1st Edition
Large Language Models in Healthcare Opportunities, Applications, and Challenges
Chapter 1: Multimodal Foundation Models for Radiological Understanding and Report Generation.
Sama E. Rashed, Ghada Khoriba, and Essam A. Rashed
Chapter 2: Automating Healthcare Decision-Making: The Role of Large Language Models in Disease Diagnosis.
Muhammad Uzair Khan, Muhammad Zia, Fazal Muhammad, Dawar Awan, Muhammad Sohail Khan, Saadia Tabassum, Shahid Khan, Qammer H. Abbasi, and Muhammad Lais
Chapter 3: Report Generation of Medical Procedures using Multimodal Large Language Models.
Hussam Ali, Rabia Parveen, and Muhammad Sadaqat Janjua
Chapter 4: Transparency and Ethical Frameworks for LLMs in Healthcare.
Ruhul Amin Khalil and Muhammad Asif Khan
Chapter 5: Detecting Hallucinations and Biases in LLMs: A Study of Trust Score Calibration and Ethics in Healthcare.
Ayesha Butt and Dr Muneeb Ul Hassan
Chapter 6: LLMS in Healthcare: Exploring Digital Inequality, Language Bias, and Epistemic Injustice in india.
Dr. Laxmi Mishra and Dr. Govind Kumar
Chapter 7: Integration of Large Language Models into Nursing Care Planning.
Troy Smith, Naila Muhammad, and Margaret St George
Chapter 8: Insights into Language Models and AI on Edge Devices for Healthcare Applications.
Shravan Somashekara Rai
Chapter 9: Chest Insight: A Multimodal AI Framework for Lung Disease Diagnosis and Clinical Explanation Generation.
Dr Thara D K and Varsha N
Bibliography.
Index
Biography
Dr. Hazrat Ali is a Lecturer in Artificial Intelligence at the University of Stirling, United Kingdom. He is a senior member of the IEEE and Associate Editor at Wiley Applied, Nature Scientific Reports journals, and leads multiple research initiatives in Healthcare AI.
Mubashir Husain Rehmani (M’14-SM’15, SFHEA) received the Ph.D. degree from the University Pierre and Marie Curie, Paris, in 2011. He is currently working as Lecturer in the Department of Computer Science, Munster Technological University, Ireland. He is the recipient of Highly Cited Researcher award four times in 2020, 2021, 2022, and 2025 by Clarivate, USA.
