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Spadafora L, Comandini GL, Giordano S, Polimeni A, Perone F, Sabouret P, Leonetti M, Cacciatore S, Cacia M, Betti M, Bernardi M, Zimatore FR, Russo F, Iervolino A, Aulino G, Moscardelli A. Blockchain technology in Cardiovascular Medicine: a glance to the future? Results from a social media survey and future perspectives. Minerva Cardiol Angiol 2024; 72:1-10. [PMID: 37971710 DOI: 10.23736/s2724-5683.23.06457-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
The leverage of digital facilities in medicine for disease diagnosis, monitoring, and medical history recording has become increasingly pivotal. However, the advancement of these technologies poses a significant challenge regarding data privacy, given the highly sensitive nature of medical information. In this context, the application of Blockchain technology, a digital system where information is stored in blocks and each block is linked to the one before, has the potential to enhance existing technologies through its exceptional security and transparency. This paradigm is of particular importance in cardiovascular medicine, where the prevalence of chronic conditions leads to the need for secure remote monitoring, secure data storage and secure medical history updating. Indeed, digital support for chronic cardiovascular pathologies is getting more and more crucial. This paper lays its rationale in three primary aims: 1) to scrutinize the existing literature for tangible applications of blockchain technology in the field of cardiology; 2) to report results from a survey aimed at gauging the reception of blockchain technology within the cardiovascular community, conducted on social media; 3) to conceptualize a web application tailored specifically to cardiovascular care based on blockchain technology. We believe that Blockchain technology may contribute to a breakthrough in healthcare digitalization, especially in the field of cardiology; in this context, we hope that the present work may be inspiring for physicians and healthcare stakeholders.
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Affiliation(s)
- Luigi Spadafora
- Department of Clinical, Internal Medicine, Anesthesiology and Cardiovascular Sciences, Sapienza University, Rome, Italy -
| | - Gian L Comandini
- Department of Engineering, Guglielmo Marconi University, Rome, Italy
- Department of Economics and Law, University of Macerata, Macerata, Italy
| | - Salvatore Giordano
- Division of Cardiology, Department of Medical and Surgical Sciences, Magna Græcia University, Catanzaro, Italy
| | - Alberto Polimeni
- Division of Cardiology, Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Cosenza, Italy
| | - Francesco Perone
- Cardiac Rehabilitation Unit, Villa delle Magnolie Rehabilitation Clinic, Castel Morrone, Caserta, Italy
| | - Pierre Sabouret
- Heart Institute and Action Group, Pitié-Salpétrière, Sorbonne University, Paris, France
- National College of French Cardiologists, Paris, France
| | | | - Stefano Cacciatore
- Department of Geriatrics, Orthopedics and Rheumatology, Sacred Heart Catholic University, Rome, Italy
| | - Michele Cacia
- Cardiology Unit, A.O.U. Renato Dulbecco, Catanzaro, Italy
- Department of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy
| | - Matteo Betti
- Cardiovascular Section, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
- Centro Cardiologico Monzino IRCCS, Milan, Italy
| | - Marco Bernardi
- Department of Clinical, Internal Medicine, Anesthesiology and Cardiovascular Sciences, Sapienza University, Rome, Italy
| | | | | | - Adelaide Iervolino
- Department of Clinical Medicine and Surgery, Federico II University Hospital, Naples, Italy
| | - Giovanni Aulino
- Section of Legal Medicine, Department of Health Surveillance and Bioethics, IRCCS A. Gemelli University Polyclinic Foundation, Sacred Heart Catholic University, Rome, Italy
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Avella P, Cappuccio M, Cappuccio T, Rotondo M, Fumarulo D, Guerra G, Sciaudone G, Santone A, Cammilleri F, Bianco P, Brunese MC. Artificial Intelligence to Early Predict Liver Metastases in Patients with Colorectal Cancer: Current Status and Future Prospectives. Life (Basel) 2023; 13:2027. [PMID: 37895409 PMCID: PMC10608483 DOI: 10.3390/life13102027] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 10/05/2023] [Accepted: 10/07/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND Artificial Intelligence (AI)-based analysis represents an evolving medical field. In the last few decades, several studies have reported the diagnostic efficiency of AI applied to Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) to early detect liver metastases (LM), mainly from colorectal cancer. Despite the increase in information and the development of different procedures in several radiological fields, an accurate method of predicting LM has not yet been found. This review aims to compare the diagnostic efficiency of different AI methods in the literature according to accuracy, sensibility, precision, and recall to identify early LM. METHODS A narrative review of the literature was conducted on PubMed. A total of 336 studies were screened. RESULTS We selected 17 studies from 2012 to 2022. In total, 14,475 patients were included, and more than 95% were affected by colorectal cancer. The most frequently used imaging tool to early detect LM was found to be CT (58%), while MRI was used in three cases. Four different AI analyses were used: deep learning, radiomics, machine learning, and fuzzy systems in seven (41.18%), five (29.41%), four (23.53%), and one (5.88%) cases, respectively. Four studies achieved an accuracy of more than 90% after MRI and CT scan acquisition, while just two reported a recall rate ≥90% (one method using MRI and CT and one CT). CONCLUSIONS Routinely acquired radiological images could be used for AI-based analysis to early detect LM. Simultaneous use of radiomics and machine learning analysis applied to MRI or CT images should be an effective method considering the better results achieved in the clinical scenario.
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Affiliation(s)
- Pasquale Avella
- HPB Surgery Unit, Pineta Grande Hospital, Castel Volturno, 81030 Caserta, Italy;
- Department of Clinical Medicine and Surgery, University of Naples “Federico II”, 80131 Naples, Italy
| | - Micaela Cappuccio
- Department of Clinical Medicine and Surgery, University of Naples “Federico II”, 80131 Naples, Italy
| | - Teresa Cappuccio
- Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, 86100 Campobasso, Italy; (T.C.); (M.R.); (D.F.); (G.G.); (G.S.); (A.S.); (M.C.B.)
| | - Marco Rotondo
- Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, 86100 Campobasso, Italy; (T.C.); (M.R.); (D.F.); (G.G.); (G.S.); (A.S.); (M.C.B.)
| | - Daniela Fumarulo
- Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, 86100 Campobasso, Italy; (T.C.); (M.R.); (D.F.); (G.G.); (G.S.); (A.S.); (M.C.B.)
| | - Germano Guerra
- Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, 86100 Campobasso, Italy; (T.C.); (M.R.); (D.F.); (G.G.); (G.S.); (A.S.); (M.C.B.)
| | - Guido Sciaudone
- Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, 86100 Campobasso, Italy; (T.C.); (M.R.); (D.F.); (G.G.); (G.S.); (A.S.); (M.C.B.)
| | - Antonella Santone
- Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, 86100 Campobasso, Italy; (T.C.); (M.R.); (D.F.); (G.G.); (G.S.); (A.S.); (M.C.B.)
| | | | - Paolo Bianco
- HPB Surgery Unit, Pineta Grande Hospital, Castel Volturno, 81030 Caserta, Italy;
| | - Maria Chiara Brunese
- Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, 86100 Campobasso, Italy; (T.C.); (M.R.); (D.F.); (G.G.); (G.S.); (A.S.); (M.C.B.)
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Barrera JA, Trotsyuk AA, Henn D, Sivaraj D, Chen K, Mittal S, Mermin-Bunnell AM, Larson MR, Padmanabhan J, Kinney B, Nachbar J, Sacks J, Terkonda SP, Jeffers L, Gurtner GC. Blockchain, Information Security, Control, and Integrity: Who Is in Charge? Plast Reconstr Surg 2023; 152:751e-758e. [PMID: 36917745 DOI: 10.1097/prs.0000000000010409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/15/2023]
Abstract
SUMMARY Blockchain technology has attracted substantial interest in recent years, most notably for its effect on global economics through the advent of cryptocurrency. Within the health care domain, blockchain technology has been actively explored as a tool for improving personal health data management, medical device security, and clinical trial management. Despite a strong demand for innovation and cutting-edge technology in plastic surgery, integration of blockchain technologies within plastic surgery is in its infancy. Recent advances and mainstream adoption of blockchain are gaining momentum and have shown significant promise for improving patient care and information management. In this article, the authors explain what defines a blockchain and discuss its history and potential applications in plastic surgery. Existing evidence suggests that blockchain can enable patient-centered data management, improve privacy, and provide additional safeguards against human error. Integration of blockchain technology into clinical practice requires further research and development to demonstrate its safety and efficacy for patients and providers.
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Affiliation(s)
- Janos A Barrera
- From the Department of Surgery, Stanford University School of Medicine
| | - Artem A Trotsyuk
- From the Department of Surgery, Stanford University School of Medicine
| | - Dominic Henn
- From the Department of Surgery, Stanford University School of Medicine
- Department of Hand, Plastic, and Reconstructive Surgery, BG Trauma Center Ludwigshafen, Ruprecht-Karls-University of Heidelberg
| | - Dharshan Sivaraj
- From the Department of Surgery, Stanford University School of Medicine
| | - Kellen Chen
- From the Department of Surgery, Stanford University School of Medicine
| | - Smiti Mittal
- From the Department of Surgery, Stanford University School of Medicine
| | | | - Madelyn R Larson
- From the Department of Surgery, Stanford University School of Medicine
| | | | | | | | - Justin Sacks
- Department of Surgery, Washington University School of Medicine
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How do Plastic Surgeons use the Metaverse: A Systematic Review. J Craniofac Surg 2023; 34:548-550. [PMID: 36730928 DOI: 10.1097/scs.0000000000009100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 09/05/2022] [Indexed: 02/04/2023] Open
Abstract
OBJECTIVE In 2021, metaverse became a buzzword. The metaverse is a digital virtual world in which people can live as a digital virtual identity. In the metaverse, people can participate in making rules and create their own worlds. As plastic surgeons in the new era, we have been thinking about the application of the metaverse in plastic surgery. Therefore, we carried out this study to systematically review the current published articles on the application of metaverse in medicine, so as to provide a reference for the rational and effective application of metaverse by plastic surgeons in the future. METHODS The researchers searched the Wanfang, Weipu, China National Knowledge Infrastructure (CNKI), PubMed, the Cochrane Library, and the Embase database. The retrieval time was set from the database establishment to April 2022. All studies on the use of the metaverse in medicine were included in our study. RESULTS A total of 4 studies were included in this study. According to our study, the metaverse is mostly used for skill training for residents and medical students. The metaverse was used for the first time to train doctors in lung cancer surgery at Seoul National University Bundang Hospital, Korea. Augmented reality in the metaverse has also been used to aid surgery and to address a variety of medical and mental health problems for patients. CONCLUSION At present, the application of metaverse is still in the preliminary stage of exploration, and the practical effect of metaverse on plastic surgery needs to be observed and evaluated. Although there are still many problems in the metaverse, the new medical model of plastic surgery supported by the metaverse is worth looking forward to.
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Anselmo A, Materazzo M, Di Lorenzo N, Sensi B, Riccetti C, Lonardo MT, Pellicciaro M, D’Amico F, Siragusa L, Tisone G. Implementation of Blockchain Technology Could Increase Equity and Transparency in Organ Transplantation: A Narrative Review of an Emergent Tool. Transpl Int 2023; 36:10800. [PMID: 36846602 PMCID: PMC9945518 DOI: 10.3389/ti.2023.10800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 01/02/2023] [Indexed: 02/11/2023]
Abstract
In the last few years, innovative technology and health care digitalization played a major role in all medical fields and a great effort worldwide to manage this large amount of data, in terms of security and digital privacy has been made by different national health systems. Blockchain technology, a peer-to-peer distributed database without centralized authority, initially applied to Bitcoin protocol, soon gained popularity, thanks to its distributed immutable nature in several non-medical fields. Therefore, the aim of the present review (PROSPERO N° CRD42022316661) is to establish a putative future role of blockchain and distribution ledger technology (DLT) in the organ transplantation field and its role to overcome inequalities. Preoperative assessment of the deceased donor, supranational crossover programs with the international waitlist databases, and reduction of black-market donations and counterfeit drugs are some of the possible applications of DLT, thanks to its distributed, efficient, secure, trackable, and immutable nature to reduce inequalities and discrimination.
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Affiliation(s)
- Alessandro Anselmo
- Department of Surgical Science, University of Rome “Tor Vergata”, Rome, Italy
| | - Marco Materazzo
- Department of Surgical Science, University of Rome “Tor Vergata”, Rome, Italy
| | - Nicola Di Lorenzo
- Department of Surgical Science, University of Rome “Tor Vergata”, Rome, Italy
| | - Bruno Sensi
- Department of Surgical Science, University of Rome “Tor Vergata”, Rome, Italy
| | - Camilla Riccetti
- Department of Surgical Science, University of Rome “Tor Vergata”, Rome, Italy
| | | | - Marco Pellicciaro
- Department of Surgical Science, University of Rome “Tor Vergata”, Rome, Italy
| | - Francesco D’Amico
- Transplantation and Hepatobiliary Surgery, University of Padova, Padova, Italy
| | - Leandro Siragusa
- Department of Surgical Science, University of Rome “Tor Vergata”, Rome, Italy
| | - Giuseppe Tisone
- Department of Surgical Science, University of Rome “Tor Vergata”, Rome, Italy
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Bissacco D, Carrano FM, De Rossi LM, Abbatemarco N, Di Lorenzo N, Casana R, Sileri P. Blockchain technology in healthcare: Do we really need it? HEALTH POLICY AND TECHNOLOGY 2022. [DOI: 10.1016/j.hlpt.2022.100716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Astakhova LV, Kalyazin NV. Non-Fungible Tokens (NFT) as a Means and Object of Ensuring Information Security. AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS 2022. [DOI: 10.3103/s0005105522030062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Batchu S, Henry OS, Patel K, Hakim A, Atabek U, Spitz FR, Hong YK. Blockchain and non-fungible tokens (NFTs) in surgery: hype or hope? SURGERY IN PRACTICE AND SCIENCE 2022. [DOI: 10.1016/j.sipas.2022.100065] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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