Top 10 AI Research Papers to Read on 9.30.2024

In our September 30, 2024, newsletter, we bring you the top 10 AI research papers that are pushing the boundaries of innovation in healthcare and clinical operations. From the application of Large Language Models (LLMs) in real-time transcription to advanced Digital Twin ecosystems for oncology, these papers showcase the immense potential of AI in revolutionizing modern medicine. Whether it’s personalized risk assessment through conversational AI or the integration of pharmaceutical data in Clinical Decision Support Systems, this collection of research will keep you updated on the latest breakthroughs in AI-driven healthcare solutions.

• Digital Twin Ecosystem for Oncology Clinical Operations by Himanshu Pandey, Akhil Amod, Shivang, Kshitij Jaggi, Ruchi Garg, Abheet Jain, Vinayak Tantia
• Using LLM for Real-Time Transcription and Summarization of Doctor-Patient Interactions into ePuskesmas in Indonesia by Azmul Asmar Irfan, Nur Ahmad Khatim, Mansur M. Arief
• The Role of Language Models in Modern Healthcare: A Comprehensive Review by Amna Khalid, Ayma Khalid, Umar Khalid
• HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions by Xuhui Zhou, Hyunwoo Kim, Faeze Brahman, Liwei Jiang, Hao Zhu, Ximing Lu, Frank Xu, Bill Yuchen Lin, Yejin Choi, Niloofar Mireshghallah, Ronan Le Bras, Maarten Sap
• Design and Evaluation of a CDSS for Drug Allergy Management Using LLMs and Pharmaceutical Data Integration by Gabriele De Vito, Filomena Ferrucci, Athanasios Angelakis
• A Comprehensive Evaluation of Large Language Models on Mental Illnesses by Abdelrahman Hanafi, Mohammed Saad, Noureldin Zahran, Radwa J. Hanafy, Mohammed E. Fouda
• Boosting Healthcare LLMs Through Retrieved Context by Jordi Bayarri-Planas, Ashwin Kumar Gururajan, Dario Garcia-Gasulla
• Generative LLM Powered Conversational AI Application for Personalized Risk Assessment: A Case Study in COVID-19 by Mohammad Amin Roshani, Xiangyu Zhou, Yao Qiang, Srinivasan Suresh, Steve Hicks, Usha Sethuraman, Dongxiao Zhu
• Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology by Aidan Gilson, Xuguang Ai, Thilaka Arunachalam, Ziyou Chen, Ki Xiong Cheong, Amisha Dave, Cameron Duic, Mercy Kibe, Annette Kaminaka, Minali Prasad, Fares Siddig, Maxwell Singer, Wendy Wong, Qiao Jin, Tiarnan D. L. Keenan, Xia Hu, Emily Y. Chew, Zhiyong Lu, Hua Xu, Ron A. Adelman, Yih-Chung Tham, Qingyu Chen
• An adapted large language model facilitates multiple medical tasks in diabetes care by Lai Wei, Zhen Ying, Muyang He, Yutong Chen, Qian Yang, Yanzhe Hong, Jiaping Lu, Xiaoying Li, Weiran Huang, Ying Chen