Mayo Clinic in Arizona

Artificial Intelligence in Precision Cardiovascular Medicine

Chayakrit Krittanawong, HongJu Zhang, Zhen Wang et al.

2017 · 1.064 Zit.

The RSNA Pediatric Bone Age Machine Learning Challenge

Safwan S. Halabi, Luciano M. Prevedello, Jayashree Kalpathy–Cramer et al.

2018 · 453 Zit.

Patient apprehensions about the use of artificial intelligence in healthcare

Jordan Richardson, Cambray Smith, Susan Curtis et al.

2021 · 383 Zit.

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement

J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.

2019 · 355 Zit.

Artificial intelligence in medical imaging: switching from radiographic pathological data to clinically meaningful endpoints

Ohad Oren, Bernard J. Gersh, Deepak L. Bhatt

2020 · 310 Zit.

Artificial Intelligence in Cardiology: Present and Future

Francisco López-Jiménez, Zachi I. Attia, Adelaide M. Arruda‐Olson et al.

2020 · 267 Zit.

Big Data and Predictive Analytics

Nilay D. Shah, Ewout W. Steyerberg, David M. Kent

2018 · 241 Zit.

Assessing and Mitigating Bias in Medical Artificial Intelligence

Peter A. Noseworthy, Zachi I. Attia, LaPrincess C. Brewer et al.

2020 · 207 Zit.

Combined Value of Validated Clinical and Genomic Risk Stratification Tools for Predicting Prostate Cancer Mortality in a High-risk Prostatectomy Cohort

Matthew R. Cooperberg, Elai Davicioni, Anamaria Crisan et al.

2014 · 196 Zit.

Artificial intelligence as an emerging technology in the current care of neurological disorders

Urvish Patel, Arsalan Anwar, Sidra Saleem et al.

2019 · 191 Zit.

Methodological quality of COVID-19 clinical research

Richard G. Jung, Pietro Di Santo, Cole Clifford et al.

2021 · 188 Zit.

Application of Artificial Intelligence for the Diagnosis and Treatment of Liver Diseases

Joseph Ahn, Alistair Connell, Douglas A. Simonetto et al.

2020 · 185 Zit.

Machine learning and conventional statistics: making sense of the differences

Christophe Ley, R. Kyle Martin, Ayoosh Pareek et al.

2022 · 182 Zit.

Strengths, Weaknesses, Opportunities, and Threats Analysis of Artificial Intelligence and Machine Learning Applications in Radiology

Teodoro Martín‐Noguerol, Félix Paulano‐Godino, María Teresa Martín Valdivia et al.

2019 · 178 Zit.

Decoding ChatGPT: A taxonomy of existing research, current challenges, and possible future directions

Shahab Saquib Sohail, Faiza Farhat, Yassine Himeur et al.

2023 · 172 Zit.