Detroit Medical Center

Artificial intelligence in dentistry

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

2022 · 34 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.

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, Abdul K. Zalikha et al.

2023 · 2 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 · 2 Zit.

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

Roupen Odabashian, Jeffrey 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.

The potential of the programmable gaming mouse in diagnostic radiology residency

Arif Musa, Mohammed Twam, Sujit Prasad et al.

2026 · 0 Zit.

Assessment of OpenAI-Based Chatbot’s Performance in Extracting Patient Consultation Information

Julian Jeberaeel, Aria Kieft, Ramesh Boggula et al.

2024 · 0 Zit.

Predicting factors for extremity fracture among border-fall patients using machine learning computing

Carlos Palacio, Maximillian Hovorka, Marie R. Acosta et al.

2024 · 0 Zit.