Artificial intelligence in healthcare: A focus on the best practices by Haddiya Intissar, Ramdani Sara

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Integrating artificial intelligence into healthcare systems: opportunities and challenges by Bongs Lainjo

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Artificial Intelligence in Healthcare: Current Trends and Future Directions by Shambo Samrat Samajdar, Rupak Chatterjee, Shatavisa Mukherjee, Amit Dey, Bharat Saboo, Jyotirmoy Pal, Shashank Joshi, Nandini Chatterjee

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Artificial intelligence in healthcare: A double-edged sword by Mallanagouda M. Patil

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Evolution of artificial intelligence in healthcare: a 30-year bibliometric study by Yaojue Xie, Yuansheng Zhai, Yuansheng Zhai, Guihua Lu, Guihua Lu

“…This study undertakes a dynamic and longitudinal bibliometric analysis of AI publications within the healthcare sector over the past three decades to investigate the current status and trends of the fusion between medicine and artificial intelligence.MethodsFollowing a search on the Web of Science, researchers retrieved all reviews and original articles concerning artificial intelligence in healthcare published between January 1993 and December 2023. …”
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Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis by Jing Gao, Xinyu Chen, Xiaolian Jiang, Chenxi Wu, Huiqiong Xu, Dingxi Bai

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Refusing participation: hesitations about designing responsible patient engagement with artificial intelligence in healthcare by Flora Lysen, Sally Wyatt

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Knowledge, attitudes, and perceptions of healthcare students and professionals on the use of artificial intelligence in healthcare in Pakistan. by Muhammad Mustafa Habib, Zahra Hoodbhoy, M A Rehman Siddiqui

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Artificial intelligence in healthcare: transforming patient safety with intelligent systems—A systematic review by Francesco De Micco, Francesco De Micco, Gianmarco Di Palma, Gianmarco Di Palma, Davide Ferorelli, Anna De Benedictis, Anna De Benedictis, Luca Tomassini, Vittoradolfo Tambone, Mariano Cingolani, Roberto Scendoni, Roberto Scendoni

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The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency by Md. Faiyazuddin, Syed Jalal Q. Rahman, Gaurav Anand, Reyaz Kausar Siddiqui, Rachana Mehta, Mahalaqua Nazli Khatib, Shilpa Gaidhane, Quazi Syed Zahiruddin, Arif Hussain, Ranjit Sah

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Validating a novel measure for assessing patient openness and concerns about using artificial intelligence in healthcare by Bryan A. Sisk, Alison L. Antes, Sunny C. Lin, Paige Nong, James M. DuBois

“…Methods We adapted the 33‐item “Attitudes toward Artificial Intelligence in Healthcare for Parents” measure for administration to adults in the general US population (AAIH‐A), recruiting participants through Amazon's Mechanical Turk (MTurk) crowdsourcing platform. …”
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Application of Infrared Thermography and Artificial Intelligence in Healthcare: A Systematic Review of Over a Decade (2013–2024) by Jahmunah Vicnesh, Massimo Salvi, Yuki Hagiwara, Hah Yan Yee, Hasan Mir, Prabal Datta Barua, Subrata Chakraborty, Filippo Molinari, U. Rajendra Acharya

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'Medical Minds and Machine Learning': Awareness and Opinions on Artificial Intelligence in Healthcare among Undergraduate Medical Students of a Tertiary Care Institute of Kolkata, India by Pattanayak Shalini, Basu Mausumi, Sinha Debasish, Kerketta Prince

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Revolutionizing Diabetic Retinopathy Screening: Integrating AI-Based Retinal Imaging in Primary Care by Dean Beals, Lesley Simon, Faith Rogers, Stan Pogroszewski

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Advances in the application of human-machine collaboration in healthcare: insights from China by Wuzhen Wang, Liangji Liu

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Automatic Calculation of Cardiometric Coefficients on Chest X-Ray Images by Alexey Kornaev, Dmitry Lvov, Ilya Pershin, Semen Kiselev, Danil Afonchikov, Iskander Bariev, Bulat Ibragimov

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From data to diagnosis: leveraging deep learning in IoT-based healthcare by Miracle A. Atianashie, Chukwuma Chinaza Adaobi

“…Ethical and legal considerations are also critical as the deployment of artificial intelligence in healthcare necessitates careful consideration of patient consent and data security. …”
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An Explainable Artificial Intelligence Model for the Classification of Breast Cancer by Tarek Khater, Abir Hussain, Riyad Bendardaf, Iman M. Talaat, Hissam Tawfik, Sam Ansari, Soliman Mahmoud

“…The findings underline the potential of machine learning to enhance breast cancer diagnosis and therapy planning while emphasizing the importance of interpretability and transparency in artificial intelligence-based healthcare systems.…”
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Detection of Body Packs in Abdominal CT scans Through Artificial Intelligence; Developing a Machine Learning-based Model by Sayed Masoud Hosseini, Seyed Ali Mohtarami, Shahin Shadnia, Mitra Rahimi, Peyman Erfan Talab Evini, Babak Mostafazadeh, Azadeh Memarian, Elmira Heidarli

“…Conclusion: This study employed a deep learning network to identify body packs in abdominal CT scans, highlighting the importance of incorporating object shape and variability when leveraging artificial intelligence in healthcare to aid medical practitioners. …”
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