Ahmad P. Tafti, PhD, FAMIA
Director, Pitt HexAI Research Laboratory
Interim Director of Scientific Affairs, CPACE
Director, HexAI Podcast
AI Lead, Youki GmbH
The Pitt Health + Explainable AI (Pitt HexAI) Research Laboratory at the University of Pittsburgh, led by Ahmad P. Tafti, has a simple goal: to make healthcare better through the power of explainable artificial intelligence (AI). From computational perspective, our research focuses on engineering, implementing, validating, and deploying cutting-edge fundamental and applied explainable AI algorithms, and promote their applications in healthcare problems. We attempt to answer three main questions: 1) how advanced explainable AI strategies are developing in healthcare, 2) how they shape healthcare systems, and 3) how they impact the healthcare community. From clinical perspective, our research agenda spans musculoskeletal diseases and disorders (e.g., TJA), computational orthopedics, and computational pathology.
The Pitt HexAI Research Laboratory is functioning in the Department of Health Information Management at the School of Health and Rehabilitation Sciences. Our group at Pitt HexAI is a multidisciplinary team, and it benefits from several extramural collaborations with other academic institutions, nationwide and worldwide. Moreover, our group aims to provide highest quality education and research experience in AI-powered health informatics at all levels from K-12 to undergraduate to graduate and postdoctoral levels.
Research Interests
News
- Oct. 2024: Ahmad is serving as the Tutorial Chair(s) at IEEE ICHI 2025.
- Sep. 2024: Ahmad will give a talk on AI Explainability in Healthcare at the WPHIMA. You may want to register here!
- Sep. 2024: Ahmad is giving a talk at the CCC Conference organized by OHRP within the U.S. Department of Health and Human Services.
- Sep. 2024: Our Generative AI in Orthopedics paper has been published by JAMIA.
- Aug. 2024: Our Knee ROM paper has been published at the Journal of Knee Surgery.
- Aug. 2024: Ahmad has been appointed to the Journals and Publications Committee for the 2024-2025 term at AMIA.
- Jul. 2024: Our Nature-Scientific Reports paper on Fair AI-powered orthopedic image segmentation is out now.
- Jun. 2024: We are organzing AI Summer School in Medical Imaging Informatics.
- May. 2024: We got two papers accepted at MICCAI 2024.
- Feb. 2024: Serving as a session chair of "Advances in Image Classification" at AMIA 2024 Informatics Summit.
- Jan. 2024: Serving as a PC member at AIME 2024, hosted by the University of Utah.
Click here to see more news from 2022-2023!
2022-23
2022-23
- Dec. 2023: Have a podium abstract accepted at AMIA 2024 Informatics Summit.
- Nov. 2023: Zoe Menezes and Avani Chhabra are now at SHRS Blog.
- Oct. 2023: Our HexAI-TJAtxt paper/dataset is now published at Data in Brief.
- Sep. 2023: Serving as a Program Committee member at AMIA 2024 Informatics Summit.
- Sep. 2023: We were awarded Oracle Excellence Eureka Award 2023.
- Sep. 2023: Serving as the Industry Track Chair at IEEE ICHI 2024.
- Jul. 2023: Have a work accepted at IEEE BHI 2023.
- Jul. 2023: Have a work accepted at AMIA Annual Symposium 2023.
- Jun. 2023: Our EBAIC 2023 GitHub repository is now publicly and freely available at here!
- Jun. 2023: Pitt HexAI is organizing a free Mini Summer Camp in AI. Target audiences are High School Students (grades 11 &12).
- Jun. 2023: Ahmad P. Tafti has been invited as a keynote speaker and panelist at CMU- K&L Gates Conference in Ethics and AI, organized by the Carnegie Mellon University. Join us, please!
- Apr. 2023: Ahmad P. Tafti has been invited as a keynote speaker at Pitt's Orthopaedic Surgery Research Retreat. Please, join us!
- Apr. 2023: Ahmad P. Tafti has been invited as a keynote speaker at Responsible AI in the Natural Sciences, organized by the Carnegie Mellon University. Join us, please!
- Apr. 2023: Have two more works accepted at IEEE ICHI 2023. Kudos to Nick, Tina, Isameel, Avani, Zoe, and Annie!
- Mar. 2023: Pitt HexAI has sumbitted two podium abstracts at AMIA 2023 Annual Symposium. Kudos to Nick and Tina!
- Mar. 2023: Our work on explainable deep few-shot learning has been accepted as a full-paper at IEEE ICHI 2023. Kudos to Nick!
- Mar. 2023: We are delighted and honored to have Prof. Ines Lohse, PhD join us as our Associate Director. Welcome, Ines!
- Mar. 2023: Our lab has started launching Health and Explainable AI Podcast series.
- Feb. 2023: Our lab is happy to participate at the 3rd Annual Deep Learning Workshop presented by The OSCT at Marquette University.
- Feb. 2023: Annie's work on primary total shoulder arthroplasty has been accepted at MedInfo 2023. Thank you, Annie!
- Jan. 2023: We were awarded Oracle for Research Award. Thank you, Oracle!
- Jan. 2023: We were awarded University of Pittsburgh CTSI Award. Thank you, Pitt CTSI!
- Jan. 2023: Have an accepted workshop on Ethics and Bias of AI in Clinical Applications at IEEE ICHI 2023.
- Nov. 2022: We've sumbitted a student abstract/poster at MedInfo 2023.
- Sep. 2022: We've sumbitted an abstract at AMIA 2023 Informatics Summit.