The Impact of Chatbots and Virtual Assistants in Medical Education and Clinical Decision-Making | Chapter 10 | Medical Science: Recent Advances and Applications Vol. 3

The integration of chatbots and virtual assistants in medical education and clinical decision-making has revolutionised the healthcare landscape. These AI-driven tools enhance learning experiences by providing interactive, personalised education to medical students and professionals. In clinical settings, they support decision-making by offering real-time, evidence-based recommendations, reducing diagnostic errors, and improving workflow efficiency. This review explores the applications, benefits, and challenges of chatbots and virtual assistants in medical education and clinical decision-making. It also examines their potential to bridge knowledge gaps, improve patient outcomes, and augment healthcare delivery. While these technologies offer significant advantages, concerns related to data security, accuracy, and ethical implications must be addressed for their optimal implementation.

 

Author (s) Details

Bhadresh C Koladiya
Department of Biochemistry, GMERS Medical College, Porbandar, Gujarat, India.

 

Yukt Bhagiya
GMERS Medical College, Vadnagar, Gujarat, India.

 

Jisan Yunusbhai Jadav
Department of Physiology, P D U Medical College, Rajkot, Gujarat, India.

 

Prashant V Kariya
Department of Pediatrics, Kiran Medical College, Surat, Gujarat, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/msraa/v3/5383

AI-Powered Simulations for Medical Training: A Game-Changer in Skill Development | Chapter 4 | Medical Science: Trends and Innovations Vol. 13

The integration of Artificial Intelligence (AI)-powered simulations in medical training has revolutionised skill development by providing an interactive, immersive, and adaptive learning environment. These simulations leverage machine learning, virtual reality (VR), augmented reality (AR), and deep learning algorithms to create realistic clinical scenarios, enabling medical professionals to practice decision-making, procedural techniques, and diagnostic skills in a risk-free setting. AI-driven simulations enhance competency-based education, personalised learning, and real-time feedback, ensuring improved clinical proficiency and patient safety. This book chapter explores the role of AI-powered simulations in medical education, their impact on cognitive and psychomotor skill acquisition, and the challenges associated with their adoption. The findings suggest that AI-based simulations are a game-changer in medical training, offering scalable, cost-effective, and high-fidelity learning experiences that bridge the gap between theoretical knowledge and real-world clinical practice.

 

Author (s) Details

 

Latif Bagwan
Department of General Surgery, Nootan Medical College and Research Centre, Visnagar, Gujarat, India.

 

Rajesh Gouri
Department of General Surgery, Gujarat Adani Institute of Medical Sciences, Bhuj, Gujarat, India.

 

Avani V Mendpara
H J Doshi Hospital, Rajkot, Gujarat, India.

 

Azmat Kamal Ansari
Department of Biochemistry, Uttar Pradesh University of Medical Sciences, Saifai, Etawah, Uttar Pradesh, India.

 

Brijesh R. Koyani
H J Doshi Hospital, Rajkot, Gujarat, India.

 

Please see the book here:-  https://doi.org/10.9734/bpi/msti/v13/5223

AI-Powered Simulation and Virtual Reality in Medical Training: Current Trends and Future Prospects | Chapter 15 | Medical Science: Trends and Innovations Vol. 12

The integration of Artificial Intelligence (AI) and Virtual Reality (VR) in medical training has revolutionized the learning experience by providing immersive, interactive, and adaptive simulations. AI-powered VR platforms enable personalized training, real-time feedback, and risk-free environments for skill acquisition, making them valuable tools for medical education and surgical practice. This review explores the current advancements in AI-driven VR simulations, including their applications in clinical skills training, patient management, and surgical procedures. Additionally, the challenges associated with implementation, such as cost, accessibility, and ethical considerations, were analyzed. The future prospects of AI in medical training are also discussed, highlighting potential innovations such as haptic feedback integration, natural language processing for virtual patient interactions, and AI-driven assessment tools. AI-powered VR simulations are poised to bridge the gap between theoretical knowledge and practical expertise, transforming the future of medical education.

 

Author (s) Details

Nandini Srivastava
Department of Physiology, Maharshi Vashishtha Autonomous State Medical College, Basti, Uttar Pradesh, India.

 

Darshan Dipakbhai Shah
Department of Emergency Medicine, Pramukh Swami Medical College and Shree Krishna Hospital, Bhaikaka University, Karamsad, Gujarat, India.

 

Vijay Kumar Srivastava
Department of Orthopaedics and Traumatology, Divisional District Hospital, Azamgarh, Uttar Pradesh, India.

 

Sunil Chhajwani
Department of Emergency Medicine, Pramukh Swami Medical College and Shree Krishna Hospital, Bhaikaka University, Karamsad, Gujarat, India.

 

Jitendra Patel
Department of Physiology, GMERS Medical College, Vadnagar, Gujarat, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/msti/v12/4987