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Towards a physics informed digital twin to predict cerebral blood flow and cerebral vascular regulation

Jennifer K. Briggs, J. N. Stroh, Soojin Park, Brandon Foreman et al. • npj Digital Medicine (2026)

Abstract Cerebral blood flow is essential for brain function and is governed by cerebral perfusion pressure and physiological mechanisms collectively referred to as cerebral vascular regulation (CVR). Direct measurement of cerebral blood fl...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-026-02600-x

Machine learning and medical education

Vijaya B. Kolachalama, Priya S. Garg • npj Digital Medicine (2018)

Artificial intelligence (AI) driven by machine learning (ML) algorithms is a branch in computer science that is rapidly gaining popularity within the healthcare sector. Recent regulatory approvals of AI-driven companion diagnostics and othe...

OPENALEX cc-by DOI: https://doi.org/10.1038/s41746-018-0061-1 PMC: 6550167

Towards instance-wise calibration: local amortized diagnostics and reshaping of conditional densities (LADaR)

Biprateep Dey, David Zhao, Brett H Andrews, Jeffrey A Newman et al. • Machine Learning: Science and Technology (2025)

Key science questions, such as galaxy distance estimation and weather forecasting, often require knowing the full predictive distribution of a target variable Y given complex inputs X . Despite recent advances in machine learning and physic...

DOAJ Open Access (DOAJ) DOI: 10.1088/2632-2153/ae1f05

Hybrid machine learning and 3D numerical modeling-based multi-objective optimization of geosynthetic-reinforced pile-supported embankments

Ammar Alnmr, Ammar Alnmr, Rashad Alsirawan, Haidar Hosamo et al. • Frontiers in Built Environment (2026)

Efficient and reliable design of Geosynthetic Reinforced Pile-Supported (GRPS) embankments on soft ground remains challenging due to the complex nonlinear soil–structure interaction and the high computational cost of repeated numerical anal...

DOAJ Open Access (DOAJ) DOI: 10.3389/fbuil.2026.1829950

Social and juristic challenges of artificial intelligence

Matjaž Perc, Mahmut Özer, Janja Hojnik • Humanities and Social Sciences Communications (2019)

Abstract Artificial intelligence is becoming seamlessly integrated into our everyday lives, augmenting our knowledge and capabilities in driving, avoiding traffic, finding friends, choosing the perfect movie, and even cooking a healthier me...

OPENALEX cc-by DOI: https://doi.org/10.1057/s41599-019-0278-x

Artificial intelligence in orthopaedic surgery

Anthony B. Lisacek-Kiosoglous, Amber S. Powling, Andreas Fontalis, Ayman Gabr et al. • Bone and Joint Research (2023)

The use of artificial intelligence (AI) is rapidly growing across many domains, of which the medical field is no exception. AI is an umbrella term defining the practical application of algorithms to generate useful output, without the need ...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1302/2046-3758.127.bjr-2023-0111.r1 PMC: 10329876

The Integration of Cone Beam Computed Tomography, Artificial Intelligence, Augmented Reality, and Virtual Reality in Dental Diagnostics, Surgical Planning, and Education: A Narrative Review

Aida Meto, Gerta Halilaj • Applied Sciences (2025)

(1) Background: Advancements in dental imaging technologies have significantly transformed diagnostic and surgical practices. The integration of cone beam computed tomography (CBCT), artificial intelligence (AI), augmented reality (AR), and...

DOAJ Open Access (DOAJ) DOI: 10.3390/app15116308

Artificial Intelligence for Enhancing Resilience

Nitin Rane, Mallikarjuna Paramesha, Saurabh Choudhary, Jayesh Rane • Journal of Applied Artificial Intelligence (2024)

In an increasingly complex and unpredictable world, resilience-the ability to withstand and recover from adverse conditions is essential across various sectors. This research paper investigates the transformative potential of artificial int...

OPENALEX cc-by DOI: https://doi.org/10.2139/ssrn.4831911

A web-based artificial intelligence system for label-free virus classification and detection of cytopathic effects

Zeynep Akkutay-Yoldar, Mehmet Türkay Yoldar, Yiğit Burak Akkaş, Sibel Şurak et al. • Scientific Reports (2025)

Abstract Identifying viral replication within cells demands labor-intensive isolation methods, requiring specialized personnel and additional confirmatory tests. To facilitate this process, we developed an AI-powered automated system called...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-89639-0

Design of the Digital Pathology Workspace for Artificial Intelligence Integration

Elena Guerini-Rocco, Chiara Frascarelli, Joana Sorino, Francesca Maria Porta et al. • Applied Sciences (2026)

Designing an optimal digital pathology workspace is essential to ensure diagnostic accuracy and safeguard the long-term well-being of pathologists. While digital pathology improves reproducibility, facilitates multidisciplinary collaboratio...

DOAJ Open Access (DOAJ) DOI: 10.3390/app16126021

Procedural Software Toolkit in the Armamentarium of Interventional Therapies: A Review of Additive Usefulness and Current Evidence

Abdulaziz M. Al-Sharydah, Faisal Khalid BinShaiq, Rayan Ibrahim Aloraifi, Abdulrahman Abdulaziz Almefleh et al. • Diagnostics (2023)

Interventional radiology is a fast-paced specialty that uses many advanced and emerging technological solutions. Several procedural hardware and software products are available commercially. Image-guided procedural software helps save time ...

DOAJ Open Access (DOAJ) DOI: 10.3390/diagnostics13040765

Artificial Intelligence

Richard E. Neapolitan, Xia Jiang • Chapman & Hall/CRC eBooks (2018)

The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machi...

OPENALEX DOI: https://doi.org/10.1201/b22400

Precision Periodontics: Reimagining Periodontal Care through Precision Diagnostics and Targeted Therapies

Muneesh Joshi, Kuhu Sharma • Archives of Medicine and Health Sciences (2026)

Periodontitis is a chronic inflammatory disease that affects the tissues supporting teeth and represents a significant global health issue. Traditional diagnostic and treatment methods often use a broad approach and fall short due to the co...

DOAJ Open Access (DOAJ) DOI: 10.4103/amhs.amhs_191_25

Designing novel linagliptin analogs through combined generative artificial intelligence, molecular docking, molecular dynamics simulation, and binding energy estimation for targeting fibroblast activation protein

Mingsong Shi, Mingsong Shi, Zhi Yang, Yuhan Yang et al. • Frontiers in Chemistry (2026)

Fibroblast activation protein (FAP) is a highly specific biomarker overexpressed in cancer-associated fibroblasts, making it a promising diagnostic target. Developing novel high-affinity molecular probes for FAP-targeted diagnostics remains...

DOAJ Open Access (DOAJ) DOI: 10.3389/fchem.2026.1848970

Artificial Intelligence-Driven Salivary Biomarkers for Detection and Risk Stratification of Oral Potentially Malignant Disorders and OSCC: A Protocol for a Systematic Review

Shazia Fathima J.H, Mohammed Sibgatullah, Mohmed Isaqali Karobari • International Journal of Qualitative Methods (2026)

Objective This systematic review protocol aims to synthesize evidence on artificial intelligence-driven analysis of salivary biomarkers for the detection, risk stratification and differentiation of OPMDs and OSCC, with particular attention ...

DOAJ Open Access (DOAJ) DOI: 10.1177/16094069261504893

Neural Networks and Artificial’s Intelligence’s Algorithms in the Tasks of Diagnostics Foreign Bodies

Олександр Саленко, Віктор Черняк, Вадим Орел, Богдан Саленко • Mechanics and Advanced Technologies (2026)

The paper considers a device in which information about the presence of a foreign body a fragment in a wound is obtained using a special compact sensor: a mechanical elastic flexible rod, which is placed in a protective soft tube and connec...

DOAJ Open Access (DOAJ) DOI: 10.20535/2521-1943.2026.10.1(108).344614

Artificial intelligence in diagnostic pathology

Saba Shafi, Anil Vasdev Parwani • Diagnostic Pathology (2023)

Digital pathology (DP) is being increasingly employed in cancer diagnostics, providing additional tools for faster, higher-quality, accurate diagnosis. The practice of diagnostic pathology has gone through a staggering transformation wherei...

OPENALEX cc-by DOI: https://doi.org/10.1186/s13000-023-01375-z PMC: 10546747

Accuracy and reliability of Manus, ChatGPT, and Claude in case-based dental diagnosis

Ahmed A. Madfa, Abdullah F. Alshammari, Bassam A. Anazi, Yousef E. Alenezi et al. • Frontiers in Oral Health (2026)

IntroductionArtificial intelligence (AI), particularly large language models (LLMs), is transforming healthcare education and clinical decision-making. While models like ChatGPT and Claude have demonstrated utility in medical contexts, thei...

DOAJ Open Access (DOAJ) DOI: 10.3389/froh.2025.1686090