{
    "abstract": "Artificial Intelligence (AI) beginning to integrate in healthcare, is ushering in a transformative era, impacting diagnostics, altering personalized treatment, and significantly improving operational efficiency. The study aims to describe AI in healthcare, including important technologies like robotics, machine learning (ML), deep learning (DL), and natural language processing (NLP), and to investigate how these technologies are used in patient interaction, predictive analytics, and remote monitoring. The goal of this review is to present a thorough analysis of AI's effects on healthcare while providing stakeholders with a road map for navigating this changing environment.\nThis review analyzes the impact of AI on healthcare using data from the Web of Science (2014-2024), focusing on keywords like AI, ML, and healthcare applications. It examines the uses and effects of AI on healthcare by synthesizing recent literature and real-world case studies, such as Google Health and IBM Watson Health, highlighting AI technologies, their useful applications, and the difficulties in putting them into practice, including problems with data security and resource limitations. The review also discusses new developments in AI, and how they can affect society.\nThe findings demonstrate how AI is enhancing the skills of medical professionals, enhancing diagnosis, and opening the door to more individualized treatment plans, as reflected in the steady rise of AI-related healthcare publications from 158 articles (3.54%) in 2014 to 731 articles (16.33%) by 2024. Core applications like remote monitoring and predictive analytics improve operational effectiveness and patient involvement. However, there are major obstacles to the mainstream implementation of AI in healthcare, including issues with data security and budget constraints.\nHealthcare may be transformed by AI, but its successful use requires ethical and responsible use. To meet the changing demands of the healthcare sector and guarantee the responsible application of AI technologies, the evaluation highlights the necessity of ongoing research, instruction, and multidisciplinary cooperation. In the future, integrating AI responsibly will be essential to optimizing its advantages and reducing related dangers.",
    "authors": [
        {
            "affiliation": "School of Pharmacy Al-Karim University Katihar India.\nCentre for Global Health Research Saveetha Institute of Medical and Technical Sciences Tamil Nadu India.",
            "firstname": "Md",
            "initials": "M",
            "lastname": "Faiyazuddin"
        },
        {
            "affiliation": "Novo Nordisk Inc. Plainsboro New Jersey USA.\nUniversity of Cumberlands Kentucky USA.",
            "firstname": "Syed Jalal Q",
            "initials": "SJQ",
            "lastname": "Rahman"
        },
        {
            "affiliation": "Medical Writing Tata Consultancy Services Noida Uttar Pradesh India.",
            "firstname": "Gaurav",
            "initials": "G",
            "lastname": "Anand"
        },
        {
            "affiliation": "Ego Pharmaceuticals Knutsford UK.",
            "firstname": "Reyaz Kausar",
            "initials": "RK",
            "lastname": "Siddiqui"
        },
        {
            "affiliation": "Dr Lal PathLabs Nepal, Chandol Kathmandu 44600 Nepal.\nClinical Microbiology, RDC, Manav Rachna International Institute of Research and Studies Faridabad Haryana India.",
            "firstname": "Rachana",
            "initials": "R",
            "lastname": "Mehta"
        },
        {
            "affiliation": "Division of Evidence Synthesis, Global Consortium of Public Health and Research Datta Meghe Institute of Higher Education Wardha India.",
            "firstname": "Mahalaqua Nazli",
            "initials": "MN",
            "lastname": "Khatib"
        },
        {
            "affiliation": "One Health Centre (COHERD), Jawaharlal Nehru Medical College Datta Meghe Institute of Higher Education Wardha India.",
            "firstname": "Shilpa",
            "initials": "S",
            "lastname": "Gaidhane"
        },
        {
            "affiliation": "Global Health Academy, Division of Evidence Synthesis, School of Epidemiology and Public Health and Research, Jawaharlal Nehru Medical College Datta Meghe Institute of Higher Education and Research Wardha India.",
            "firstname": "Quazi Syed",
            "initials": "QS",
            "lastname": "Zahiruddin"
        },
        {
            "affiliation": "School of Life Sciences Manipal Academy of Higher Education-Dubai Campus Dubai United Arab Emirates.",
            "firstname": "Arif",
            "initials": "A",
            "lastname": "Hussain"
        },
        {
            "affiliation": "Department of Microbiology Dr D. Y. Patil Medical College, Hospital and Research Centre, Dr D. Y. Patil Vidyapeeth (Deemed-to-be-University) Pune Maharashtra India.\nDepartment of Public Health Dentistry Dr. D.Y. Patil Dental College and Hospital, Dr. D.Y. Patil Vidyapeeth Pune Maharashtra India.\nSR Sanjeevani Hospital, Kalyanpur-10 Siraha Nepal.",
            "firstname": "Ranjit",
            "initials": "R",
            "lastname": "Sah"
        }
    ],
    "conclusions": "Healthcare may be transformed by AI, but its successful use requires ethical and responsible use. To meet the changing demands of the healthcare sector and guarantee the responsible application of AI technologies, the evaluation highlights the necessity of ongoing research, instruction, and multidisciplinary cooperation. In the future, integrating AI responsibly will be essential to optimizing its advantages and reducing related dangers.",
    "copyrights": "\u00a9 2025 The Author(s). Health Science Reports published by Wiley Periodicals LLC.",
    "doi": "10.1002/hsr2.70312\n10.7861/fhj.2021-0095\n10.1007/s12652-021-03612-z\n10.1016/B978-0-12-818438-7.00002-2\n10.7861/futurehosp.6-2-94\n10.2196/40973\n10.3390/diagnostics13172760\n10.1186/s12909-023-04698-z\n10.1016/j.ijinfomgt.2023.102642\n10.1038/s41568-018-0016-5\n10.3390/pharmaceutics15071916\n10.1167/tvst.9.2.45\n10.1007/s44174-023-00063-2\n10.1186/s40537-019-0217-0\n10.1016/j.socscimed.2022.114782\n10.1186/s12910-021-00687-3\n10.1007/s40593-022-00313-2\n10.4103/tcmj.tcmj_71_20\n10.5414/CP203800\n10.1016/j.drudis.2020.10.010\n10.1111/cts.12884\n10.3390/ph16091259\n10.7759/cureus.44374\n10.13063/2327-9214.1222\n10.3390/fi15090286\n10.2196/40789\n10.3390/ijerph20043407\n10.1155/2022/4653923\n10.3390/fi15070227\n10.1177/20552076231186520\n10.3390/info14020085\n10.1186/s12913-022-08215-8\n10.2196/16866\n10.1007/s10586-022-03658-4\n10.1016/j.hlpt.2022.100702\n10.7759/cureus.46454\n10.7717/peerj.7702\n10.1053/j.semdp.2023.02.002\n10.3390/jpm13060951\n10.3390/su15086655\n10.1016/j.cie.2022.108815\n10.3390/ph16060891\n10.3389/fdgth.2021.645232\n10.1016/j.sintl.2021.100117\n10.3390/app13010325\n10.1016/B978-0-323-89925-3.00017-4\n10.1088/1742-6596/933/1/012010\n10.1186/s12916-019-1426-2\n10.1002/9781119865728.ch12\n10.3390/ijms24076573\n10.3390/bios12080562\n10.3389/fsurg.2022.862322\n10.1016/j.drudis.2021.05.019\n10.1016/j.ijinfomgt.2021.102383\n10.1016/B978-0-12-818438-7.00012-5\n10.1007/s13205-022-03165-8\n10.1038/s42256-020-00285-9\n10.1016/j.cma.2021.114079\n10.1007/s13132-023-01433-3\n10.1038/s41467-022-33581-6\n10.1016/B978-0-323-89925-3.00001-0\n10.3390/jpm13081214\n10.1016/B978-0-323-89925-3.00016-2\n10.1038/s43246-022-00315-6\n10.1016/j.sbi.2023.102616\n10.1021/acs.jcim.0c01496\n10.1016/j.imu.2022.101139\n10.3390/encyclopedia1010021\n10.1186/s12967-020-02658-5\n10.1007/s10462-023-10443-1\n10.1016/j.acra.2023.03.040\n10.3390/s23083962\n10.1016/j.compbiomed.2024.108702",
    "journal": "Health science reports",
    "keywords": [
        "AI ethics",
        "AI technologies",
        "Healthcare Business",
        "data Analytics",
        "digital Health"
    ],
    "methods": null,
    "publication_date": "2025-01-07",
    "pubmed_id": "39763580\n34286183\n35039756\n31363513\n38875561\n37685300\n37740191\n29777175\n37514102\n32879755\n36785697\n35152047\n34525993\n33163378\n33210994\n33099022\n32961010\n37765069\n37664359\n27683664\n36826990\n36834105\n35480146\n37426593\n35778736\n32130134\n35996680\n37927664\n31592346\n36870825\n37373940\n36405396\n37375838\n34713115\n34806053\n31665002\n37047543\n35892459\n35360424\n34082136\n35433167\n33796820\n36195614\n37623465\n36468086\n37267824\n34699719\n33298113\n37120403\n37112302\n38878397",
    "results": "The findings demonstrate how AI is enhancing the skills of medical professionals, enhancing diagnosis, and opening the door to more individualized treatment plans, as reflected in the steady rise of AI-related healthcare publications from 158 articles (3.54%) in 2014 to 731 articles (16.33%) by 2024. Core applications like remote monitoring and predictive analytics improve operational effectiveness and patient involvement. However, there are major obstacles to the mainstream implementation of AI in healthcare, including issues with data security and budget constraints.",
    "title": "The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency.",
    "xml": "<Element 'PubmedArticle' at 0x78850376fd30>"
}