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Czako L, Sufliarsky B, Simko K, Sovis M, Vidova I, Farska J, Lifková M, Hamar T, Galis B. Exploring the Practical Applications of Artificial Intelligence, Deep Learning, and Machine Learning in Maxillofacial Surgery: A Comprehensive Analysis of Published Works. Bioengineering (Basel) 2024; 11:679. [PMID: 39061761 PMCID: PMC11274331 DOI: 10.3390/bioengineering11070679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Revised: 05/29/2024] [Accepted: 06/13/2024] [Indexed: 07/28/2024] Open
Abstract
Artificial intelligence (AI), deep learning (DL), and machine learning (ML) are computer, machine, and engineering systems that mimic human intelligence to devise procedures. These technologies also provide opportunities to advance diagnostics and planning in human medicine and dentistry. The purpose of this literature review was to ascertain the applicability and significance of AI and to highlight its uses in maxillofacial surgery. Our primary inclusion criterion was an original paper written in English focusing on the use of AI, DL, or ML in maxillofacial surgery. The sources were PubMed, Scopus, and Web of Science, and the queries were made on the 31 December 2023. The search strings used were "artificial intelligence maxillofacial surgery", "machine learning maxillofacial surgery", and "deep learning maxillofacial surgery". Following the removal of duplicates, the remaining search results were screened by three independent operators to minimize the risk of bias. A total of 324 publications from 1992 to 2023 were finally selected. These were calculated according to the year of publication with a continuous increase (excluding 2012 and 2013) and R2 = 0.9295. Generally, in orthognathic dentistry and maxillofacial surgery, AI and ML have gained popularity over the past few decades. When we included the keywords "planning in maxillofacial surgery" and "planning in orthognathic surgery", the number significantly increased to 7535 publications. The first publication appeared in 1965, with an increasing trend (excluding 2014-2018), with an R2 value of 0.8642. These technologies have been found to be useful in diagnosis and treatment planning in head and neck surgical oncology, cosmetic and aesthetic surgery, and oral pathology. In orthognathic surgery, they have been utilized for diagnosis, treatment planning, assessment of treatment needs, and cephalometric analyses, among other applications. This review confirms that the current use of AI and ML in maxillofacial surgery is focused mainly on evaluating digital diagnostic methods, especially radiology, treatment plans, and postoperative results. However, as these technologies become integrated into maxillofacial surgery and robotic surgery in the head and neck region, it is expected that they will be gradually utilized to plan and comprehensively evaluate the success of maxillofacial surgeries.
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Affiliation(s)
- Ladislav Czako
- Department of Oral and Maxillofacial Surgery, Faculty of Medicine, Comenius University in Bratislava and University Hospital, Ruzinovska 6, 826 06 Bratislava, Slovakia; (L.C.); (K.S.); (M.S.); (I.V.); (J.F.); (B.G.)
| | - Barbora Sufliarsky
- Department of Oral and Maxillofacial Surgery, Faculty of Medicine, Comenius University in Bratislava and University Hospital, Ruzinovska 6, 826 06 Bratislava, Slovakia; (L.C.); (K.S.); (M.S.); (I.V.); (J.F.); (B.G.)
| | - Kristian Simko
- Department of Oral and Maxillofacial Surgery, Faculty of Medicine, Comenius University in Bratislava and University Hospital, Ruzinovska 6, 826 06 Bratislava, Slovakia; (L.C.); (K.S.); (M.S.); (I.V.); (J.F.); (B.G.)
| | - Marek Sovis
- Department of Oral and Maxillofacial Surgery, Faculty of Medicine, Comenius University in Bratislava and University Hospital, Ruzinovska 6, 826 06 Bratislava, Slovakia; (L.C.); (K.S.); (M.S.); (I.V.); (J.F.); (B.G.)
| | - Ivana Vidova
- Department of Oral and Maxillofacial Surgery, Faculty of Medicine, Comenius University in Bratislava and University Hospital, Ruzinovska 6, 826 06 Bratislava, Slovakia; (L.C.); (K.S.); (M.S.); (I.V.); (J.F.); (B.G.)
| | - Julia Farska
- Department of Oral and Maxillofacial Surgery, Faculty of Medicine, Comenius University in Bratislava and University Hospital, Ruzinovska 6, 826 06 Bratislava, Slovakia; (L.C.); (K.S.); (M.S.); (I.V.); (J.F.); (B.G.)
| | - Michaela Lifková
- Department of Stomatology and Maxillofacial Surgery, Faculty of Medicine, Comenius University in Bratislava, St. Elisabeth Hospital Bratislava, Heydukova 10, 812 50 Bratislava, Slovakia;
| | - Tomas Hamar
- Institute of Medical Terminology and Foreign Languages, Faculty of Medicine, Comenius University in Bratislava, Moskovska 2, 811 08 Bratislava, Slovakia;
| | - Branislav Galis
- Department of Oral and Maxillofacial Surgery, Faculty of Medicine, Comenius University in Bratislava and University Hospital, Ruzinovska 6, 826 06 Bratislava, Slovakia; (L.C.); (K.S.); (M.S.); (I.V.); (J.F.); (B.G.)
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Patrascanu OS, Tutunaru D, Musat CL, Dragostin OM, Fulga A, Nechita L, Ciubara AB, Piraianu AI, Stamate E, Poalelungi DG, Dragostin I, Iancu DCE, Ciubara A, Fulga I. Future Horizons: The Potential Role of Artificial Intelligence in Cardiology. J Pers Med 2024; 14:656. [PMID: 38929877 PMCID: PMC11204977 DOI: 10.3390/jpm14060656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 06/11/2024] [Accepted: 06/17/2024] [Indexed: 06/28/2024] Open
Abstract
Cardiovascular diseases (CVDs) are the leading cause of premature death and disability globally, leading to significant increases in healthcare costs and economic strains. Artificial intelligence (AI) is emerging as a crucial technology in this context, promising to have a significant impact on the management of CVDs. A wide range of methods can be used to develop effective models for medical applications, encompassing everything from predicting and diagnosing diseases to determining the most suitable treatment for individual patients. This literature review synthesizes findings from multiple studies that apply AI technologies such as machine learning algorithms and neural networks to electrocardiograms, echocardiography, coronary angiography, computed tomography, and cardiac magnetic resonance imaging. A narrative review of 127 articles identified 31 papers that were directly relevant to the research, encompassing a broad spectrum of AI applications in cardiology. These applications included AI models for ECG, echocardiography, coronary angiography, computed tomography, and cardiac MRI aimed at diagnosing various cardiovascular diseases such as coronary artery disease, hypertrophic cardiomyopathy, arrhythmias, pulmonary embolism, and valvulopathies. The papers also explored new methods for cardiovascular risk assessment, automated measurements, and optimizing treatment strategies, demonstrating the benefits of AI technologies in cardiology. In conclusion, the integration of artificial intelligence (AI) in cardiology promises substantial advancements in diagnosing and treating cardiovascular diseases.
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Affiliation(s)
- Octavian Stefan Patrascanu
- Department of Cardiology, University Emergency Hospital of Bucharest, 169 Splaiul Independentei St, 050098 Bucharest, Romania; (O.S.P.); (E.S.)
| | - Dana Tutunaru
- Faculty of Medicine and Pharmacy, Dunarea de Jos University of Galati, 35 AL Cuza St, 800010 Galati, Romania; (D.T.); (C.L.M.); (O.M.D.); (A.B.C.); (A.I.P.); (D.G.P.); (A.C.); (I.F.)
| | - Carmina Liana Musat
- Faculty of Medicine and Pharmacy, Dunarea de Jos University of Galati, 35 AL Cuza St, 800010 Galati, Romania; (D.T.); (C.L.M.); (O.M.D.); (A.B.C.); (A.I.P.); (D.G.P.); (A.C.); (I.F.)
| | - Oana Maria Dragostin
- Faculty of Medicine and Pharmacy, Dunarea de Jos University of Galati, 35 AL Cuza St, 800010 Galati, Romania; (D.T.); (C.L.M.); (O.M.D.); (A.B.C.); (A.I.P.); (D.G.P.); (A.C.); (I.F.)
| | - Ana Fulga
- Faculty of Medicine and Pharmacy, Dunarea de Jos University of Galati, 35 AL Cuza St, 800010 Galati, Romania; (D.T.); (C.L.M.); (O.M.D.); (A.B.C.); (A.I.P.); (D.G.P.); (A.C.); (I.F.)
| | - Luiza Nechita
- Faculty of Medicine and Pharmacy, Dunarea de Jos University of Galati, 35 AL Cuza St, 800010 Galati, Romania; (D.T.); (C.L.M.); (O.M.D.); (A.B.C.); (A.I.P.); (D.G.P.); (A.C.); (I.F.)
| | - Alexandru Bogdan Ciubara
- Faculty of Medicine and Pharmacy, Dunarea de Jos University of Galati, 35 AL Cuza St, 800010 Galati, Romania; (D.T.); (C.L.M.); (O.M.D.); (A.B.C.); (A.I.P.); (D.G.P.); (A.C.); (I.F.)
| | - Alin Ionut Piraianu
- Faculty of Medicine and Pharmacy, Dunarea de Jos University of Galati, 35 AL Cuza St, 800010 Galati, Romania; (D.T.); (C.L.M.); (O.M.D.); (A.B.C.); (A.I.P.); (D.G.P.); (A.C.); (I.F.)
| | - Elena Stamate
- Department of Cardiology, University Emergency Hospital of Bucharest, 169 Splaiul Independentei St, 050098 Bucharest, Romania; (O.S.P.); (E.S.)
- Faculty of Medicine and Pharmacy, Dunarea de Jos University of Galati, 35 AL Cuza St, 800010 Galati, Romania; (D.T.); (C.L.M.); (O.M.D.); (A.B.C.); (A.I.P.); (D.G.P.); (A.C.); (I.F.)
| | - Diana Gina Poalelungi
- Faculty of Medicine and Pharmacy, Dunarea de Jos University of Galati, 35 AL Cuza St, 800010 Galati, Romania; (D.T.); (C.L.M.); (O.M.D.); (A.B.C.); (A.I.P.); (D.G.P.); (A.C.); (I.F.)
| | - Ionut Dragostin
- Emergency County Clinical Hospital, 2 Buzaului St, 810325 Braila, Romania;
| | | | - Anamaria Ciubara
- Faculty of Medicine and Pharmacy, Dunarea de Jos University of Galati, 35 AL Cuza St, 800010 Galati, Romania; (D.T.); (C.L.M.); (O.M.D.); (A.B.C.); (A.I.P.); (D.G.P.); (A.C.); (I.F.)
| | - Iuliu Fulga
- Faculty of Medicine and Pharmacy, Dunarea de Jos University of Galati, 35 AL Cuza St, 800010 Galati, Romania; (D.T.); (C.L.M.); (O.M.D.); (A.B.C.); (A.I.P.); (D.G.P.); (A.C.); (I.F.)
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Schukow CP, Holmes C, Chambers M, Rayes O, Jackson NR, Deeken AH, Hlavaty LA. How (Cautious) Social Media Use May Improve Education and Pipeline Efforts of a Growing Postpandemic Forensic Pathologist Workforce Shortage. Am J Forensic Med Pathol 2024:00000433-990000000-00195. [PMID: 39018442 DOI: 10.1097/paf.0000000000000960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/19/2024]
Abstract
ABSTRACT Many subspecialties of pathology have initiated novel methods and strategies to connect with medical students and residents, stimulate interest, and offer mentorship. Emerging concern about the future of forensic pathology has been highlighted in contemporary literature as recruitment of new fellows has stagnated and workforce shortage concerns have blossomed. Amidst these challenges, the potential role of social networking platforms like social media (SoMe) in enhancing autopsy pathology/forensics education has garnered attention, yet literature focusing specifically on its application in autopsy and forensic pathology remains limited. This review aims to provide a comprehensive narrative overview of the current literature on the established uses of SoMe in forensic pathology. It seeks to build upon existing recommendations, introducing a contemporary compilation of online resources designed to facilitate virtual engagement among pathologists, learners, patients, and families. The review supports the idea that strategic, ethical, and conscientious use of SoMe has a place in addressing the growing workforce shortages and closing educational gaps in forensic pathology by enhancing exposure to the field and dispelling antiquated stereotypes.
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Affiliation(s)
- Casey P Schukow
- From the Department of Pathology, Corewell Health William Beaumont University Hospital Royal Oak, MI
| | - Carley Holmes
- From the Department of Pathology, Corewell Health William Beaumont University Hospital Royal Oak, MI
| | - Meagan Chambers
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA
| | | | - Nicole R Jackson
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA
| | - Amy H Deeken
- Department of Pathology, Summa Health Systems, Akron, OH
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Pham TD, Holmes SB, Coulthard P. A review on artificial intelligence for the diagnosis of fractures in facial trauma imaging. Front Artif Intell 2024; 6:1278529. [PMID: 38249794 PMCID: PMC10797131 DOI: 10.3389/frai.2023.1278529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 12/11/2023] [Indexed: 01/23/2024] Open
Abstract
Patients with facial trauma may suffer from injuries such as broken bones, bleeding, swelling, bruising, lacerations, burns, and deformity in the face. Common causes of facial-bone fractures are the results of road accidents, violence, and sports injuries. Surgery is needed if the trauma patient would be deprived of normal functioning or subject to facial deformity based on findings from radiology. Although the image reading by radiologists is useful for evaluating suspected facial fractures, there are certain challenges in human-based diagnostics. Artificial intelligence (AI) is making a quantum leap in radiology, producing significant improvements of reports and workflows. Here, an updated literature review is presented on the impact of AI in facial trauma with a special reference to fracture detection in radiology. The purpose is to gain insights into the current development and demand for future research in facial trauma. This review also discusses limitations to be overcome and current important issues for investigation in order to make AI applications to the trauma more effective and realistic in practical settings. The publications selected for review were based on their clinical significance, journal metrics, and journal indexing.
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Affiliation(s)
- Tuan D. Pham
- Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
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Rosendo LM, Antunes M, Simão AY, Brinca AT, Catarro G, Pelixo R, Martinho J, Pires B, Soares S, Cascalheira JF, Passarinha L, Rosado T, Barroso M, Gallardo E. Sensors in the Detection of Abused Substances in Forensic Contexts: A Comprehensive Review. MICROMACHINES 2023; 14:2249. [PMID: 38138418 PMCID: PMC10745465 DOI: 10.3390/mi14122249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 12/10/2023] [Accepted: 12/13/2023] [Indexed: 12/24/2023]
Abstract
Forensic toxicology plays a pivotal role in elucidating the presence of drugs of abuse in both biological and solid samples, thereby aiding criminal investigations and public health initiatives. This review article explores the significance of sensor technologies in this field, focusing on diverse applications and their impact on the determination of drug abuse markers. This manuscript intends to review the transformative role of portable sensor technologies in detecting drugs of abuse in various samples. They offer precise, efficient, and real-time detection capabilities in both biological samples and solid substances. These sensors have become indispensable tools, with particular applications in various scenarios, including traffic stops, crime scenes, and workplace drug testing. The integration of portable sensor technologies in forensic toxicology is a remarkable advancement in the field. It has not only improved the speed and accuracy of drug abuse detection but has also extended the reach of forensic toxicology, making it more accessible and versatile. These advancements continue to shape forensic toxicology, ensuring swift, precise, and reliable results in criminal investigations and public health endeavours.
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Affiliation(s)
- Luana M. Rosendo
- Centro de Investigação em Ciências da Saúde, Universidade da Beira Interior (CICS-UBI), 6200-506 Covilhã, Portugal; (L.M.R.); (M.A.); (A.Y.S.); (A.T.B.); (G.C.); (R.P.); (J.M.); (B.P.); (S.S.); (J.F.C.); (L.P.); (T.R.)
- Laboratório de Fármaco-Toxicologia, UBIMedical, Universidade da Beira Interior, EM506, 6200-000 Covilhã, Portugal
| | - Mónica Antunes
- Centro de Investigação em Ciências da Saúde, Universidade da Beira Interior (CICS-UBI), 6200-506 Covilhã, Portugal; (L.M.R.); (M.A.); (A.Y.S.); (A.T.B.); (G.C.); (R.P.); (J.M.); (B.P.); (S.S.); (J.F.C.); (L.P.); (T.R.)
- Laboratório de Fármaco-Toxicologia, UBIMedical, Universidade da Beira Interior, EM506, 6200-000 Covilhã, Portugal
| | - Ana Y. Simão
- Centro de Investigação em Ciências da Saúde, Universidade da Beira Interior (CICS-UBI), 6200-506 Covilhã, Portugal; (L.M.R.); (M.A.); (A.Y.S.); (A.T.B.); (G.C.); (R.P.); (J.M.); (B.P.); (S.S.); (J.F.C.); (L.P.); (T.R.)
- Laboratório de Fármaco-Toxicologia, UBIMedical, Universidade da Beira Interior, EM506, 6200-000 Covilhã, Portugal
| | - Ana Teresa Brinca
- Centro de Investigação em Ciências da Saúde, Universidade da Beira Interior (CICS-UBI), 6200-506 Covilhã, Portugal; (L.M.R.); (M.A.); (A.Y.S.); (A.T.B.); (G.C.); (R.P.); (J.M.); (B.P.); (S.S.); (J.F.C.); (L.P.); (T.R.)
- Laboratório de Fármaco-Toxicologia, UBIMedical, Universidade da Beira Interior, EM506, 6200-000 Covilhã, Portugal
| | - Gonçalo Catarro
- Centro de Investigação em Ciências da Saúde, Universidade da Beira Interior (CICS-UBI), 6200-506 Covilhã, Portugal; (L.M.R.); (M.A.); (A.Y.S.); (A.T.B.); (G.C.); (R.P.); (J.M.); (B.P.); (S.S.); (J.F.C.); (L.P.); (T.R.)
- Laboratório de Fármaco-Toxicologia, UBIMedical, Universidade da Beira Interior, EM506, 6200-000 Covilhã, Portugal
| | - Rodrigo Pelixo
- Centro de Investigação em Ciências da Saúde, Universidade da Beira Interior (CICS-UBI), 6200-506 Covilhã, Portugal; (L.M.R.); (M.A.); (A.Y.S.); (A.T.B.); (G.C.); (R.P.); (J.M.); (B.P.); (S.S.); (J.F.C.); (L.P.); (T.R.)
- Laboratório de Fármaco-Toxicologia, UBIMedical, Universidade da Beira Interior, EM506, 6200-000 Covilhã, Portugal
| | - João Martinho
- Centro de Investigação em Ciências da Saúde, Universidade da Beira Interior (CICS-UBI), 6200-506 Covilhã, Portugal; (L.M.R.); (M.A.); (A.Y.S.); (A.T.B.); (G.C.); (R.P.); (J.M.); (B.P.); (S.S.); (J.F.C.); (L.P.); (T.R.)
- Laboratório de Fármaco-Toxicologia, UBIMedical, Universidade da Beira Interior, EM506, 6200-000 Covilhã, Portugal
| | - Bruno Pires
- Centro de Investigação em Ciências da Saúde, Universidade da Beira Interior (CICS-UBI), 6200-506 Covilhã, Portugal; (L.M.R.); (M.A.); (A.Y.S.); (A.T.B.); (G.C.); (R.P.); (J.M.); (B.P.); (S.S.); (J.F.C.); (L.P.); (T.R.)
- Laboratório de Fármaco-Toxicologia, UBIMedical, Universidade da Beira Interior, EM506, 6200-000 Covilhã, Portugal
| | - Sofia Soares
- Centro de Investigação em Ciências da Saúde, Universidade da Beira Interior (CICS-UBI), 6200-506 Covilhã, Portugal; (L.M.R.); (M.A.); (A.Y.S.); (A.T.B.); (G.C.); (R.P.); (J.M.); (B.P.); (S.S.); (J.F.C.); (L.P.); (T.R.)
- Laboratório de Fármaco-Toxicologia, UBIMedical, Universidade da Beira Interior, EM506, 6200-000 Covilhã, Portugal
| | - José Francisco Cascalheira
- Centro de Investigação em Ciências da Saúde, Universidade da Beira Interior (CICS-UBI), 6200-506 Covilhã, Portugal; (L.M.R.); (M.A.); (A.Y.S.); (A.T.B.); (G.C.); (R.P.); (J.M.); (B.P.); (S.S.); (J.F.C.); (L.P.); (T.R.)
- Departamento de Química, Universidade da Beira Interior, 6200-001 Covilhã, Portugal
| | - Luís Passarinha
- Centro de Investigação em Ciências da Saúde, Universidade da Beira Interior (CICS-UBI), 6200-506 Covilhã, Portugal; (L.M.R.); (M.A.); (A.Y.S.); (A.T.B.); (G.C.); (R.P.); (J.M.); (B.P.); (S.S.); (J.F.C.); (L.P.); (T.R.)
- Laboratório de Fármaco-Toxicologia, UBIMedical, Universidade da Beira Interior, EM506, 6200-000 Covilhã, Portugal
- Associate Laboratory i4HB-Institute for Health and Bioeconomy, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2819-516 Caparica, Portugal
- UCIBIO-Applied Molecular Biosciences Unit, Chemistry Department, NOVA School of Science and Technology, 2829-516 Caparica, Portugal
| | - Tiago Rosado
- Centro de Investigação em Ciências da Saúde, Universidade da Beira Interior (CICS-UBI), 6200-506 Covilhã, Portugal; (L.M.R.); (M.A.); (A.Y.S.); (A.T.B.); (G.C.); (R.P.); (J.M.); (B.P.); (S.S.); (J.F.C.); (L.P.); (T.R.)
- Laboratório de Fármaco-Toxicologia, UBIMedical, Universidade da Beira Interior, EM506, 6200-000 Covilhã, Portugal
- Centro Académico Clínico das Beiras (CACB)—Grupo de Problemas Relacionados com Toxicofilias, 6200-000 Covilhã, Portugal
| | - Mário Barroso
- Serviço de Química e Toxicologia Forenses, Instituto de Medicina Legal e Ciências Forenses—Delegação do Sul, 1169-201 Lisboa, Portugal
| | - Eugenia Gallardo
- Centro de Investigação em Ciências da Saúde, Universidade da Beira Interior (CICS-UBI), 6200-506 Covilhã, Portugal; (L.M.R.); (M.A.); (A.Y.S.); (A.T.B.); (G.C.); (R.P.); (J.M.); (B.P.); (S.S.); (J.F.C.); (L.P.); (T.R.)
- Laboratório de Fármaco-Toxicologia, UBIMedical, Universidade da Beira Interior, EM506, 6200-000 Covilhã, Portugal
- Centro Académico Clínico das Beiras (CACB)—Grupo de Problemas Relacionados com Toxicofilias, 6200-000 Covilhã, Portugal
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