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• Tumour morphology as a visible readout of cancer biology: Towards artificial intelligence-enabled multimodal risk stratification in anal squamous cell carcinoma.
  pubmed Nie S, Han J, Cao X, Wang Y 2026 Aug 置信度 0.82
• Current Treatment Options and Emerging Technologies for Pelvic Bone Tumors: From Limb Salvage to Precision Oncology.
  In our practice, the treatment of pelvic bone tumors should begin with a multidisciplinary sarcoma-board evaluation that integrates biopsy-proven histology, high-resolution CT/MRI/PET imaging, neurovascular and visceral involvement, Enneking zone, expected sur…
  pubmed Liu Y, Zhang Z, Jiang C, Jia K 等 2026 Jul 27 置信度 0.82
• Transfer learning prediction of 2-year native liver survival in biliary atresia following Kasai portoenterostomy using early perioperative biochemical data up to 3 months postoperatively.
  Biliary atresia (BA), a rare but life-threatening neonatal cholestatic disorder, necessitates Kasai portoenterostomy (KPE) as the primary surgical intervention. However, despite timely KPE within the recommended 60-day window, approximately 60% of infants ulti…
  pubmed Xie C, Yan W, Zhao Y, Li S 等 2026 Jul 27 置信度 0.82
• Classification of fermentation methods for white mulberry products using fluorescence spectroscopy combined with deep learning.
  In the field of cosmetic raw materials, accurately distinguishing plant fermentation extracts from traditional water extracts is crucial for ensuring product quality, user safety, and the authenticity of claimed effects. However, conventional chemometrics has …
  pubmed Zeng T, Yang H, Wang S, Wu D 等 2026 Aug 27 置信度 0.82
• A Deep Learning-Based Study on Automatic Measurement Method of Biological Parameters in Anterior Segment UBM Images of Angle-Closure Glaucoma.
  This study aimed to develop a deep learning-based model for measuring biometric parameters from anterior segment ultrasound biomicroscopy (UBM) images, assisting clinicians in the early screening and diagnosis of primary angle-closure glaucoma (PACG).
  pubmed Yu X, Zhao Z, Zhang C, Wang X 等 2026 Jul 1 置信度 0.82
• Antidepressant use at the threshold: people prescribed antidepressants around the time of a dementia diagnosis.
  Antidepressant use is common in people with dementia, and many start around the time of diagnosis. We hypothesised that those who commenced antidepressants at dementia diagnosis started for dementia-related symptoms, distinct from those with longstanding presc…
  pubmed Heybe M, Verma S, Pozuelo Moyano B, Stewart R 等 2026 Jul 2 置信度 0.82
• Screening of cell-type-specific meta-programs for drug repurposing in Alzheimer's disease.
  Alzheimer's disease (AD) is a progressive neurodegenerative disorder driven by complex cellular changes. To identify transcriptional signatures involved in AD pathology, we first analyzed nine single-cell/nucleus RNA-seq datasets from 67 high-pathology cases (…
  pubmed Zhang C, Zhang Y, Wu Z, Zhang Y 等 2026 Jul 3 置信度 0.82
• Can AI Detect What Is Not Injected? Evaluation of Lesion Detection in Virtual Contrast-Enhanced Breast MRI Using a Large-Scale AI Model Trained on GBCA-Enhanced Data.
  Artificial intelligence (AI) can support lesion detection in gadolinium-based contrast agent-enhanced (GBCA-enhanced) breast MRI. However, its effectiveness on virtual contrast-enhanced (vCE) images remains unclear. This feasibility study evaluated the publicl…
  pubmed Heidarikahkesh S, Schreiter H, George A, Nguyen TT 等 2026 Jul 16 置信度 0.82
• Clinical evaluation of deep learning-accelerated 3D FLAIR imaging at 1.5T and 3T for visualization of cerebral white matter lesions.
  BackgroundFluid-attenuated inversion recovery (FLAIR) imaging is a standard sequence used for the detection of white matter lesions; however, 1-mm isotropic FLAIR can take 5-7 min at 1.5T and 3T using routine methods, limiting routine use of high-resolu…
  pubmed Buathong S, Filippakis A, Hua Chiang C, Milshteyn E 等 2026 Sep 置信度 0.82
• Artificial Intelligence Tools in Pre-Travel Health Consultations: A Scoping Review of Clinical Evidence, Implementation Gaps, and Emerging Opportunities.
  Pre-travel health consultations require individualised risk assessment across itinerary, destination, traveller characteristics, vaccine and medication history, comorbidities, pregnancy and immune status, activities, and access to care. Artificial intelligence…
  pubmed Qasim HS, Simpson MD 2026 Jul 6 置信度 0.82
• SELEX-Based Aptamer Technologies for Toxin Analysis: Screening, Optimization, and Computational Assisted Design.
  The accurate and sensitive detection of toxin contamination remains a pressing challenge for food safety, environmental integrity, and public health, because conventional analytical methods suffer from high costs, poor field stability, and inadequate sensitivi…
  pubmed Shang X, Yang C, Deng H, Wang L 等 2026 Jul 3 置信度 0.82
• Diagnostic Performance of Artificial Intelligence (AI) Chatbot Compared to Orthopedic Trauma Surgeons in Evaluating Indication for Surgery for Isolated Lateral Malleolar Fractures: a Retrospective Study.
  The indication for surgery for isolated lateral malleolar fracture (AO/OTA 44B1) is debatable and in many cases, relies upon radiographic assessment of fracture stability. Artificial intelligence chatbots with visual analysis capabilities offer a potential att…
  pubmed Oulianski M, Mosheiff R, Avraham D, Yehuda OB 等 2026 Jul 置信度 0.82
• Assessment of Creativity Potential of a 3DGAN in Implant Crown Design: A Proof-of-Concept Study.
  Digital dentistry increasingly relies on artificial intelligence (AI) to automate restorative design. However, the ability of generative networks to produce multiple geometrically distinct outputs for the same prosthetic field remains insufficiently evaluated.…
  pubmed Naydenov A, Uzunov T, Kirov D, Kostadinov G 2026 Jul 5 置信度 0.82
• The Next Phase of 3D Bioprinting: AI-Native Systems-A Narrative Review.
  Three-dimensional (3D) bioprinting has reached a complexity limit where empirical, parameter-by-parameter optimization no longer scales. The dominant mode of artificial intelligence (AI) integration remains AI-augmented, where AI is treated as an analytical ad…
  pubmed Zdravković N, Zdravković M, Živanović MN 2026 Jul 3 置信度 0.82
• Occupational Heat Stress in Industrial Workers: Modifiable Predictors and Machine Learning Risk Classification in Northeast India.
  Occupational heat stress poses a growing threat to worker health and productivity in low- and middle-income countries. This study investigated modifiable predictors of heat stress among industrial workers and evaluated machine-learning models for risk classifi…
  pubmed Srinivasan K, Saikia D, Seethy A, Bhattacharjee M 等 2026 Aug 1 置信度 0.82
• Historical Perspectives, Classification and Diagnostic Approaches of Inborn Errors of Metabolism: A Systematic Review and Meta-Analysis.
  Background: Inborn errors of metabolism (IEMs) represent a diverse group of genetic disorders affecting biochemical pathways. Despite advances in diagnostic technologies, comprehensive understanding of their historical evolution, classification systems, and di…
  pubmed Mutamuliza J, Gori E, Mutesa L, Debray FG 2026 Jun 25 置信度 0.82
• Risk Phenotyping Before Graft Implantation: FTIR Spectroscopy and Machine Learning for Complementary Risk Stratification in Kidney Transplantation.
  Rejection remains a major barrier to long-term kidney allograft survival, and pre-transplant risk stratification remains incomplete. This study evaluated whether pre-transplant serum Fourier-transform infrared (FTIR) spectra, analyzed using machine learning me…
  pubmed Ramalhete L, Araújo R, Vigia E, Vieira MB 等 2026 Jun 27 置信度 0.82
• Diagnostic Models of Neonatal Respiratory Distress Syndrome and Congenital Pneumonia: A Retrospective Cohort Study.
  Background : The differential diagnosis of respiratory distress syndrome (RDS) and congenital pneumonia (CP) in newborns remains a complex clinical challenge due to the similarity in their clinical manifestations and their potential to coexist. Objective : We …
  pubmed Aminova A, Zabelich A, Matsukatova B, Eryushova T 等 2026 Jun 26 置信度 0.82
• Real-World Pharmacotherapy-Driven Cardiovascular Risk Prediction Using Interpretable Machine Learning and Jordanian EHR Data.
  Background: Cardiovascular disease (CVD) remains the leading cause of mortality worldwide, with over 75% of deaths occurring in low- and middle-income countries, where conventional risk models often demonstrate poor calibration and limited generalizability. Ob…
  pubmed Moshawih S, Gharaibeh L, Alfreahat I, Shnoudeh AJ 2026 Jun 24 置信度 0.82
• Empagliflozin Protects Against Doxorubicin Cardiotoxicity: Integrative Assessment of Cardiac Kinetics and Electrophysiology Using Machine Learning in a Rat Model.
  Background/Objectives : Anthracycline-induced cardiotoxicity remains a major challenge in cancer treatment, and researchers are showing interest in artificial intelligence (AI) to improve the prediction and detection of cancer therapy-related cardiac dysfuncti…
  pubmed Goje ID, Ordodi VL, Bojin FM, Goje GI 等 2026 Jun 24 置信度 0.82
• Artificial Intelligence in Passive Thermal Management: Current Trends and Future Directions
  crossref Nasim Dehghani, Ahmad Jamekhorshid, Shahriar Osfouri 2026-06-25T19:42:54Z 置信度 0.70
• Exhibiting Contemporary Artworks Co-produced with Artificial Intelligence
  crossref Aluminé Rosso 2026-02-18T07:33:49Z 置信度 0.70
• From appraisal to deployment: A governance framework for large language models in emergency medicine
  Introduction Large language models (LLMs) are increasingly being considered for emergency medicine applications, including triage support, diagnostic assistance, documentation, summarization, discharge communication, and patient-facing guidance. However, valid…
  crossref Ahmet Aykut 2026-07-09T20:41:27Z 置信度 0.70
• Cognitive and artificial intelligence evaluation framework
  Abstract The Cognitive and Artificial Intelligence Evaluation (CAIE) framework provides a structured and domain-independent methodology for assessing the intelligence of artificial and information systems in a broader perspective. The primary achievement of th…
  crossref Attila Márton Putnoki, Tamás Orosz 2026-01-28T04:15:41Z 置信度 0.70
• Description of each section
  crossref 2025-12-06T00:55:02Z 置信度 0.70
• Perspectives on Artificial Intelligence and Internet of Things for Sustainable Environment
  crossref 2025-12-05T20:19:38Z 置信度 0.70
• Convolutional Neural Networks
  crossref Oliver Kramer 2026-05-09T05:13:53Z 置信度 0.70
• Preface
  crossref 2026-03-14T01:25:52Z 置信度 0.70
• ROLE OF ARTİFİCİAL INTELLİGENCE İN ENHANCİNG MOTİVATİON AMONG STUDENTS İN DİGİTAL CLASSROOMS
  The dynamics of student involvement have been completely transformed in recent years by the use of artificial intelligence (AI) in education, especially in online classrooms. The present analysis looks at how AI-powered tools can improve student motivation and…
  crossref Kritika Arora, Gurpreet Kaur 2026-05-12T19:54:07Z 置信度 0.70
• Artificial intelligence in heat and mass transfer in chemical engineering processes
  crossref Temima Ajanović, Farooq Sher, Harun Hrnjić, Muddasar Safdar 等 2025-10-17T11:16:27Z 置信度 0.70
• Preface
  crossref 2025-11-14T15:07:42Z 置信度 0.70
• Introduction
  crossref Min Wu 2026-04-15T22:45:33Z 置信度 0.70
• ICARAI 2026 Copyright Page
  crossref 2026-08-10T19:20:57Z 置信度 0.70
• Autonomous sailing with sim-to-real reinforcement learning
  Autonomous sailing offers a sustainable alternative for reducing greenhouse gas emissions in maritime transport, aligning with global environmental targets. This study explores the application of reinforcement learning (RL) to autonomous sailing, addressing ch…
  crossref Kiki J.A. Bink, Bülent Düz, Gabriel D. Weymouth 2026-08-10T20:54:25Z 置信度 0.70
• Integrating liquid biopsy and artificial intelligence for precision detection of cancer signatures
  crossref Zainab Siddiqui, Maryam Koopaie, Nishat Fatima, Mohd Amir Shafeeque 2026-05-01T08:51:52Z 置信度 0.70
• An extensive analysis of artificial intelligence and internet of things for modern healthcare realm
  crossref Anh Pham Thi Ngoc, Khushwant Singh 2025-10-25T07:52:18Z 置信度 0.70
• Adaptive text generation with personality types and continuous emotion intensity
  crossref Jingyi Zhou, Senlin Luo, Haofan Chen 2026-07-01T07:26:58Z 置信度 0.70
• Causal Artificial Intelligence Counterfactual Prediction of Material’s Superconducting Critical Temperature
  A causal artificial intelligence (AI) model was developed to support the discovery of new superconducting materials by analysing causal relationships between intervalvalued elemental descriptors and the superconducting critical temperature, T c .The aim is to …
  crossref Želimir Kurtanjek 2026-07-21T12:13:56Z 置信度 0.70
• Artificial intelligence: Historical background, types of tools, and applications for a sustainable future
  crossref Ruba Alqahtani, Zehra Fatima, Bassam Tawabini 2025-11-29T05:52:28Z 置信度 0.70
• LLM-Enabled Social Agents
  Large Language Models (LLMs) have transformed agent–agent and human–agent interaction by enabling software, physical, and simulation agents to communicate and deliberate through natural language. Yet fluent language use does not by itself yield socially intell…
  crossref Önder Gürcan, Moharram Challenger 2026-07-02T09:57:10Z 置信度 0.70
• The Standards for the Development and Adoption of Artificial Intelligence Technologies
  crossref Michele Di Salvo 2026-04-15T15:44:33Z 置信度 0.70
• The Application of OCR and Big Data Technologies in Medical Prescription Audit Data Collection and Suspicious Point Screening
  crossref Ji Sun 2026-05-01T19:51:20Z 置信度 0.70
• Assessment of YOLO Variants for Multi-Type Brain Tumor Detection
  crossref K. Afnaan, Tripty Singh, Khaled Hushme, Ganesh Naik 2026-07-14T22:05:20Z 置信度 0.70
• Introduction to Artificial Intelligence and Sustainable Development
  This chapter explores the multifaceted intersections between artificial intelligence (AI) and sustainable development, highlighting both opportunities and challenges. It begins by outlining the transformative role of AI in advancing sustainability across envir…
  crossref Medani P. Bhandari 2026-02-17T14:53:29Z 置信度 0.70
• DTPP:An efficient depthwise separable TCN for seismic phase picking
  With the rapid development of artificial intelligence in seismology, various deep learning-based seismic phase picking models have emerged in recent years. However, existing models face challenges in balancing picking accuracy with computational efficiency for…
  crossref Shuai Lv, Yuxiang Peng 2026-01-15T00:21:01Z 置信度 0.70
• Efficient constraint generation for stochastic shortest path problems
  Stochastic Shortest Path problems (SSPs) are traditionally solved by computing each state’s cost-to-go by applying Bellman backups. A Bellman backup updates a state’s cost-to-go by iterating through every applicable action, computing the cost-to-go after apply…
  crossref Johannes Schmalz, Felipe Trevizan 2026-03-10T06:56:02Z 置信度 0.70
• Biomaterials education through artificial intelligence-enabled product-based learning
  crossref Ronald Marquez, Mariangeles Salas, Nelson Barrios, Laura Tolosa 等 2025-12-05T23:40:28Z 置信度 0.70
• Transforming Healthcare with Artificial Intelligence
  crossref 2026-06-22T09:41:42Z 置信度 0.70
• Musicology in Artificial Intelligence
  Musicology is the scholarly, scientific, and humanistic study of music. Historical musicology studies the development of musical works, styles, and practices over time, using archival research and contextual analysis. Archival research involves examining origi…
  crossref Evren Idil Yazan 2026-04-08T16:59:00Z 置信度 0.70
• Contextualization of the Place and Role of Artificial Intelligence in Climate Hazard Management
  Currently we do not have full and sufficient knowledge of climate hazards. These include both climatic conditions linked to long-term human intervention in natural ecosystems and uncontrolled climatic events and catastrophes, which are caused by natural factor…
  crossref Adam Jabłoński, Marek Jabłoński 2026-03-05T16:00:21Z 置信度 0.70
• Robots with a Sense of Self: Exploring Embodied Intelligence
  crossref Rajendra Akerkar 2026-01-02T01:15:29Z 置信度 0.70
• Explainable AI for Health Care Prediction Bridging Data, Decisions and Clinical Adoptation
  crossref Arathi, K. R. Shylaja, R. Prabha 2026-07-14T22:07:14Z 置信度 0.70
• Application of machine learning and artificial intelligence methods in food safety assessment
  crossref Zhoumeng Lin, Kun Mi, Xue Wu 2025-09-23T11:38:32Z 置信度 0.70
• Self-supervised social attentive deep reinforcement learning-based group recommender system
  crossref S Krishnamoorthi, Gopal K. Shyam 2025-12-10T01:39:43Z 置信度 0.70
• Seamless monitoring of stress levels leveraging a foundational model for time sequences
  Background Accurate and continuous monitoring of physiological stress is crucial, especially for patients with neurodegenerative diseases. Traditional monitoring methods, such as Electrocardiogram (ECG), are often invasive and limited in duration, while data f…
  crossref Davide Gabrielli, Bardh Prenkaj, Paola Velardi 2025-12-25T00:12:18Z 置信度 0.70
• Revolutionizing therapeutic possibilities for hepatocellular carcinoma by advanced bioinformatics and artificial intelligence-driven drug repurposing
  crossref Rajat Nath, Anupam Das Talukdar, A. Dinakara Rao 2026-03-27T09:59:39Z 置信度 0.70
• Not for people like me: How frontier AI models redirect skeptical rural school staff
  crossref Zachary Rossmiller 2026-08-10T23:43:23Z 置信度 0.70
• Can Artificial Intelligence Facilitate Faster Development Assessment? The Case of an Early Adopter Programme
  This chapter examines the early adoption of artificial intelligence in the development assessment process within urban and regional planning in New South Wales, Australia. It examines the potential of existing AI products, the human labour required to assemble…
  crossref Wayne Williamson 2026-04-01T17:58:42Z 置信度 0.70
• Robotics automation for smart healthcare system and medical laboratory service
  crossref ManiRaj S.P., Asif Iqbal Kawoosa, Surrya Prakash Dillibabu, Muthu S. Nidhya 2025-10-25T07:52:18Z 置信度 0.70
• Hand information extraction using artificial intelligence for Alzheimer's disease diagnosis
  crossref Eyitomilayo Yemisi Babatope, Alejandro Álvaro Ramírez-Acosta, Mireya Saraí García-Vázquez 2026-05-01T08:42:43Z 置信度 0.70
• Design and Integration of Artificial Intelligence in Zero-Trust Cyber Security Frameworks
  Network perimeters erosion requires transition to Zero-Trust Architecture (ZTA). In this paper, the framework, AI-Enhanced Dynamic Zero-Trust (AI-DZT), suggests the incorporation of AI/ML into the very structure of ZTA. The AIDZT system substitutes the fixed p…
  crossref Manjunadh Maddhuru 2026-05-20T19:49:10Z 置信度 0.70
• APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN HERBAL NANOTECHNOLOGY: CURRENT ADVANCES AND FUTURE PERSPECTIVES
  This review also addresses the regulatory and ethical issues associated with the integration of AI in nano herbal medicine. AI has established itself as an essential technology within nano herbal medicine, supporting the analysis of vast datasets, the anticipa…
  crossref Gomasa Pradeep kumar, Ubaidulla Uthumansha 2026-05-29T10:49:37Z 置信度 0.70
• Information gain-based diffusion model for group recommendation
  crossref Lijin Mu, Nan Wang, Rui Liu, Ziqi Liu 2026-05-04T09:04:24Z 置信度 0.70
• Case Studies on Explainable Artificial Intelligence in Climate and Environmental Analysis
  crossref Leenata Parab, Rajiv Iyer, Vedprakash Maralapalle 2026-05-08T21:30:13Z 置信度 0.70
• Artificial intelligence in multi-omics analysis of gastrointestinal diseases
  The assessment and treatment of gastrointestinal diseases face numerous obstacles, including inadequate diagnostic methods, limited therapeutic alternatives, and unequal access to medical services across different regions. However, advancements in technology s…
  crossref Debasree Sarkar 2026-02-27T12:37:29Z 置信度 0.70
• Deep hybrid vision transformers for improved landslide mapping in geospatial remote sensing
  ABSTRACT Landslide identification using automated techniques helps researchers improve the accuracy of state-of-the-art landslide prediction models. In recent years, convolutional neural networks (CNNs) have seen considerable success in analyzing remote-sensin…
  crossref S. Sreelakshmi, S.S. Vinod Chandra 2026-07-07T16:18:41Z 置信度 0.70
• What LUNA25 Teaches Us about AI for Lung Cancer Screening
  crossref Eduardo Moreno Júdice de Mattos Farina, Gilberto Szarf 2026-08-05T13:48:25Z 置信度 0.70
• Cyborg Intellectuals
  crossref Jordy Satria Widodo, Henny Suharyati 2026-05-01T21:29:30Z 置信度 0.70
• Artificial Intelligence and IoT Frameworks for Climate Change Monitoring and Environmental Sustainability
  The increasing impacts of climate change have necessitated the development of more accurate and dynamic systems for climate monitoring, prediction, and adaptation. This chapter explores the integration of Artificial Intelligence (AI) and the Internet of Things…
  crossref Taru Tevatia, Vanathi M 2026-04-11T12:38:36Z 置信度 0.70
• Pictorial research of pancreas with artificial intelligence and simulacra in the works of Fellini
  crossref Hiroki Tahara 2021-12-28T10:05:59Z 置信度 0.70
• Integrating Artificial Intelligence With Ayurveda-Based Medical Tourism in Uttarakhand for Achieving Global Wellness Targets
  The integration of Artificial Intelligence (AI) with Ayurveda-based medical tourism has emerged as a promising interdisciplinary approach for advancing global wellness objectives and enhancing healthcare accessibility. This study examines how AI-driven technol…
  crossref Neeraj Verma, Sumit Tripathi, Siddhartha Juyal, Vinay Punia 2026-06-18T13:53:44Z 置信度 0.70
• Intelligence
  crossref Ermanno Bencivenga 2026-02-10T18:35:25Z 置信度 0.70
• Emotional Intelligence: A Human-Centred AI Perspective
  crossref Mario Espinosa Gámez 2026-05-17T23:13:53Z 置信度 0.70
• Ethical and legal risks with hierarchical regulation of artificial intelligence in China’s medical field
  crossref Xin Xing, Hao Qiu 2025-10-27T07:14:53Z 置信度 0.70
• Exploring Medical Students' and Faculty's Perception on Artificial Intelligence and Robotics. A Questionnaire Survey
  Over the last decade, the emerging fields of artificial intelligence (AI) and robotics have been introduced in medicine, gaining much attention.This study aims to assess the insight of medical students and faculty regarding AI and robotics in medicine.A cross-…
  crossref Leandros Sassis, Pelagia Kefala-Karli, Marina Sassi, Constantinos Zervides 2021-06-23T03:24:11Z 置信度 0.70
• AN INTELLIGENT MATLAB-BASED ARTIFICIAL INTELLIGENCE FRAMEWORK FOR INTEGRATED MEDICAL, PLANT DISEASE DIAGNOSIS AND SMART EDUCATION SYSTEMS
  Artificial Intelligence (AI) is transforming healthcare diagnostics, agricultural disease detection, and smart education systems. However, existing solutions are fragmented and domain-specific. This paper proposes a unified MATLAB-based AI framework integratin…
  crossref Mr. Gaurao Anandrao Mankhair 2026-04-07T09:16:55Z 置信度 0.70
• <scp>RETRACTION</scp> : Artificial Intelligence‐based Wind Forecasting Using Variational Mode Decomposition
  RETRACTION: V. Vanitha , J.G. Sophia , R. Resmi , and D. Raphael , “,” Computational Intelligence 37 no. ( 2021 ): 1034 – 1046 , https://doi.org/10.1111/coin.12331 . The above article, published online on 12 May 2020 in Wiley Online Library ( wileyonlinelibrar…
  crossref 2026-01-23T11:37:39Z 置信度 0.70
• Human-Centric Artificial Intelligence (HCAI) for Precision Clinical and Medical Virology
  crossref Wasswa Shafik 2025-09-26T07:11:23Z 置信度 0.70
• The Role of Artificial Intelligence in Smart Cities
  Within less than a decade, Artificial Intelligence (AI) has turned urban metropolises into Smart Cities that are more sustainable, efficient, and inclusive. From simple analytics to the deployment of IoT sensors and devices, the journey of AI started in these …
  crossref Radosław Wolniak, Kinga Stecuła, Wieslaw Grebski 2026-01-07T15:45:57Z 置信度 0.70
• Artificial Intelligence, Autonomy, and Criminal Liability in India
  This chapter explores the idea of growing adoption of AI in various industries and its criminal liability. When autonomous AI systems operate at their own discretion, current laws such as those in Bharatiya Nyaya Sanhita suffer from a lack of specificity. We m…
  crossref Gaurav Yadav 2026-06-17T11:53:09Z 置信度 0.70
• Evaluating the Accuracy of Artificial Intelligence (AI) Medical Scribe Software Utilization in Telestroke (P4-4.013)
  To measure the performance of an Artificial Intelligence (AI) medical scribe by using Medical Concept Word Error Rate (MC-WER) in telestroke encounters.
  crossref Lana Prieur, Mark McDonald, Theresa Sevilis 2026-06-10T17:56:11Z 置信度 0.70
• Knowledge, Attitude and Practices Regarding Artificial Intelligence Among Medical Sector Students
  crossref Safaa Ahmed Hassan, Salwa Abbas Ali, Asmaa Ali Elsayed 2026-07-01T14:04:53Z 置信度 0.70
• Artificial Intelligence-Mediated Medical Diagnosis of COVID-19
  crossref Malaya K. Sahoo, Prashant Khare, Mukesh Samant 2021-09-29T15:28:56Z 置信度 0.70
• WCN26-8686 LEVERAGING ARTIFICIAL INTELLIGENCE TO DELIVER PRECISION MEDICAL EDUCATION IN NEPHROLOGY FELLOWSHIP TRAINING
  A major barrier to actualizing precision medical education is performing the ongoing, continuous analysis necessary for assessment and iterative feedback to improve foundational knowledge and diagnostic reasoning. We are leveraging large language models (LLMs)…
  crossref Peter Thorne, Nattawat Klomjit, Andrew Olson 2026-03-25T10:14:08Z 置信度 0.70
• Artificial Intelligence and the Cost of Medical Education: Conditional Promise, Structural Barriers, and Policy Imperatives
  crossref Jorge Cervantes, Vijay Rajput 2026-08-05T15:03:51Z 置信度 0.70
• Managing temporal worlds for medical trend diagnosis
  The medical trend diagnosis system TrenDx has been applied as a prototype for diagnosing pediatric growth disorders, and as a proof of concept in detecting clinically significant trends in hemodynamics and blood gases in intensive care unit patients. TrenDx di…
  crossref Ira J. Haimowitz, Isaac S. Kohane 2002-07-26T04:25:06Z 置信度 0.70
• Artificial Intelligence for Medical Image Analysis: An Opportunity for Automation
  crossref Chibueze A. Nwaiwu, Adrian E. Park 2024-12-23T16:27:57Z 置信度 0.70
• Artificial Intelligence-Enhanced Mathematical Derivation method: Exact solutions of the Benjamin–Bona–Mahony equation
  crossref Zeng-Liang Zhao, Run-Fa Zhang 2026-03-12T07:56:46Z 置信度 0.70
• Robotic intelligence for healthcare system
  crossref Anirban Patra, Nilanjan Mukhopadhyay 2025-10-17T11:06:31Z 置信度 0.70
• Emotional Intelligence: A Human-Centred AI Perspective
  crossref Mario Espinosa Gámez 2026-01-06T12:17:19Z 置信度 0.70
• Artificial intelligence-predicted versus observed item performance in medical progress testing: A 3-year comparative study
  Background: Artificial intelligence (AI) tools are increasingly used for preexam item analysis, but their predictive validity remains uncertain. Aims: This study aimed to compare AI-predicted item difficulty and discrimination with actual postexam psychometric…
  crossref Ahmad S. Alamro 2026-08-27T10:00:10Z 置信度 0.70
• The Authors' Original Concept of Climate Hazard Management by Means of Artificial Intelligence
  The aim of this chapter is to present the authors’ original concept of climate hazard management by means of artificial intelligence. The scope of the chapter covers issues related to the artificial intelligence model in climate hazard management and is based …
  crossref Adam Jabłoński, Marek Jabłoński 2026-03-05T16:00:21Z 置信度 0.70
• Causes to clauses: Managing assumptions in qualitative medical diagnosis
  crossref Keith Downing, Jeff Shrager 2003-03-25T14:45:39Z 置信度 0.70
• Artificial intelligence in multi-omics integration for precision drug design
  crossref Nagmi Bano, Saima Firdaus, Rafat Parveen, Shaban Ahmad 等 2026-03-14T01:24:49Z 置信度 0.70
• Multi-granularity alignment and cross-modal reasoning for fake news video explanation
  Fake news video explanation generation aims to provide accurate and insightful explanations through in-depth analysis of news video content. However, existing methods typically align video context with overall descriptions and generate explanations via multi-m…
  crossref Chao Cheng, Weiwei Jiang 2026-02-11T03:39:56Z 置信度 0.70
• The Fundamental Quantum Field of Consciousness as a Hypothetical Basis for Studying Human and Artificial Intelligence
  The paper proposes a new interdisciplinary approach to the study of the nature of consciousness and intelligence. The hypothesis of the existence of a fundamental quantum field of consciousness as a special form of physical reality capable of interacting with …
  crossref Shevchenko A 2026-07-02T14:50:53Z 置信度 0.70
• Designing an Academic Artificial Intelligence Entrepreneurship Ecosystem: A Mixed-Method Fuzzy Delphi Approach
  crossref Najmeh Taheri, Abdolmajid Mosleh 2026-06-25T19:42:54Z 置信度 0.70
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