Houston Methodist

SCOR: A secure international informatics infrastructure to investigate COVID-19

Jean Louis Raisaro, Francesco Marino, Juan Ramón Troncoso-Pastoriza et al.

2020 · 46 Zit.

Generative artificial intelligence in ophthalmology

Ethan Waisberg, Joshua Ong, Sharif Amit Kamran et al.

2024 · 38 Zit.

Is pathology prepared for the adoption of artificial intelligence?

Stephen T.C. Wong

2018 · 31 Zit.

ChatGPT and Artificial Intelligence in Hospital Level Research: Potential, Precautions, and Prospects

Hassaan Arshad, Sara Butt, Safi U. Khan et al.

2023 · 27 Zit.

Impact of Social Media and Virtual Learning on Cardiology During the COVID-19 Pandemic Era and Beyond

Alpana Senapati, Najah Khan, L Bindu Chebrolu

2020 · 25 Zit.

Machine Learning to Predict Outcomes and Cost by Phase of Care After Coronary Artery Bypass Grafting

Rodrigo Zea-Vera, Christopher T. Ryan, Jim Havelka et al.

2021 · 24 Zit.

Evaluation of postoperative ophthalmology patient instructions from ChatGPT and Google Search

Keean Nanji, Caberry W. Yu, Tien Yin Wong et al.

2023 · 22 Zit.

Association of reviewer experience with discriminating human-written versus ChatGPT-written abstracts

Gabriel Levin, René Pareja, David Viveros‐Carreño et al.

2024 · 13 Zit.

Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality

Radwa El Shawi, Mouaz H. Al‐Mallah

2022 · 12 Zit.

American Academy of Otolaryngology–Head and Neck Surgery (AAO‐HNS) Report on Artificial Intelligence

Noel Ayoub, Anaïs Rameau, Michael Brenner et al.

2024 · 11 Zit.

Potential impact of large language models on academic writing

Fares Alahdab

2023 · 9 Zit.

Automated ophthalmic imaging analysis in the era of Generative Pre-Trained Transformer-4

Ethan Waisberg, Joshua Ong, Mouayad Masalkhi et al.

2023 · 8 Zit.

Image Annotation Software for Artificial Intelligence Applications

Ayman Musleh, Saif Aldeen AlRyalat, Ahmad Qasem

2023 · 8 Zit.

Future directions of generative artificial intelligence in ophthalmology and vision science

Ethan Waisberg, Joshua Ong, Mouayad Masalkhi et al.

2024 · 6 Zit.

Machine learning-based prediction models in medical decision-making in kidney disease: patient, caregiver, and clinician perspectives on trust and appropriate use

Jessica Sperling, Whitney Welsh, Erin Haseley et al.

2024 · 5 Zit.