Ashutosh Jadhav  Ashutosh Jadhav photo         

contact information

Research Staff Member, Medical Sieve Radiology Grand Challenge
IBM Almaden Research Center, San Jose, California, USA
  +1dash408dash927dash1874

links


more information

More information:  Google Scholar Profile

profile


Ashutosh Jadhav is a researcher in the Medical Sieve project at IBM Almaden Research Center. Medical Sieve is an ambitious long-term exploratory grand challenge project to build a next-generation automated cognitive assistant with advanced multimodal analytics, clinical knowledge, and reasoning capabilities that is qualified to assist in clinical decision making in radiology and cardiology. Ashutosh received a Ph.D. in Computer Science and Engineering from Wright State University, Ohio in 2016. During his Ph.D., he worked as a Research Assistant at Kno.e.sis Research Center at Wright State University and supervised by Prof. Amit Sheth. His dissertation research was on knowledge-driven search intent mining from health-related search queries. He has worked as a research intern at HP Labs in California (summer 2011) and Mayo Clinic (2013-2014). He holds a Masters degree in Computer Engineering from Wright State University and a Bachelors degree in Information Technology from VJTI, Mumbai University, India. He is also a two-time recipient of the Mayo Clinic Meritorious Award (2013 and 2014).

His research interests are:

Text Mining, Artificial Intelligence, Clinical Reasoning, Knowledge Analytics,  Health Informatics, and Applied Machine Learning

Major Technical Achievements at IBM:

  • IBM Research Outstanding Technical Achievement Award, 2020
    • for the contribution of research to Watson Health Imaging - Launching a new line of AI-based offerings 
  • IBM Research Accomplishment Award 2019 
  • Led the knowledge and reasoning work for the Medical Sieve Grand Challenge 
    • Build a comprehensive clinical knowledge-base for differential diagnosis
    • Developed knowledge-driven reasoning algorithms for a medical question-answering system - Eyes of Watson
    • Combined Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection (AMIA 2020)
  • Developed text mining algorithms (such as semantic expansion of clinical concepts for EHR summarization) for Watson Health Imaging products