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Within the realm of education, a pivotal dilemma has arisen, beckoning for inventive resolutions: How can academic scholars effectively employ Artificial Intelligence to reshape the landscape of medical learning? An answer materializes through Artificial Intelligence Applications Using ChatGPT in Education: Case Studies and Practices , authored by Muhammad Shahzad Aslam and Saima Nisar. With comprehensive expertise in Medical and Health Education, and Health Informatics, the authors present an insightful exploration of AI's potential to redefine medical education. Traditional methods of medical education often confront challenges in keeping pace with the burgeoning expanse of knowledge and the ever-adapting nuances of medical science. Both educators and students grapple with the overwhelming influx of information, seeking effective ways to impart and assimilate intricate concepts. Ethical quandaries, including plagiarism detection, further compound the complexities faced by academic scholars. Amidst these intricacies, the demand for an innovative solution becomes apparent – one that harmonizes progressive technology with pedagogical principles. Artificial Intelligence Applications Using ChatGPT in Education presents an inspired solution to the dilemmas of contemporary medical education. Through an exploration of ChatGPT's capabilities, an AI-driven chatbot, the authors unveil a potent instrument for self-guided learning. Drawing from enlightening case studies and in-depth examinations, they illuminate how ChatGPT can evolve into a personalized tutor, aiding students in comprehending intricate medical facets in their own stride. Furthermore, the book conducts a just analysis of the ethical dimensions of AI integration, casting light on the moral employment of AI within academic realms.

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9781668493045

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Muhammad Shahzad Aslam stands out as an elite 1% top reviewer, as per Web of Science, for the years 2017, 2018, and 2019 in the domains of multi-discipline, cross-discipline, and clinical medicine, respectively. His contributions extend to the realm of academic editing, where he has served as an honorary academic editor for various journals, accumulating over 8 years of experience in peer review and academic editorial roles. As an esteemed author and editor, Dr. Shahzad Aslam has lent his expertise to four impactful Books: ""Cases on Teaching Pharmacology to Complementary and Alternative Medicine Students,"" ""Multidisciplinary Applications of Natural Science for Drug Discovery and Integrative Medicine,"" ""Artificial Intelligence Applications Using ChatGPT in Education: Case Studies and Practices,"" and ""Workplace Cyberbullying and Behavior in Health Professions."" Presently, Dr. Shahzad Aslam serves as an Assistant Professor in the School of Traditional Chinese Medicine at Xiamen University Malaysia. His academic journey includes obtaining a Ph.D. from the School of Bioprocess Engineering, Universiti Malaysia Perlis (UniMAP), where he focused on natural product chemistry. His pursuit of knowledge was supported by a prestigious scholarship from the Ministry of Higher Education (MOHE), Malaysia, under the Malaysian International Scholarship (MIS). Prior to his current position, Dr. Shahzad Aslam earned a Master of Philosophy degree in Pharmaceutical Chemistry from Bahauddin Zakariya University, Pakistan, and a Doctor of Pharmacy degree (Pharm.D.) from Baqai Medical University, Pakistan. Commencing his career in the pharmaceutical industry as a production supervisor and quality control analyst, he transitioned into academia in 2013 when he assumed the role of a lecturer at Lahore Pharmacy College, Pakistan. Here, he imparted knowledge in pharmaceutical chemistry, instrumentation, and organic chemistry. His academic journey further includes roles as an Assistant Professor at Rashid Latif College of Pharmacy and Ziauddin University after the completion of his Ph.D. Dr. Shahzad Aslam's research endeavors have focused on metabolomics analysis, fragmentation analysis of bioactive compounds, polyherbal formulations, and their interactions in wound healing. His specialized areas of expertise encompass phytochemistry, Pharmacognosy, green extraction techniques, wound healing studies, animal modeling, novel plant extraction methods, sustainable solvents, and Public health. Saima Nisar PhD holds a degree in Information Technology from Universiti Utara Malaysia and is a certified Data Scientist by IBM. She brings extensive experience in the field of Data Science and Analytics, encompassing skills such as Python programming, Machine Learning, data analysis, statistical analysis, and predictive modeling. Saima has contributed to the academic community by publishing eleven articles, and her research impact is reflected in an h-index of 3. Currently, she serves as a lecturer at Xiamen University Malaysia.

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