25 papers · ranked by Valyu relevance
Nargish Parvin, Sang Woo Joo, Jae Hak Jung, Tapas K. Mandal + 1 more
Multimodal artificial intelligence (AI) is driving a paradigm shift in modern biomedicine by seamlessly integrating heterogeneous data sources such as medical imaging, genomic information, and electronic health records. This review explores the transformative impact of multimodal AI across three pivotal areas…
Chao Dong, Yujing Liu, Jiaqi Nie, Xinhao Zhang + 4 more
Artificial intelligence (AI), as an emerging interdisciplinary field dedicated to simulating and extending human intelligence, is increasingly integrating into the domain of infectious disease medicine with unprecedented depth and breadth. This narrative review is based on a systematic literature search in databases…
Fatemeh Haghayegh, Alireza Norouziazad, Elnaz Haghani, Ariel Avraham Feygin + 7 more
Early-stage disease detection, particularly in Point-Of-Care (POC) wearable formats, assumes pivotal role in advancing healthcare services and precision-medicine. Public benefits of early detection extend beyond cost-effectively promoting healthcare outcomes, to also include reducing the risk of comorbid diseases.…
Mugahed A. Al-antari
Rapid advancements in artificial intelligence (AI) and machine learning (ML) are currently transforming the field of diagnostics, enabling unprecedented accuracy and efficiency in disease detection, classification, and treatment planning. This Special Issue, entitled “Artificial Intelligence Advances for Medical…
Mugahed A. Al-Antari
We would like to express our gratitude to all authors who contributed to the Special Issue of “Artificial Intelligence Advances for Medical Computer-Aided Diagnosis” by providing their excellent and recent research findings for AI-based medical diagnosis. Furthermore, special thanks are extended to all reviewers who…
Vikas Gupta, Barbaros S. Erdal, Carolina Ramirez, Ralf Floca + 22 more
'Laurence H. Jackson' 'Brad Genereaux' 'Sidney Bryson' 'Christopher P. Bridge' 'Hyeonhoon Lee' 'Felix Nensa' 'Rickmer Braren' 'Khaled Younis' 'Tobias Penzkofer' 'Andreas Michael Bucher' 'Ming Melvin Qin' 'Gigon Bae' 'M. Jorge Cardoso' 'Sebastién Ourselin' 'Eric Kerfoot' 'Rahul Nath Choudhury' 'Richard White' 'Tessa S.…
Marina Zajnulina
Cancer is one of the leading causes of death worldwide. Fast and safe early-stage, pre- and intraoperative diagnostics can significantly contribute to successful cancer identification and treatment. Artificial intelligence has played an increasing role in the enhancement of cancer diagnostics techniques in the last 15…
Alexander Muacevic, John R Adler, Vidhya Rekha Umapathy, Suba Rajinikanth B + 7 more
'Suba Rajinikanth B' 'Rajkumar Densingh Samuel Raj' 'Sankalp Yadav' 'Sithy Athiya Munavarah' 'Ponsekar Abraham Anandapandian' 'A Vinita Mary' 'Karthika Padmavathy' 'Akshay R'] Artificial intelligence (AI) has demonstrated significant promise for the present and future diagnosis of diseases. At the moment, AI-powered…
Kyle D. Howey, Manci Li, Peter R. Christenson, Peter A. Larsen + 1 more
Advancements in AI, particularly deep learning, have revolutionized protein folding modeling, offering insights into biological processes and accelerating drug discovery for protein misfolding diseases. However, detecting misfolded proteins associated with neurodegenerative disorders, such as Alzheimer’s, Parkinson’s…
Christian Lovis, Emmanouil Karampinis, Xuguang Ai, Takanobu Hirosawa + 5 more
'Yukinori Harada' 'Kazuki Tokumasu' 'Takahiro Ito' 'Tomoharu Suzuki' 'Taro Shimizu'] Background Generative artificial intelligence (GAI) systems by Google have recently been updated from Bard to Gemini and Gemini Advanced as of December 2023. Gemini is a basic, free-to-use model after a user’s login, while Gemini…
Authors not listed
Artificial intelligence (AI) is reshaping scientific research by accelerating discovery and enabling the analysis of complex data that traditional methods struggle to handle. This review examines over 310,000 journal articles and patents from the CAS Content Collection (2015–2025), with a focus on, biomedical research…
Nadja Zöller, Josef Berger, I-Chun Lin, Nai Yang Fu + 9 more
'Gioele Barabucci' 'Kornel Laskowski' 'Victor Shia' 'Benjamin Harack' 'Enlai Chu' 'Vito Trianni' 'Ralf H. J. M. Kurvers' 'Stefan M. Herzog'] Artificial intelligence systems, particularly large language models (LLMs), are increasingly being employed in high-stakes decisions that impact both individuals and society at…
Ilia Kopanichuk, Petr Anokhin, Владимир Шапошников, Vladimir Makharev + 4 more
The integration of artificial intelligence (AI) into medical diagnostic workflows requires robust and consistent evaluation methods to ensure reliability, clinical relevance, and the inherent variability in expert judgments. Traditional metrics like precision and recall often fail to account for the inherent…
Jiahao Zheng, Bayinqiaoge, Hannah F. Schiff, Xin Wang + 6 more
Swarm intelligence, the collective behaviour of animals such as birds, fish, and ants, arises from simple local interactions and enables survival, efficient foraging, and decision-making without central control. Inspired by this principle, we aimed to harness swarm intelligence for biosensing applications. Conventional…
Muhammad Nauman Aftab, Faisal Mehmood, Chengjuan Zhang, Alishba Nadeem + 3 more
and Deep Learning Applications Authors: ['Muhammad Nauman Aftab' 'Faisal Mehmood' 'Chengjuan Zhang' 'Alishba Nadeem' 'Zigang Dong' 'Yanan Jiang' 'Kangdongs Liu'] Artificial intelligence (AI) has potential to revolutionize the field of oncology by enhancing the precision of cancer diagnosis, optimizing treatment…
Tittaya Mairittha, Tanakon Sawanglok, Panuwit Raden, Sorrawit Treesuk
'Sorrawit Treesuk'] Swine disease surveillance is critical to the sustainability of global agriculture, yet its effectiveness is frequently undermined by limited veterinary resources, delayed identification of cases, and variability in diagnostic accuracy. To overcome these barriers, we introduce a novel AI-powered…
Derek J Van Booven, Cheng-Bang Chen, Sheetal Malpani, Yasamin Mirzabeigi + 3 more
In the realm of computational pathology, the scarcity and restricted diversity of genitourinary (GU) tissue datasets pose significant challenges for training robust diagnostic models. This study explores the potential of Generative Adversarial Networks (GANs) to mitigate these limitations by generating high-quality…
Ross Davidson, Charles Heinstein, Glenn Patriquin, Lee William Goneau + 2 more
This dual-center study evaluated the impact of artificial intelligence (AI) on urine culture turnaround times in Canadian diagnostic laboratories employing full microbiology laboratory automation. Data were collected before and after the implementation of PhenoMATRIX (PM), an AI-based software designed to support…
Miriam Angeloni, Davide Rizzi, Simon Schoen, Alessandro Caputo + 4 more
Digital pathology (DP) has revolutionized cancer diagnostics, allowing the development of deep-learning (DL) models supporting pathologists in their daily work and contributing to the improvement of patient care. However, the clinical adoption of such models remains challenging. Here we describe a proof-of-concept…
Sahil Sharma, Muskaan Singh, Liam McDaid, Saugat Bhattacharyya
Explainable Artificial Intelligence (XAI) is crucial in healthcare as it helps make intricate machine learning models understandable and clear, especially when working with diverse medical data, enhancing trust, improving diagnostic accuracy, and facilitating better patient outcomes. This paper thoroughly examines the…
Ranjan Kumar Barman, Saugato Rahman Dhruba, Danh-Tai Hoang, Eldad D. Shulman + 8 more
Artificial intelligence (AI) is making notable advances in digital pathology but faces challenges in human interpretability. Here we introduce EXPAND (EXplainable Pathologist Aligned Nuclear Discriminator), the first pathologist-interpretable AI model to predict breast cancer tumor subtypes and patient survival. EXPAND…
Jonathan Zaslavsky, Pauric Bannigan, Christine Allen
Introduction Interest in nanomedicines has surged in recent years due to the critical role they have played in the COVID-19 pandemic. Nanoformulations can turn promising therapeutic cargo into viable products through improvements in drug safety and efficacy profiles. However, the developmental pathway for such…
Authors not listed
The ongoing threat of global warming necessitates a shift towards clean energy sources to meet rising demands while reducing carbon emissions. Polymer electrolyte fuel cells (PEFCs) represent a promising technology for both mobile and stationary applications but their poor operational lifetimes and frequent faults are…
Authors not listed
Artificial intelligence (AI) is reshaping chemical engineering. Still, its role in safety-critical operations is limited because we rarely see tools that link physical models with data-driven methods. This study brings together three elements: physics-constrained neural networks, uncertainty quantification, and a…
Authors not listed
Artificial intelligence (AI) is poised to transform heterogeneous catalysis, ushering in a new paradigm for catalytic materials discovery. By uncovering intricate patterns in high-dimensional data, AI has been reshaping our pursuit of sustainable catalytic processes across the energy, environmental, and chemical…