Results 161 to 170 of about 168,531 (277)

Frequency and risk factors for tail injuries in UK dogs under primary veterinary care

Veterinary Record, EarlyView.
Abstract Background Tail injuries in dogs can severely impact welfare and pose clinical challenges. This study aimed to describe the annual incidence and clinical management of tail injury in UK dogs under primary care and identify risk factors. Methods A nested case‒control design was used within a cohort of dogs under primary care in the UK in 2019 ...
Camilla Pegram, Dan G. O'Neill, Alexandra Edwards, David B. Church, Dave C. Brodbelt   +4 more
wiley   +1 more source

Gaps in artificial intelligence research for rural health in the United States: a scoping review. [PDF]

J Am Med Inform Assoc
Brown KE, Davis SE.
europepmc   +1 more source

Electronic health records improve the diagnosis and prognosis of pulmonary fungal infections in lung cancer patients

VIEW, EarlyView.
Pulmonary fungal infections are life‐threatening complications in lung cancer patients, posing significant challenges in clinical management. To address this, we developed machine learning tools that translate routine electronic health record data into actionable insights for diagnosing infections and assessing prognosis.
Hongwei Meng, Jiayun Yang, Shouzhi Yang, Ayizekeranmu Yiming, Wenjun Yu, Yuewei Zhao, Chunmeng Ding, Kexin Meng, Si Gao, Yang Li, Nan Dan, Dandan Feng, Yunhua Xu, Lin Huang, Yongxia Qiao   +14 more
wiley   +1 more source

Discovery of data quality issues in electronic health records: profound consequences for critical care medicine applications - a systematized review. [PDF]

Crit Care
de Andrade JBC, de Medeiros Cavalcante MAO, Lopes TLM, Treigher JMS, Balsells MD, Vasconcelos JL, Monteiro LC, da Silveira Mota DD.   +7 more
europepmc   +1 more source

Remote Monitoring With a Reusable Device Upon Implementation on a Surgical Department (REQUEST Trial)

World Journal of Surgery, EarlyView.
Continuous monitoring of vital signs using wearable devices may improve early detection of postoperative complications and reduce nursing workload. Evidence from real‐world clinical implementation remains limited. This study aimed to answer the question: Does the implementation of wearable monitoring in surgical wards reduce nursing workload and is it ...
Ephrahim E. Jerry, Arthur R. A. Bouwman, Edith M. G. van Esch, Raoul Richardson, Simon W. Nienhuijs   +4 more
wiley   +1 more source

Higher electronic health record burden among women physicians in academic ambulatory medicine. [PDF]

JAMIA Open
Bessen SY, Tackett S, Peairs KS, Christopher-Stine L, Stewart CM, Biddison LD, Oliva-Hemker M, Lee JK.   +7 more
europepmc   +1 more source

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source

Interdisciplinary systems may restore the healthcare professional-patient relationship in electronic health systems. [PDF]

J Am Med Inform Assoc
Cauley MR, Boland RJ, Rosenbloom ST.
europepmc   +1 more source

A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis, Abed Alanazi, Shtwai Alsubai, Areej Alasiry, Mehrez Marzougui, Abdullah Alqahtani, Mohemmed Sha, Muhammad Aslam   +7 more
wiley   +1 more source

A Review of Recent Developments in Artificial Intelligence and Big Data Technologies for Ophthalmology Referrals and Clinical Practice. [PDF]

Med Sci Monit
Paredes AA, Banoub RG, Gill GS, Bains HK, Sibia AS, Sanghvi HA, Gupta SK, Chalam KV.   +7 more
europepmc   +1 more source