. Dnyaneshwar P. Bawane, Dr.(Mrs.) Anushree A. Aserkar 等 2026 置信度 0.77 computer scienceartificial intelligencecs.lgengineeringpsychology
• APPLIED MATHEMATICS FOR REAL-WORLD PROBLEM SOLVING
  The modern world runs on data, algorithms, and continuous optimization. From the smartphone applications that route daily traffic to the machine learning frameworks powering global industries, the foundational engine driving these advancements is applied mathe…
  datacite Dr. Malabika Adak, Dr. Gauri Ghule, Mr. Dnyaneshwar P. Bawane, Dr.(Mrs.) Anushree A. Aserkar 等 2026 置信度 0.77 computer scienceartificial intelligencecs.lgengineeringpsychology
• Wearable sensors and Machine Learning to automatically assess dystonia and chorea [Protocol Scoping Review]
  This scoping review aims to map the current literature on the integration of wearable sensors and machine learning techniques for the automated detection and severity assessment of dystonia and chorea. Following the PRISMA-ScR guidelines, this protocol outline…
  datacite Sonia Pianzi, Marte Apers, Marie Heymans, Jean-Marie Aerts 等 2026 置信度 0.79 Other Rehabilitation and TherapyBiomedical Devices and InstrumentationBiomedicalComputer EngineeringMedicine and Health Sciences
• ROLE OF ARTIFICIAL INTELLIGENCE AS A DIAGNOSTIC TOOL IN FUNCTIONAL ABDOMINAL PAIN IN CHILDREN
  Functional Abdominal Pain Disorders (FAPDs) account for nearly 80% of chronic abdominal pain cases in children and are diagnosed according to Rome IV criteria in the absence of identifiable organic pathology. In classical Ayurveda, this clinical spectrum may b…
  datacite Dr. Ankit Pal* and Asst. Prof. (Dr) Laxmi 2026 置信度 0.77 medicineartificial intelligencepsychologycomputer sciencemedical physics
• ROLE OF ARTIFICIAL INTELLIGENCE AS A DIAGNOSTIC TOOL IN FUNCTIONAL ABDOMINAL PAIN IN CHILDREN
  Functional Abdominal Pain Disorders (FAPDs) account for nearly 80% of chronic abdominal pain cases in children and are diagnosed according to Rome IV criteria in the absence of identifiable organic pathology. In classical Ayurveda, this clinical spectrum may b…
  datacite Dr. Ankit Pal* and Asst. Prof. (Dr) Laxmi 2026 置信度 0.77 medicineartificial intelligencepsychologycomputer sciencemedical physics
• ML-Based Cardiovascular Risk Prediction in Inflammatory Rheumatic Diseases: A Scoping Review Protocol
  1. Background Individuals with inflammatory rheumatic diseases (IRDs) - such as rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), psoriatic arthritis (PsA), ankylosing spondylitis (AS), and similar conditions- have a much higher risk of cardiovasc…
  datacite Irine Bakhutashvili, Tamuna Jatchvadze 2026 置信度 0.79 AnatomyPhysical Sciences and MathematicsDiseasesCardiologyPublic Health
• A Low-Cost AI-IoT and GSM-Enabled Pediatric Wristband for Continuous Fever Risk Assessment and Emergency Alerting
  This paper presents a low-cost pediatric wearable wristband for continuous fever-risk monitoring using temperature, heart-rate, and motion sensing. The device integrates an ESP32 controller, a DS18B20 temperature sensor, a pulse sensor, an MPU6050 acceleromete…
  datacite Ms. Gauri J. Sutar, Associate Professor Dr. Sarita V. Balshetwar, Assistant Professor Mrs. Rajani M. Mandhare 2026 置信度 0.77 medicineartificial intelligenceai governanceinternal medicinecomputer science
• A Low-Cost AI-IoT and GSM-Enabled Pediatric Wristband for Continuous Fever Risk Assessment and Emergency Alerting
  This paper presents a low-cost pediatric wearable wristband for continuous fever-risk monitoring using temperature, heart-rate, and motion sensing. The device integrates an ESP32 controller, a DS18B20 temperature sensor, a pulse sensor, an MPU6050 acceleromete…
  datacite Ms. Gauri J. Sutar, Associate Professor Dr. Sarita V. Balshetwar, Assistant Professor Mrs. Rajani M. Mandhare 2026 置信度 0.77 medicineartificial intelligenceai governanceinternal medicinecomputer science
• A Prediction of Users Repurchase Based on Machine Learning Theory
  crossref Hanzhe Zhang 2026-01-22T20:58:30Z 置信度 0.66
• Table 6: Machine learning evaluation metrics.
  crossref 2021-01-25T04:22:03Z 置信度 0.64
• Machine Learning
  Traditional books on machine learning can be divided into two groups- those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that …
  crossref Stephen Marsland 2018-07-02T10:54:57Z 置信度 0.76 cs.lgfieldstat.mlartificial neural networkinterpretability
• Drug Design with Machine Learning
  crossref 2011-08-29T16:20:21Z 置信度 0.63
• Figure 8: Machine learning model accuracy %.
  crossref 2024-11-11T03:41:02Z 置信度 0.66
• Probability Theory in Machine Learning
  crossref 2012-04-05T06:35:16Z 置信度 0.63
• Machine Learning for IT Security
  crossref 2012-02-07T13:44:39Z 置信度 0.63
• Machine Learning, Ensemble Methods in
  crossref 2011-08-29T12:20:21Z 置信度 0.63
• Figure 7: Machine Learning method result.
  crossref 2021-03-11T05:29:17Z 置信度 0.64
• Supplemental Information 2: Machine Learning Data
  crossref 2021-05-18T05:21:46Z 置信度 0.64
• Figure 5: Machine learning algorithms used.
  crossref 2019-11-11T03:57:35Z 置信度 0.64
• Figure 5: Machine learning (SVM) flowchart.
  crossref 2026-03-11T08:50:59Z 置信度 0.66
• Machine Learning Prediction for Reservoir Permeability
  This chapter explores the application of machine learning ( ML ) techniques as an efficient alternative for permeability estimation, leveraging well log data to model complex nonlinear relationships. Various ML methods are discussed and compared, including art…
  crossref Mohammed Fathy El-Amin 2026-03-06T14:09:53Z 置信度 0.82 artificial intelligencecs.lgcomputer sciencecomputer and information sciencesmachine learning
• Machine Learning
  crossref Bernd Heesen 2024-09-19T18:35:22Z 置信度 0.66
• Machine Learning as a Batch Process
  This chapter investigates using batch processing to mine and learn from larger amounts of data instead of streaming data. It covers using Hadoop, Sqoop, and Pig for large-scale batch processing; these enable large data sets to be processed with ease. The chapt…
  crossref 2015-08-19T14:37:30Z 置信度 0.78 computer sciencebig datacs.aidata sciencemathematics
• Membrane technology and machine learning
  crossref Kiran Mustafa, Mashallah Rezakazemi, Rao Muhammad Mahtab Mahboob 2025-09-27T07:16:40Z 置信度 0.66
• Introduction to machine learning and Python
  crossref Hoss Belyadi, Alireza Haghighat 2021-04-23T14:18:26Z 置信度 0.64
• Predicting Mental Health in Employees and Students Using Machine Learning and Wearable Data
  crossref Tailiang Liu 2026-07-19T13:55:48Z 置信度 0.66
• Structural health monitoring of exterior beam–column subassemblies through detailed numerical modelling and using various machine learning techniques
  Structural health monitoring of beam–column joints is paramount, as they are critical load-carrying components of reinforced concrete buildings. Evaluating the ultimate joint shear capacity and failure modes of beam–columns, especially in seismic events, is a …
  crossref Giuseppe Santarsiero, Mayank Mishra, Manav Kumar Singh, Angelo Masi 2021-10-25T21:48:10Z 置信度 0.79 computer sciencecs.lgartificial neural networkstat.mlartificial intelligence
• Predicting Thyroid Cancer Recurrence Using Machine Learning: An Artificial Intelligence Approach to Clinical Oncology
  Background of study: Differentiated thyroid cancer (DTC) accounts for most thyroid malignancies and has favorable survival outcomes, yet up to 30% of patients experience recurrence, placing strain on follow-up systems in resource-limited settings. Conventional…
  crossref Joy Aifuobhokhan, Ahmad Khalid Hussain, Chijioke Cyriacus Ekechi, Aisha Olasunbo Olanrewaju 等 2025-11-05T03:05:36Z 置信度 0.82 medicineartificial intelligencemachine learningcomputer scienceinternal medicine
• Applications of Machine Learning and Deep Learning Models in Brain Imaging Analysis
  Brain imaging is an umbrella term including many non-invasive techniques that objectively monitor brain function. Such monitoring leads to understanding how the brain works by presenting selected stimuli. More importantly, brain function monitoring allows phys…
  crossref Alwin Joseph, J Chandra, Bonny Banerjee, Madhavi Rangaswamy 等 2024-01-16T20:36:37Z 置信度 0.82 computer scienceartificial intelligencedeep learningcs.lgconvolutional neural network
• Machine Learning for Spectrum Access and Sharing
  This chapter focuses on online learning algorithms that were developed for dynamic spectrum access (DSA), in which a cognitive user aims to learn the occupancy of the spectrum in the presence of external users to improve the spectral usage. The focus is thus o…
  crossref Kobi Cohen 2019-12-13T21:26:07Z 置信度 0.79 computer sciencecognitioncognitive sciencereinforcement learningcs.lg
• Machine Learning
  crossref Achim Zielesny 2011-07-25T14:20:24Z 置信度 0.63
• Machine Learning Fundamentals for Autonomous Systems
  Machine learning plays a critical role in the development of autonomous systems, allowing them to interpret data, make decisions, and adapt to complex environments without human involvement. This chapter investigates the fundamental principles of machine learn…
  crossref S. Sarika, K.V. Meenatchi, P.B. Tintu 2026-03-19T09:20:51Z 置信度 0.82 computer scienceartificial intelligencecs.lgcs.aireinforcement learning
• Algorithmic red teaming approaches to secure LLMs
  Algorithmic red teaming for Large Language Models (LLMs) is a crucial practice for proactively ensuring their safety and robustness. This process involves using an LLM as an adversary to test the vulnerabilities of a target LLM, which is essential for identify…
  crossref Shaurya Jauhari 2025-12-27T16:24:01Z 置信度 0.82 computer sciencecs.aiartificial intelligencecs.clcomputer and information sciences
• Conflict Resolution as Discovery in Particle Physics
  crossref Sakir Kocabas 2003-04-04T16:55:36Z 置信度 0.58
• Chapter 6: Machine Learning Classifiers with GPT-4
  crossref 2024-06-04T02:00:52Z 置信度 0.66
• Correlation Clustering
  crossref Nikhil Bansal, Avrim Blum, Shuchi Chawla 2004-06-25T21:08:21Z 置信度 0.55
• C3-4: An Algorithm to Combine Machine Learning and Structured Data to Automate De-identification of Clinical Text
  Background/Aims Clinical text is an important resource for research. To maintain patient privacy when researching this text, we use de-identification. The hiding in plain sight (HIPS) method is promising; it replaces personally identifiable information (PII) w…
  crossref D.-T. Tran, S. Halgrim, D. Carrell 2014-10-28T19:51:55Z 置信度 0.78 computer scienceartificial intelligencecs.lgcs.aipsychology
• Apprenticeship Learning
  crossref 2010-12-29T17:36:36Z 置信度 0.58
• Generative Learning
  crossref 2010-12-29T17:43:13Z 置信度 0.58
• Statistical Learning Theory
  This self-contained introduction to machine learning, designed from the start with engineers in mind, will equip students with everything they need to start applying machine learning principles and algorithms to real-world engineering problems. With a consiste…
  crossref 2023-01-24T19:05:52Z 置信度 0.79 computer scienceartificial intelligencecs.lgmachine learningmathematics education
• Preoperative PET/CT phenotype of gastric-type endocervical adenocarcinoma: integrated morphological, metabolic, serological, and explainable machine-learning analysis.
  Gastric-type endocervical adenocarcinoma (GAS) is an aggressive, non-HPV-associated cervical adenocarcinoma that is often difficult to recognize preoperatively. This study aimed to characterize the integrated PET/CT phenotype of GAS and evaluate whether morpho…
  pubmed Wang Y, Su Y, Zhang Y, Cai Y 等 2026 Jul 22 置信度 0.96 natural language processingq-bio.mntaxonomysocial and behavioral sciencesperception
• Comparative performance of chatgpt and gemini in diagnostic classification and clinical reasoning for open-angle glaucoma: a standardized scenario-based study.
  To evaluate differences in performance between two large language models (LLMs), GPT-5.3 and Gemini 2.5 Pro, in diagnostic classification and clinical reasoning for primary open-angle glaucoma (POAG).
  pubmed Zhang Z, Lu S, Xu Z, Ji K 等 2026 Jul 22 置信度 0.93 large language modelscs.clnatural language processinggenerative grammarmedical education
• Identification and functional validation of lipid droplet-associated prognostic biomarkers in breast cancer via integrative multi-omics and machine learning approaches.
  Lipid droplet (LD)-associated metabolic reprogramming plays a critical role in breast cancer progression and immune modulation, yet robust prognostic biomarkers and their functional mechanisms remain incompletely understood. This study aimed to identify LD-ass…
  pubmed Yao J, Liu Z, Zhang J, Long X 等 2026 Sep 置信度 0.93 medicinepharmacologycancerdiseaseinternal medicine
• Effect of cataracts on systemic factor prediction from fundus images.
  To evaluate the effect of cataracts on systemic factor predictions from fundus images by comparing predictive values before and after cataract surgery.
  pubmed Funatsu R, Mihara N, Miyake S, Okamura K 等 2026 Jul 22 置信度 0.89 internal medicinesocial and behavioral sciencesmedical physicschondriteinterpretability
• Prognostication of Acute Kidney Injury Following Percutaneous Coronary Intervention: A Machine Learning Approach.
  Acute kidney injury (AKI) is a serious complication of percutaneous coronary intervention (PCI) associated with increased mortality and health care costs. Traditional risk scores often rely on intraprocedural variables, limiting their utility for preprocedural…
  pubmed Itelman E, Altman Y, Yacobi B, Rotmensh A 等 2026 Aug 置信度 0.93 medicineinternal medicineintensive care medicinepsychological interventionpopulation
• Multimodal Deep Learning and Knowledge-Enhanced Intelligent Decision Support System for Pipeline Embolization Device Size Selection in Intracranial Aneurysm Treatment.
  This study aimed to develop an end-to-end intelligent decision support system, NeurAneuNet, to automate the selection of Pipeline Embolization Device (PED) size and landing zones for intracranial aneurysm treatment, thereby reducing reliance on operator experi…
  pubmed Wen Z, Guo S, Peng Y, Chen Y 等 2026 Jul 置信度 0.93 mathematics educationmedical physicssignal processinginformation theoryedge computing
• Chemical-Sensing Catheters for Long-Term and Personalized Therapeutic Management.
  Long-term intravenous catheterization is vital for delivering chemotherapy to cancer patients and parenteral nutrition to those with intestinal failure, but it inevitably leads to complications, including metabolic disorders, bloodstream infection, liver injur…
  pubmed Li Y, Cao X, Li Q, Liu X 等 2026 Jul 22 置信度 0.96 medicineintensive care medicinephysical medicine and rehabilitationinternal medicinerehabilitation
• Predictive profiles for poor functional improvement and mortality after transcatheter aortic valve replacement. Value of 6-minute walk test and myocardial work analysis.
  Clinical improvement and survival after transcatheter aortic valve replacement (TAVR) remain difficult to predict. Although multiple predictors of both outcomes have been identified, prognostic algorithms for patients undergoing TAVR are not well established.
  pubmed Rychlewski J, Przewlocka-Kosmala M, Marwick TH, Sen J 等 2026 Jul 22 置信度 0.89 medicineintensive care medicinerehabilitationinternal medicinephysical medicine and rehabilitation
• Assessing a large language model for glaucoma knowledge: ChatGPT-5 versus residents.
  To assess the performance of a contemporary large language model (ChatGPT-5) against ophthalmology residents on a standardized set of glaucoma multiple-choice questions.
  pubmed Gobira M, Moreira R, Carvalho Filho FJLG, Carvalho KWP 等 2026 置信度 0.89 cs.cllarge language modelsbenchmarknatural language processingmedical physics
• Predicting gingival embrasure risk after invisible orthodontics using multimodal data and machine learning.
  To develop and validate a risk prediction model for gingival embrasures after clear aligner therapy using multimodal oral data.
  pubmed Wang H, Shi H, Fan L, Sun Z 等 2026 Jul 22 置信度 0.87
• AI Risk Prediction Tools for Autologous Breast Reconstruction.
  Autologous breast reconstruction offers patients a durable and natural-appearing option after mastectomy. However, complication risks include flap loss, infection, and delayed wound healing. This study developed both traditional statistical and machine learnin…
  pubmed Chen J, Gabay A, Hassan AM, Graziano FD 等 2026 Jul 22 置信度 0.93 internal medicinedrug discoveryinterpretabilitymedicinescience policy
• A stacking based deep learning framework integrating random search neural architecture search for meniscus tear diagnosis.
  Accurate and rapid diagnosis of meniscal tears is crucial for effective management of sports-related injuries and degenerative knee disorders. Magnetic resonance imaging (MRI) is widely used for meniscus evaluation; however, manual interpretation is time-consu…
  pubmed Seyyarer E, Genç H, Ayata F 2026 Aug 置信度 0.96 medical physicsconvolutional neural networkdiseaseinterpretabilityrisk analysis
• Regional Inequities in Metabolic Dysfunction-associated Steatotic Liver Disease Burden and Care Quality in High-burden Settings: Implications for Health Systems.
  Metabolic dysfunction-associated steatotic liver disease (MASLD) is increasing rapidly, yet regional differences in burden and care quality remain unclear. This study aimed to compare regional incidence, mortality, and disability; evaluate care quality; identi…
  pubmed Zhang K, Kan C, Sheng S, Xu W 等 2026 Jun 28 置信度 0.89 medicinesociologyintensive care medicinesystematic reviewinternal medicine
• A Multi-omics and Machine Learning Framework Identifies Plasma SBDS as a Causal Biomarker and Therapeutic Target in Primary Sclerosing Cholangitis.
  Primary sclerosing cholangitis (PSC) is an immune-mediated cholestatic liver disease. Its molecular etiology remains poorly defined, hindering the development of mechanism-based diagnostics and therapies. Therefore, this study aimed to identify key molecular d…
  pubmed Cheng P, Qiang Y, Sun Y, Duan B 等 2026 Jun 28 置信度 0.93 internal medicinecancerdiseasemedicinemedline
• Lipidomic Profiling and Biological Aging in Patients with Coronary Microvascular Dysfunction.
  Coronary microvascular dysfunction (CMD) was frequently encountered in patients with angina in the absence of epicardial coronary stenosis. CMD was associated with adverse outcomes while the etiology was unclear.
  pubmed Lu D, Deng L, Wang Z, Hu Y 等 2026 置信度 0.83 internal medicinemedicineintensive care medicinephysical medicine and rehabilitationdisease
• Predicting cancer treatment outcomes using machine learning enabled clinical decision support systems.
  Cancer treatment poses significant challenges due to variability in patient responses, disease progression, and therapy outcomes. Traditional decision-making frameworks often fall short in integrating complex data streams, underscoring the need for intelligent…
  pubmed Hossain A, Rashid MM, Alam T, Riipa MB 等 2026 Jan-Dec 置信度 0.96 health caretransformative learningworkflowmedical physicsinterpretability
• Comparative evaluation of the aggregate index of systemic inflammation (AISI) and its modified version for early detection of central line-associated bloodstream infection: a pilot study using machine learning techniques.
  Central line-associated bloodstream infections (CLABSI) are a common and serious problem in critically ill patients; their early detecting is challenging. This study evaluated the predictive ability of the aggregate index of systemic inflammation (AISI) and it…
  pubmed Anand G, Priyadarshi K, Kumari B, Tiewsoh JBA 等 2026 置信度 0.96 intensive care medicinestat.mlinternal medicinebiological sciences not elsewhere classifiedscience policy
• Integrating clinical decision support systems, nursing vigilance, and physician prescribing patterns to reduce preventable adverse drug events: a structured evidence-based narrative review on human-AI interface in medication safety.
  Preventable adverse drug events (ADEs) remain a major source of hospital morbidity, mortality, and healthcare costs worldwide. Clinical decision support systems (CDSS) integrated into electronic health records (EHRs) were developed to reduce unsafe prescribing…
  pubmed Alruwaili MF, Paul-Chima UO, Nneoma UC 2026 置信度 0.96 health caremedicineartificial intelligencemedical educationtransformative learning
• Closed loop construction of hypoglycemia risk management for high risk neonates in mother infant rooming in settings: a retrospective study with an embedded clinical decision support system.
  To evaluate the effectiveness of an intelligent clinical decision support system (CDSS) for neonatal hypoglycemia management in mother-infant rooming-in settings, and to dissect the differential hypoglycemia risk conferred by individual high-risk factors and t…
  pubmed Chen L, Shao H, Yu B, Wang M 等 2026 置信度 0.93 medical physicsmedlineintensive care medicineinternal medicinerisk analysis
• An explainable machine learning framework for accurate prediction of postoperative anterior chamber depth in highly myopic cataract surgery.
  To develop and validate machine learning models for predicting postoperative anterior chamber depth (ACD) in highly myopic cataract patients based on preoperative biometric parameters.
  pubmed Yang Y, Cui H, Gao J, Wang Y 等 2026 置信度 0.93 stat.mlcs.lginterpretabilitydrug discoveryinternal medicine
• A novel study to calculate immune-aging from peripheral blood T lymphocyte subsets and their mitochondrial parameters in healthy Chinese subjects.
  Immunosenescence is a process in which the body's immune function declines with age, which is associated with the increased risk of infection, tumors, and other diseases. Traditional biological age assessment is difficult to fully reflect the changes in immune…
  pubmed Gan G, Guo P, Li X, Zhang S 等 2026 置信度 0.96 medicinebiological sciences not elsewhere classifiedinternal medicinecancerdisease
• Artificial Intelligence and Machine Learning-Based Triage Systems in Emergency Departments: A Systematic Review of Predictive Performance and Clinical Outcomes.
  Emergency department (ED) triage systems are essential for prioritizing patients based on clinical urgency, yet traditional methods are subject to inter-observer variability and limited predictive accuracy. Artificial intelligence (AI) and machine learning (ML…
  pubmed Mohamed N, Mohammed Ibrahim AA, Shahid N, Alhussein Alamass SI 等 2026 Jun 置信度 0.96 medicineartificial intelligencemedlinesystematic reviewcomputer science
• Integration of periodontal pathogens and inflammatory mediators in saliva as biomarkers for periodontitis.
  Periodontitis pathogenesis is driven by oral microbiome dysbiosis and dysregulated host immune responses. This cross-sectional study characterized salivary microbiome and inflammatory mediator profiles to identify candidate biomarkers distinguishing periodonta…
  pubmed Titusson C, Lundmark A, Soares RRG, Damdimopoulos A 等 2026 置信度 0.93 diseaseinternal medicinemedicinemicrobiologymedline
• Anthropometry-adjusted TyG indices predict diabetes, graft failure, and mortality in kidney transplant recipients.
  The triglyceride-glucose (TyG) index is a widely used surrogate marker of insulin resistance and associated with cardiometabolic outcomes. However, the comparative prognostic value of TyG-derived indices, particularly those incorporating anthropometric measure…
  pubmed Xiong J, Szili-Torok T, Özyilmaz ÖT, Xu W 等 2026 Aug 置信度 0.83 medicineinternal medicinescience policybiotechnologyintensive care medicine
• ATF3 and HNF4A: an oxidative phosphorylation and cholesterol homeostasis-associated diagnostic and therapeutic repurposing framework target for metabolic dysfunction-associated steatohepatitis patients.
  Metabolic dysfunction-associated steatohepatitis (MASH) is hepatic steatosis. Oxidative phosphorylation and cholesterol homeostasis (OC) plays a key role in the onset and progression of MASH. Hence, deeper understanding of OC in MASH can shed light on the clin…
  pubmed Zeng G, Zhao Q, Jiang L, Xie D 等 2026 置信度 0.93 opticsdiseaseinternal medicinephotonicsgenomics
• Primary Graft Dysfunction After Lung Transplantation: A Temporal Classification and Machine Learning Clustering.
  Primary graft dysfunction (PGD) is a major cause of morbidity and mortality after lung transplantation (LTx). PGD is graded at static time points, limiting insight into its temporal dynamics. Statistical risk-factor analysis may overlook the multifactorial com…
  pubmed Özsoy B, Vercauteren B, Van Slambrouck J, Vanluyten C 等 2026 Aug 置信度 0.96 cryptography and securitycs.aiinterpretabilitycs.lginternal medicine
• Are Real-World Mobility Patterns Early Indicators of COPD Onset? Insights from Wrist-Worn Sensors.
  Chronic Obstructive Pulmonary Disease (COPD) is a leading cause of disability and death worldwide. Early identification remains challenging, as existing prediction models largely rely on clinic-based assessments and self-report measures that are resource-inten…
  pubmed Fernandez N, Wong AYL, Brodie MA, Van Schooten KS 等 2026 置信度 0.83 medicineintensive care medicineinternal medicinescience policydisease