Results 121 to 130 of about 102,740 (301)

A Pilot Randomized Study of NAT2 and YEATS4 Pharmacogenetic Return of Results in Adults with Hypertension and African Ancestry: The GUARDD‐US PGx Study

Clinical Pharmacology &Therapeutics, EarlyView.
Almost half of individuals with hypertension fail to achieve recommended blood pressure (BP) goals. Pharmacogenetic gene‐drug interactions may alter the efficacy of antihypertensive agents. We conducted a multicenter randomized controlled sub‐study of participants (N = 1874) with hypertension and self‐reported African ancestry to determine whether ...
Philip E. Empey, Nita A. Limdi, Dinushika Mohottige, Kady‐Ann Steen‐Burrell, Hrishikesh Chakraborty, Khoa A. Nguyen, Alexander S. Parker, Emily J. Cicali, Girish N. Nadkarni, Michelle A. Ramos, Sabrina Clermont, Erica N. Elwood, Mimsie Robinson, Nandini Shroff, Marc B. Rosenman, Ronald Huang, Larisa H. Cavallari, Julie A. Johnson, Paul R. Dexter, Todd C. Skaar, Kerri L. Cavanaugh, Christina M. Wyatt, Carol R. Horowitz, Rhonda M. Cooper‐DeHoff, Michael T. Eadon, on behalf of the IGNITE Pragmatic Trials Network   +25 more
wiley   +1 more source

Mamsell ehr Schatz

, 1911
MAMSELL EHR SCHATZ Mamsell ehr Schatz ([1]) Binding ( - ) Title page ([1]) Personen: ([3]) 1. Auftritt. ([3]) 2. Auftritt. (6) 3. Auftritt. (7) 4. Auftritt. (8) 5. Auftritt. (8) 6. Auftritt. (10)
Wichmann, Julius
core   +1 more source

Clinical decision support using pseudo-notes from multiple streams of EHR data

npj Digital Medicine
Electronic health records (EHR) contain data from disparate sources, spanning various biological and temporal scales. In this work, we introduce the Multiple Embedding Model for EHR (MEME), a deep learning framework for clinical decision support that ...
Simon A. Lee, Sujay Jain, Alex Chen, Kyoka Ono, Arabdha Biswas, Ákos Rudas, Jennifer Fang, Jeffrey N. Chiang   +7 more
doaj   +1 more source

EHR-KnowGen: Knowledge-enhanced multimodal learning for disease diagnosis generation

Electronic health records (EHRs) contain diverse patient information, including medical notes, clinical events, and laboratory test results. Integrating this multimodal data can improve disease diagnoses using deep learning models.
Jing Ma (24574), Liang Bai (567966), Zhihua Wang (175685), Shuai Niu (2324032), Xian Yang (584213), Li Guo (23880354)   +5 more
core  

Value Co-Creation and Challenges in EHR [PDF]

, 2019
Looking through the value creation and value co-creation (VCC) lens and taking a relational view, this paper uses the qualitative case study methodology to get an in-depth understanding of VCC in the implementation and use of Electronic Health Record ...
Xie, Wei, Vance, Lakeisha, Palvia, Prashant   +2 more
core  

Artificial Intelligence in Ophthalmology: From Methodological Advances to Clinical Translation and Future Directions

Eye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is reshaping ophthalmology from task‐specific image analysis toward multimodal, longitudinal, and clinically integrated decision support. This narrative review summarizes the methodological evolution of ophthalmic AI, including traditional machine learning, task‐specific deep learning, self‐supervised learning ...
Yuxin Liu, Hanruo Liu
wiley   +1 more source

Pharmacist's role in managing drug–drug interactions in people with HIV receiving antiretroviral therapy or HIV pre‐exposure prophylaxis: A focus on polypharmacy and transitions of care in the United States

British Journal of Clinical Pharmacology, EarlyView.
Shawnalyn W. Sunagawa, Elizabeth M. Sherman, Melissa Badowski, David B. Cluck, Spencer H. Durham, Joshua P. Havens, Emily Huesgen, Justin K. Ma, Roxane Rohani, Eric G. Sahloff, Kristy M. Shaeer, Radhika S. Polisetty   +11 more
wiley   +1 more source

Artificial Intelligence for Distinguishing Glaucoma From Its Mimickers: A Narrative Review of Diagnostic Pitfalls, Validation Gaps, and Clinical Translation

Eye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) has advanced rapidly in glaucoma, but many models remain optimized for case‐control detection rather than the clinically harder task of distinguishing glaucoma from its mimickers. This narrative review primarily examined literature published from January 2018 to March 2026 on glaucoma AI, difficult comparator ...
Cansu Yüksel Elgin
wiley   +1 more source

A successful model of regional healthcare information exchange in Japan: Case Study in Kagawa Prefecture [PDF]

In this study, we focused on analysis of healthcare data exchange over the network. For the advance of broadband capability development, many governments expect online medical information exchange between medical institutions.
Yamakata, Daisuke, Ueda, Masashi, Nogawa, Hiroki   +2 more
core  

How are medical students using the Electronic Health Record (EHR)?: An analysis of EHR use on an inpatient medicine rotation

, 2019
Physicians currently spend as much as half of their day in front of the computer. The Electronic Health Record (EHR) has been associated with declining bedside skills and physician burnout.
John Kugler (7256030), Jeffrey Chi, Jonathan H. Chen (2167054), John Kugler, Jason Bentley, Jason Bentley (1772707), Jonathan H Chen, Jeffrey Chi (6307760)   +7 more
core   +1 more source