UCLA Medical Center Clinical Informatics (Internal Medicine)

Topics

• Electronic Health Records Systems 54
• Artificial Intelligence in Healthcare and Education 29
• Prostate Cancer Diagnosis and Treatment 26
• Acute Ischemic Stroke Management 25
• Sepsis Diagnosis and Treatment 24
• Machine Learning in Healthcare 17
• Cardiac, Anesthesia and Surgical Outcomes 13
• Mobile Health and mHealth Applications 12
• Hemodynamic Monitoring and Therapy 11
• Parkinson's Disease Mechanisms and Treatments 10
• Pharmaceutical Practices and Patient Outcomes 10
• Acute Kidney Injury Research 9

Most cited

1. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods.

   BMJ (Clinical research ed.) · 2024 · 2,752 citations · Karandeep Singh

2. PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods.

   BMJ (Clinical research ed.) · 2025 · 461 citations · Karandeep Singh

3. External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients.

   JAMA internal medicine · 2021 · 627 citations · Karandeep Singh

4. The Clinician and Dataset Shift in Artificial Intelligence.

   The New England journal of medicine · 2021 · 504 citations · Karandeep Singh

5. AI, Health, and Health Care Today and Tomorrow: The JAMA Summit Report on Artificial Intelligence.

   JAMA · 2025 · 107 citations · Karandeep Singh

6. Responsible Use of Artificial Intelligence to Improve Kidney Care: A Statement from the American Society of Nephrology.

   Journal of the American Society of Nephrology : JASN · 2026 · 28 citations · Karandeep Singh