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  1. Article ; Online: A Glance at the Present and Future of Artificial Intelligence in Urology.

    Hung, Andrew J

    The Urologic clinics of North America

    2023  Volume 51, Issue 1, Page(s) xiii

    Language English
    Publishing date 2023-07-19
    Publishing country United States
    Document type Editorial
    ZDB-ID 192293-2
    ISSN 1558-318X ; 0094-0143
    ISSN (online) 1558-318X
    ISSN 0094-0143
    DOI 10.1016/j.ucl.2023.06.017
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Editorial Commentary.

    Hung, Andrew J

    Urology practice

    2021  Volume 8, Issue 3, Page(s) 400–401

    Language English
    Publishing date 2021-03-26
    Publishing country United States
    Document type Journal Article
    ISSN 2352-0787
    ISSN (online) 2352-0787
    DOI 10.1097/UPJ.0000000000000211.01
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Reply to Nikolaos Grivas, Nikolaos Kalampokis, and Henk van der Poel's Letter to the Editor re: Loc Trinh, Samuel Mingo, Erik B. Vanstrum, et al. Survival Analysis Using Surgeon Skill Metrics and Patient Factors to Predict Urinary Continence Recovery After Robot-assisted Radical Prostatectomy. Eur Urol Focus. In press. https://doi.org/10.1016/j.euf.2021.04.001.

    Hung, Andrew J

    European urology focus

    2021  Volume 8, Issue 5, Page(s) 1553

    MeSH term(s) Male ; Humans ; Robotics ; Benchmarking ; Prostatectomy ; Surgeons ; Survival Analysis
    Language English
    Publishing date 2021-07-02
    Publishing country Netherlands
    Document type Letter
    ISSN 2405-4569
    ISSN (online) 2405-4569
    DOI 10.1016/j.euf.2021.06.011
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Can machine-learning algorithms replace conventional statistics?

    Hung, Andrew J

    BJU international

    2019  Volume 123, Issue 1, Page(s) 1

    MeSH term(s) Algorithms ; Humans ; Machine Learning ; Male ; Prostatectomy ; Robotics
    Language English
    Publishing date 2019-01-03
    Publishing country England
    Document type Editorial ; Comment
    ZDB-ID 1462191-5
    ISSN 1464-410X ; 1464-4096 ; 1358-8672
    ISSN (online) 1464-410X
    ISSN 1464-4096 ; 1358-8672
    DOI 10.1111/bju.14542
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A better way to predict lymph node involvement using machine-learning?

    Hung, Andrew J

    BJU international

    2019  Volume 124, Issue 6, Page(s) 901–902

    MeSH term(s) Humans ; Lymph Node Excision ; Lymph Nodes ; Lymphatic Metastasis ; Machine Learning ; Male ; Prostatic Neoplasms
    Language English
    Publishing date 2019-11-25
    Publishing country England
    Document type Editorial ; Comment
    ZDB-ID 1462191-5
    ISSN 1464-410X ; 1464-4096 ; 1358-8672
    ISSN (online) 1464-410X
    ISSN 1464-4096 ; 1358-8672
    DOI 10.1111/bju.14937
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Clinical applications of artificial intelligence in robotic surgery.

    Knudsen, J Everett / Ghaffar, Umar / Ma, Runzhuo / Hung, Andrew J

    Journal of robotic surgery

    2024  Volume 18, Issue 1, Page(s) 102

    Abstract: Artificial intelligence (AI) is revolutionizing nearly every aspect of modern life. In the medical field, robotic surgery is the sector with some of the most innovative and impactful advancements. In this narrative review, we outline recent contributions ...

    Abstract Artificial intelligence (AI) is revolutionizing nearly every aspect of modern life. In the medical field, robotic surgery is the sector with some of the most innovative and impactful advancements. In this narrative review, we outline recent contributions of AI to the field of robotic surgery with a particular focus on intraoperative enhancement. AI modeling is allowing surgeons to have advanced intraoperative metrics such as force and tactile measurements, enhanced detection of positive surgical margins, and even allowing for the complete automation of certain steps in surgical procedures. AI is also Query revolutionizing the field of surgical education. AI modeling applied to intraoperative surgical video feeds and instrument kinematics data is allowing for the generation of automated skills assessments. AI also shows promise for the generation and delivery of highly specialized intraoperative surgical feedback for training surgeons. Although the adoption and integration of AI show promise in robotic surgery, it raises important, complex ethical questions. Frameworks for thinking through ethical dilemmas raised by AI are outlined in this review. AI enhancements in robotic surgery is some of the most groundbreaking research happening today, and the studies outlined in this review represent some of the most exciting innovations in recent years.
    MeSH term(s) Humans ; Artificial Intelligence ; Automation ; Benchmarking ; Robotic Surgical Procedures/methods ; Surgeons
    Language English
    Publishing date 2024-03-01
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2268283-1
    ISSN 1863-2491 ; 1863-2483
    ISSN (online) 1863-2491
    ISSN 1863-2483
    DOI 10.1007/s11701-024-01867-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Simulation training in urology.

    Knudsen, J Everett / Ma, Runzhuo / Hung, Andrew J

    Current opinion in urology

    2023  Volume 34, Issue 1, Page(s) 37–42

    Abstract: Purpose of review: This review outlines recent innovations in simulation technology as it applies to urology. It is essential for the next generation of urologists to attain a solid foundation of technical and nontechnical skills, and simulation ... ...

    Abstract Purpose of review: This review outlines recent innovations in simulation technology as it applies to urology. It is essential for the next generation of urologists to attain a solid foundation of technical and nontechnical skills, and simulation technology provides a variety of safe, controlled environments to acquire this baseline knowledge.
    Recent findings: With a focus on urology, this review first outlines the evidence to support surgical simulation, then discusses the strides being made in the development of 3D-printed models for surgical skill training and preoperative planning, virtual reality models for different urologic procedures, surgical skill assessment for simulation, and integration of simulation into urology residency curricula.
    Summary: Simulation continues to be an integral part of the journey towards the mastery of skills necessary for becoming an expert urologist. Clinicians and researchers should consider how to further incorporate simulation technology into residency training and help future generations of urologists throughout their career.
    MeSH term(s) Humans ; Urology/education ; Clinical Competence ; Internship and Residency ; Simulation Training/methods ; Computer Simulation ; Urologic Surgical Procedures
    Language English
    Publishing date 2023-11-01
    Publishing country United States
    Document type Review ; Journal Article
    ZDB-ID 1091792-5
    ISSN 1473-6586 ; 0963-0643
    ISSN (online) 1473-6586
    ISSN 0963-0643
    DOI 10.1097/MOU.0000000000001141
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Examination of β-lactoglobulin-ferulic acid complexation at elevated temperature using biochemical spectroscopy, proteomics and molecular dynamics

    Abdollahi, Kourosh / Condict, Lloyd / Hung, Andrew / Kasapis, Stefan

    Food hydrocolloids. 2023 Jan., v. 134

    2023  

    Abstract: The molecular nature of interactions between ferulic acid and β-lactoglobulin was investigated following exposure of solutions to high temperature (121 °C) at near neutral pH (7.3) using biochemical spectroscopy, proteomics and molecular dynamics. ... ...

    Abstract The molecular nature of interactions between ferulic acid and β-lactoglobulin was investigated following exposure of solutions to high temperature (121 °C) at near neutral pH (7.3) using biochemical spectroscopy, proteomics and molecular dynamics. Circular dichroism (CD) and infrared spectroscopy (FTIR) argue for alterations in the secondary structure of the heated protein molecule in the presence of the ligand. In addition, UV–vis recorded a considerable increase in the absorption of the β-lactoglobulin-ferulic acid preparation following heat treatment, an outcome which indicates the formation of a covalent interaction between the two components in the mixture. Molecular docking studies in combination with molecular dynamics simulations predicted the covalent interaction between lysine 100 and the aromatic ring of the phenolic acid along with a range of non-covalent bonds to form a new adduct. Protein hydrolysis experiments combined with MALDI-TOF MS analysis demonstrated the chemical nature of interaction between ferulic acid and ε amino group of the amino acid. It is hoped that the work will provide a broader understanding of the molecular interactions between phenolic acids and dairy proteins following thermal treatment at elevated temperature.
    Keywords absorption ; chemical bonding ; circular dichroism spectroscopy ; ferulic acid ; heat treatment ; hydrocolloids ; ligands ; lysine ; molecular dynamics ; pH ; proteolysis ; proteomics ; temperature
    Language English
    Dates of publication 2023-01
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 742742-6
    ISSN 1873-7137 ; 0268-005X
    ISSN (online) 1873-7137
    ISSN 0268-005X
    DOI 10.1016/j.foodhyd.2022.108053
    Database NAL-Catalogue (AGRICOLA)

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  9. Article ; Online: Interfacing β-casein - Phenolic compound interactions via molecular dynamics simulations with diffusion kinetics in delivery vehicles.

    Condict, Lloyd / Elliott, Shakira / Hung, Andrew / Ashton, John / Kasapis, Stefan

    Food chemistry

    2023  Volume 435, Page(s) 137595

    Abstract: The effect that protein-bioactive interactions may have on diffusion kinetics in foods and nutraceuticals was investigated by examining the diffusion kinetics of phenolic compounds (ferulic acid and epicatechin) of varying size, in the presence and ... ...

    Abstract The effect that protein-bioactive interactions may have on diffusion kinetics in foods and nutraceuticals was investigated by examining the diffusion kinetics of phenolic compounds (ferulic acid and epicatechin) of varying size, in the presence and absence of bovine β-casein. In the presence of the protein, the diffusion rate for ferulic acid and epicatechin was shown to decrease from 2.76 × 10
    MeSH term(s) Animals ; Cattle ; Caseins ; Molecular Dynamics Simulation ; Catechin ; Coumaric Acids/chemistry ; Phenols ; Kinetics
    Chemical Substances ferulic acid (AVM951ZWST) ; Caseins ; Catechin (8R1V1STN48) ; Coumaric Acids ; Phenols
    Language English
    Publishing date 2023-09-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 243123-3
    ISSN 1873-7072 ; 0308-8146
    ISSN (online) 1873-7072
    ISSN 0308-8146
    DOI 10.1016/j.foodchem.2023.137595
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Artificial intelligence and urology: ethical considerations for urologists and patients.

    Cacciamani, Giovanni E / Chen, Andrew / Gill, Inderbir S / Hung, Andrew J

    Nature reviews. Urology

    2023  Volume 21, Issue 1, Page(s) 50–59

    Abstract: The use of artificial intelligence (AI) in medicine and in urology specifically has increased over the past few years, during which time it has enabled optimization of patient workflow, increased diagnostic accuracy and enhanced computer analysis of ... ...

    Abstract The use of artificial intelligence (AI) in medicine and in urology specifically has increased over the past few years, during which time it has enabled optimization of patient workflow, increased diagnostic accuracy and enhanced computer analysis of radiological and pathological images. However, before further use of AI is undertaken, possible ethical issues need to be evaluated to improve understanding of this technology and to protect patients and providers. Possible ethical issues that require consideration when applying AI in clinical practice include patient safety, cybersecurity, transparency and interpretability of the data, inclusivity and equity, fostering responsibility and accountability, and the preservation of providers' decision-making and autonomy. Ethical principles for the application of AI to health care and in urology are proposed to guide urologists, patients and regulators to improve use of AI technologies and guide policy-making.
    MeSH term(s) Humans ; Artificial Intelligence ; Urology ; Urologists
    Language English
    Publishing date 2023-07-31
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2493737-X
    ISSN 1759-4820 ; 1759-4812
    ISSN (online) 1759-4820
    ISSN 1759-4812
    DOI 10.1038/s41585-023-00796-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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