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Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial

Aldo Badano, Christian G. Graff, Andreu Badal, Diksha Sharma, Rongping Zeng, Frank W. Samuelson, Stephen J. Glick, Kyle J. Myers
2018 JAMA Network Open  
Expensive and lengthy clinical trials can delay regulatory evaluation of innovative technologies, affecting patient access to high-quality medical products.  ...  Simulation is increasingly being used in product development but rarely in regulatory applications.  ...  We first describe the in silico replica (the Virtual Imaging Clinical Trial for Regulatory Evaluation, or VICTRE trial), including the trial population, the physics of the imaging systems, and the image  ... 
doi:10.1001/jamanetworkopen.2018.5474 pmid:30646401 pmcid:PMC6324392 fatcat:5o435sykwfdjlozxqolvdvt27y

PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers

Luis Martí-Bonmatí, Ángel Alberich-Bayarri, Ruth Ladenstein, Ignacio Blanquer, J. Damian Segrelles, Leonor Cerdá-Alberich, Polyxeni Gkontra, Barbara Hero, J. M. García-Aznar, Daniel Keim, Wolfgang Jentner, Karine Seymour (+22 others)
2020 European Radiology Experimental  
The project is constructed as an observational in silico study involving high-quality anonymised datasets (imaging, clinical, molecular, and genetics) for the training and validation of machine learning  ...  The open cloud-based platform will offer precise clinical assistance for phenotyping (diagnosis), treatment allocation (prediction), and patient endpoints (prognosis), based on the use of imaging biomarkers  ...  Acknowledgements PRIMAGE (PRedictive In-silico Multiscale Analytics to support cancer personalised diaGnosis and prognosis, empowered by imaging biomarkers) Business Place is a Horizon 2020 | RIA (Topic  ... 
doi:10.1186/s41747-020-00150-9 pmid:32246291 fatcat:qujua7cvcnbvvelwuolpaygduu

Systems Patientomics: The virtual in-silico patient

D.V. Dimitrov
2014 European Journal of Molecular and Clinical Medicine  
Drug discovery, medical and welfare apparatus, and clinical trials in silico will improve the development of products with higher efficiency, reliability and safety while reducing cost.  ...  existing information, ultimately creating a "Patient Avatar" capable of supporting the medical professional by producing new clinical knowledge emerging from the integration of patient-and population-specific  ...  These added investments provide valuable contributions for later stage development where an understanding of the trial population response ahead of time is critical to defining the right clinical trial  ... 
doi:10.1016/j.nhtm.2014.08.002 fatcat:k2ehtzbldrgebl4nu4ijns63uu

Considerations for artificial intelligence clinical impact in oncologic imaging: an AI4HI position paper

Luis Marti-Bonmati, Dow-Mu Koh, Katrine Riklund, Maciej Bobowicz, Yiannis Roussakis, Joan C. Vilanova, Jurgen J. Fütterer, Jordi Rimola, Pedro Mallol, Gloria Ribas, Ana Miguel, Manolis Tsiknakis (+2 others)
2022 Insights into Imaging  
If effectively designed, implemented, and validated, cancer imaging AI-supported tools will have the potential to revolutionize the field of precision medicine in oncology.  ...  When designing an AI-based research study in oncologic imaging, ensuring clinical impact in AI solutions requires careful consideration of key aspects, including target population selection, sample size  ...  The following characteristics might serve as examples for observational, analytical, and in silico predictive studies in oncology: • Observational nature of the studies.  ... 
doi:10.1186/s13244-022-01220-9 pmid:35536446 pmcid:PMC9091068 fatcat:zjdpbi7b6bgczd3emn5a5nfe4m

Precision medicine in human heart modeling : Perspectives, challenges, and opportunities

M Peirlinck, F Sahli Costabal, J Yao, J M Guccione, S Tripathy, Y Wang, D Ozturk, P Segars, T M Morrison, S Levine, E Kuhl
2021 Biomechanics and Modeling in Mechanobiology  
With a view toward translational medicine, we provide a clinical perspective on virtual imaging trials and a regulatory perspective on medical device innovation.  ...  Precision medicine is a new frontier in healthcare that uses scientific methods to customize medical treatment to the individual genes, anatomy, physiology, and lifestyle of each person.  ...  The mention of commercial products, their sources, or their use in connection with material reported herein is not to be constructed as either an actual or implied endorsement of such products by the Department  ... 
doi:10.1007/s10237-021-01421-z pmid:33580313 pmcid:PMC8154814 fatcat:yt4jb7s445fdri6l4r65o47tba

Cardiovascular Diseases in the Digital Health Era: A Translational Approach from the Lab to the Clinic

Ana María Sánchez de la Nava, Lidia Gómez-Cid, Gonzalo Ricardo Ríos-Muñoz, María Eugenia Fernández-Santos, Ana I. Fernández, Ángel Arenal, Ricardo Sanz-Ruiz, Lilian Grigorian-Shamagian, Felipe Atienza, Francisco Fernández-Avilés
2022 BioTech  
This review aimed to identify and summarize the most important translational advances in the last years in the cardiovascular field together with the potential challenges that still remain in basic research  ...  This type of research has played a major role in the field of cardiovascular diseases, where the main objective has been to identify and transfer potential treatments identified at preclinical stages into  ...  The term in silico indicates any use of computers in clinical trials, even if limited to the management of clinical information in a database.  ... 
doi:10.3390/biotech11030023 pmid:35892928 pmcid:PMC9326743 fatcat:jamlrkgn6fho5aonyfzqnqywaa

In Silico Mathematical Modelling for Glioblastoma: A Critical Review and a Patient-Specific Case

Jacopo Falco, Abramo Agosti, Ignazio G. Vetrano, Alberto Bizzi, Francesco Restelli, Morgan Broggi, Marco Schiariti, Francesco DiMeco, Paolo Ferroli, Pasquale Ciarletta, Francesco Acerbi
2021 Journal of Clinical Medicine  
Further prospective comparative trials, however, are still necessary to prove the impact of mathematical neuro-oncology in clinical practice.  ...  A multidisciplinary approach combining mathematical, clinical and radiological data has the potential to foster our understanding of glioblastoma evolution in every single patient, with the aim of tailoring  ...  As abovementioned, RT is underrepresented in clinical trials. In silico comparison of different radiation regimens can help to fill in the gap created by the paucity of clinical trials on RT in GBM.  ... 
doi:10.3390/jcm10102169 pmid:34067871 fatcat:nm3livrwjzdg5jkxacxmw7rthm

Computational fluid dynamics modelling in cardiovascular medicine

Paul D Morris, Andrew Narracott, Hendrik von Tengg-Kobligk, Daniel Alejandro Silva Soto, Sarah Hsiao, Angela Lungu, Paul Evans, Neil W Bressloff, Patricia V Lawford, D Rodney Hose, Julian P Gunn
2015 Heart  
When combined with population-scale numerical models, these models have the potential to reduce the cost, time and risk associated with clinical trials.  ...  CFD models are now being translated into clinical tools for physicians to use across the spectrum of coronary, valvular, congenital, myocardial and peripheral vascular diseases.  ...  Acknowledgements Dr Morris is funded by a Clinical Research Training Fellowship from the British Heart Foundation. Figure 4 was kindly provided by Dr Alberto Marzo, University of Sheffield.  ... 
doi:10.1136/heartjnl-2015-308044 pmid:26512019 pmcid:PMC4717410 fatcat:nvi4g5bbcffi7gvqapy3nclpja

AI and Medical Imaging Informatics: Current Challenges and Future Directions

Andreas S. Panayides, Amir Amini, Nenad Filipovic, Ashish Sharma, Sotirios Tsaftaris, Alistair Young, David J. Foran, Nhan Do, Spyretta Golemati, Tahsin Kurc, Kun Huang, Konstantina S. Nikita (+4 others)
2020 IEEE journal of biomedical and health informatics  
Concluding, integrative analytics approaches driven by associate research branches highlighted in this study promise to revolutionize imaging informatics as known today across the healthcare continuum  ...  of AI in big healthcare data analytics.  ...  Integrative Analytics in Digital Pathology Recently, the scope of image-based investigations has expanded to include synthesis of results from pathology images, genome information and correlated clinical  ... 
doi:10.1109/jbhi.2020.2991043 pmid:32609615 pmcid:PMC8580417 fatcat:dcaefxwwqjfwla5asin34x2hxm

Objective task-based evaluation of artificial intelligence-based medical imaging methods: Framework, strategies and role of the physician [article]

Abhinav K. Jha, Kyle J. Myers, Nancy A. Obuchowski, Ziping Liu, Md Ashequr Rahman, Babak Saboury, Arman Rahmim, Barry A. Siegel
2021 arXiv   pre-print
Thus, there is substantial interest in clinical translation of these methods, requiring in turn, that they be evaluated rigorously.  ...  However, the framework is also applicable to evaluate other medical-imaging modalities and other types of AI methods.  ...  A focus in this paper has been providing tools to conduct OAIQ-based evaluation in silico using a VCT framework, where the patient population, imaging system and human observer are replaced by anthropomorphic  ... 
arXiv:2107.04540v2 fatcat:uhv6huod6zbj7muobclpkjkzfi

Academic medical centers as innovation ecosystems to address population –omics challenges in precision medicine

Patrick J. Silva, Valerie M. Schaibley, Kenneth S. Ramos
2018 Journal of Translational Medicine  
The reduction in sequencing costs has made it economically feasible to create large data commons capturing the diversity of disease across populations.  ...  -omic information in clinical decision making.  ...  Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.  ... 
doi:10.1186/s12967-018-1401-2 pmid:29448963 pmcid:PMC5815198 fatcat:we65gocvhjekvppxbqsdf3ecni

Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine

2020 Database: The Journal of Biological Databases and Curation  
Useful analytic tools, technologies, databases, and approaches are required to augment networking and interoperability of clinical, laboratory and public health systems, as well as addressing ethical and  ...  Precision medicine is one of the recent and powerful developments in medical care, which has the potential to improve the traditional symptom-driven practice of medicine, allowing earlier interventions  ...  We would like to give special thanks to Dr. Christopher Bonin for providing editorial support.  ... 
doi:10.1093/database/baaa010 pmid:32185396 pmcid:PMC7078068 fatcat:ypsuz5dewvcgtpjx4vjkhi545q

Developing a global strategy to prevent Alzheimer's disease: Leon Thal Symposium 2010

Zaven S. Khachaturian, Ronald C. Petersen, Peter J. Snyder, Ara S. Khachaturian, Paul Aisen, Mony de Leon, Barry D. Greenberg, Walter Kukull, Paul Maruff, Reisa A. Sperling, Yaakov Stern, Jacques Touchon (+5 others)
2011 Alzheimer's & Dementia  
The fourth Leon Thal Symposium (LTS2010) was convened in Toulouse, France, on November 3, 2010.  ...  Such datasets offer the potential to serve as the foundation for a systems-approach to solve the dual public health problems of: (1) early detection of people who are at elevated risk for Alzheimer's disease  ...  However, it will be important to see how the instruments perform in the general population first because this could be quite different from how they perform in a clinical trial population.  ... 
doi:10.1016/j.jalz.2011.02.005 pmid:21414553 fatcat:3y6satyk4fcbrdmuc2c6t2pa7y

How artificial intelligence might disrupt diagnostics in hematology in the near future

Wencke Walter, Claudia Haferlach, Niroshan Nadarajah, Ines Schmidts, Constanze Kühn, Wolfgang Kern, Torsten Haferlach
2021 Oncogene  
subtype or disease classification, and digital twin technology and in silico clinical trials.  ...  Either by the analysis of microscopic images of cells in cytomorphology or by the analysis of cell populations in bidimensional plots obtained by flow cytometry.  ...  The concept could be extended to in silico clinical trials, testing new drugs for a fraction of the current cost without putting patients at risk.  ... 
doi:10.1038/s41388-021-01861-y pmid:34103684 pmcid:PMC8225509 fatcat:7iw3pkuusbcqrfuojstigkulpu

Front Matter

2021 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)  
The intended audience of AI4US ranges from PhD students and resident doctors that are approaching the challenges of US image analysis with AI, to experienced researchers that may be interested in knowing  ...  The analytical capability of machine learning (ML) methods has proven to be extremely accurate and in some cases superior to classical statistical approaches for solving this task.  ...  Along with these molecular data, dense, rich phenotypic data are also available on comprehensive clinical data sets from health care provider organizations, clinical trials, population health registries  ... 
doi:10.1109/bhi50953.2021.9508590 fatcat:sba7l5z735arnnkksekqhmnifq
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