Michelle Wang

Also affiliated with University of California, San Francisco

Computer ScienceMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 10 papers. Top paper: “Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing”.

Characterisation of digital therapeutic clinical trials: a systematic review with natural language processing

The Lancet Digital Health(2024)10.1016/s2589-7500(23)00244-3

N/A

1.6DataRank · unranked

27 citations

Madhumita Sushil, Ava Xu, Michelle Wang, Douglas V. Arneson, Ellen Berkley +5 more

Open challenges in developing digital therapeutics in the United States

PLOS Digital Health(2022)10.1371/journal.pdig.0000008

N/A

1.5DataRank · unranked

33 citations

Douglas V. Arneson, Michelle Wang, Atul Janardhan Butte, Brenda Y. Miao

Bottom-up and top-down paradigms of artificial intelligence research approaches to healthcare data science using growing real-world big data

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad085

N/A

1.2DataRank · unranked

17 citations

Madhumita Sushil, Brenda Y. Miao, Atul Janardhan Butte, Michelle Wang

Use of a Large Language Model to Assess Clinical Acuity of Adults in the Emergency Department

JAMA Network Open(2024)10.1001/jamanetworkopen.2024.8895

N/A

0.694DataRank · unranked

101 citations

Travis Zack, Brenda Y. Miao, Madhumita Sushil, Michelle Wang, Aaron E. Kornblith +2 more

ALK Inhibitor Treatment Patterns and Outcomes in Real-World Patients with ALK-Positive Non-Small-Cell Lung Cancer: A Retrospective Cohort Study

Targeted Oncology(2023)10.1007/s11523-023-00973-7

N/A

0.434DataRank · unranked

17 citations

Shadera Slatter, Jesse Sussell, Chia-Wei Lin, Sarika Ogale, Debajyoti Datta +4 more

Assessing clinical acuity in the Emergency Department using the GPT-3.5 Artificial Intelligence Model

medRxiv(2023)10.1101/2023.08.09.23293795

N/A

0.312DataRank · unranked

7 citations

Travis Zack, Brenda Y. Miao, Madhumita Sushil, Michelle Wang, Atul Janardhan Butte +1 more

Novel computational methods on electronic health record yields new estimates of transfusion‐associated circulatory overload in populations enriched with high‐risk patients

Transfusion(2023)10.1111/trf.17447

N/A

0.208DataRank · unranked

3 citations

Gregory M. Goldgof, Ayan Patel, Barbee Whitaker, Artur Belov, Brian Chan +8 more

Assessment of Large Language Models for Enhancing Diabetologist-Developed Personalized Treatment Plans in Complex Type 2 Diabetes

Clinical Diabetes(2025)10.2337/cd25-0015

N/A

0DataRank · unranked

0 citations

Madhumita Sushil, Brenda Y. Miao, Sarah Kim, Umesh Masharani, Gregory Ku +7 more

Assessment of Large Language Models for Enhancing Diabetologist-Developed Personalized Treatment Plans in Complex Type 2 Diabetes

Figshare(2025)10.2337/figshare.29464577.v1

N/A

0DataRank · unranked

0 citations

Madhumita Sushil, Brenda Y. Miao, Sarah Kim, Umesh Masharani, Gregory Ku +7 more

An AI model classifies risks of early relapse post–CAR T-cell therapy in a multicenter real-world population with DLBCL

Blood Advances(2025)10.1182/bloodadvances.2025016375

N/A

0DataRank · unranked

3 citations

Krishna V. Komanduri, Debajyoti Datta, Ayan R. Patel, Barbee Whitaker, Artur Belov +7 more