Detroit Medical Center

Artificial intelligence in dentistry

Mohamed M. Meghil, Pragya Rajpurohit, Mohamed E. Awad et al.

2022 · 35 Zit.

Predicting Clinical Outcomes in Acute Ischemic Stroke Patients Undergoing Endovascular Thrombectomy with Machine Learning

Yao Hao Teo, Isis Claire Z. Y. Lim, Fan Shuen Tseng et al.

2021 · 27 Zit.

Patients Reactions to Non-Invasive and Invasive Prenatal Tests: A Machine-Based Analysis from Reddit Posts

Giovanni Delnevo, Silvia Mirri, Lorenzo Monti et al.

2018 · 21 Zit.

The Pros and Cons of Structured Reports

Reham R. Haroun, Maysoon Al-Hihi, Hani H. Abujudeh

2019 · 9 Zit.

Improved performance of machine learning models in predicting length of stay, discharge disposition, and inpatient mortality after total knee arthroplasty using patient-specific variables

Leo Zalikha, Tannor Court, Fong H. Nham et al.

2023 · 9 Zit.

Predictive capacity of four machine learning models for in-hospital postoperative outcomes following total knee arthroplasty

Leo Zalikha, Mouhanad M. El‐Othmani, Roshan P. Shah

2022 · 9 Zit.

Machine learning-based prediction of upgrading on magnetic resonance imaging targeted biopsy in patients eligible for active surveillance

Bashier Elkarami, Mustafa Deebajah, Seth Polk et al.

2022 · 7 Zit.

Bibliometric analysis of machine learning trends and hotspots in arthroplasty literature over 31 years

Matthew P. Corsi, Fong H. Nham, Eliana Kassis et al.

2024 · 4 Zit.

Assessing the predictive capacity of machine learning models using patient-specific variables in determining in-hospital outcomes after THA

Fong H. Nham, Tannor Court, Leo Zalikha et al.

2023 · 3 Zit.

The Role of Artificial Intelligence and Machine Learning in Cardiovascular Imaging and Diagnosis: Current Insights and Future Directions

Maria Gabriela Cerdas, Sucharitha Pandeti, Likhitha Reddy et al.

2024 · 3 Zit.

Semiautomated Extraction of Research Topics and Trends From National Cancer Institute Funding in Radiological Sciences From 2000 to 2020

Mark Nguyen, Peter G. Beidler, Joseph C. Tsai et al.

2025 · 2 Zit.

Evaluating artificial intelligence (AI) as a clinical decision support tool for lung cancer treatment recommendations.

Roupen Odabashian, Jeffrey A. Karson, Gregory Dyson et al.

2025 · 0 Zit.

Assessing Artificial Intelligence in Breast Imaging: A Survey of Breast Radiologists’ Insights on Adoption, Benefits, and Challenges

Joseph Nenow, Omer Afifeldin Abdelrahman, Sarah Osman Sayed Osman et al.

2025 · 0 Zit.

68 Use of artificial intelligence to derive International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) elements from unstructured medical records

Salvador Jaime‐Casas, Hedyeh Ebrahimi, Kingson Man et al.

2024 · 0 Zit.

Guidelines From the American Society of Pain and Neuroscience for Using Artificial Intelligence in Interventional Spine and Nerve Treatment

Christopher Massey, Usman Latif, Timothy R. Deer et al.

2025 · 0 Zit.