Results 111 to 120 of about 142,395 (298)

Artificial Intelligence in Dermatology: Current Applications and Future Directions

JEADV Clinical Practice, EarlyView.
This scoping review of 56 studies maps AI applications in dermatology. Image‐based classification for skin cancer detection dominates (48%), followed by clinical decision support (21%), teledermatology triage (11%), and predictive analytics (11%). While deep learning algorithms demonstrate diagnostic performance comparable to clinicians in controlled ...
Sofía Pérez‐Lalinde, Francisco Flores   +1 more
wiley   +1 more source

Examining Cancer Patients' Perceptions of the Impact of COVID-19 on Teleoncology: Findings From 15 Nigerian Outpatient Cancer Clinics. [PDF]

JCO Glob Oncol, 2023
Joseph A, Shour AR, Lasebikan NN, Jimoh MA, Adegboyega BC, Nwachukwu E, Awofeso O, Ajose A, Ibraheem A, Fatiregun OA, Ali-Gombe M, Aliyu UM, Kotkat AE, Biyi-Olutunde OA, Oboh EO, Zubairu IH, Haider MR, Olatosi B, Puthoff D, Onitilo AA.   +19 more
europepmc   +1 more source

Telemedicine [PDF]

British Journal of Ophthalmology, 1999
openaire   +2 more sources

Telemedicine and Teleneurology

Acta clinica Croatica, 2001
Telemedicine is one of the most important and fastest developing branches of medical technology. The use of computer technology in medicine is a precondition for the development of infrastructure allowing for significant progress and better basis for team work.
Demarin, Vida, Trkanjec, Zlatko, Bašić Kes, Vanja   +2 more
openaire   +2 more sources

Increased Pediatric Head and Neck Abscesses Following the COVID‐19 Pandemic

The Laryngoscope, EarlyView.
This study evaluated the impact of the COVID‐19 pandemic on pediatric head and neck abscesses at two tertiary care centers. Overall head and neck abscess incidence increased more than threefold in the post‐pandemic period compared with the pre‐pandemic period, with increases observed across all major abscess subtypes.
Marco DiBlasi, Ryan C. Higgins, Nicole Welch, Dwight Jones, Arthur J. Chang   +4 more
wiley   +1 more source

Clinical guideline highlights for the hospitalist: Evaluation and management of obstructive sleep apnea in adults hospitalized for medical care

Journal of Hospital Medicine, EarlyView.
Naveed Choudry
wiley   +1 more source

The Application of Telemedicine in Surgery

Med Research, EarlyView.
This figure provides an overview of the content presented in this article. Telemedicine is integrated throughout the entire surgical workflow, with distinct applications across the preoperative, intraoperative, and postoperative phases. These applications are enabled by a suite of supporting technologies, while the associated implementation challenges ...
Yufan Yang, Chang Liu, Xue Sun, Yiting Wang, Minghui Zhao, Shuya Jiang, Haoling Zhang, Wangzheqi Zhang, Wenwen Shi   +8 more
wiley   +1 more source

Diagnosis of intracranial hemorrhages based on brain computed tomography with artificial intelligence

Digital Diagnostics
BACKGROUND: Intracranial hemorrhages are associated with high mortality and risk of disability, requiring prompt and accurate diagnosis, particularly within the first 24 hours.
Anna N. Khoruzhaya, Kirill M. Arzamasov, Maria R. Kodenko, Elena I. Kremneva, Dmitry V. Burenchev   +4 more
doaj   +1 more source

Advancing Artificial Intelligence in Myopia Management: From Predicting Progression to Supporting Clinical Decisions

Med Research, EarlyView.
The AI‐enabled multimodal framework for whole‐life myopia management. Graphical abstract illustrates the transition of myopia care from premyopia to myopia, high myopia, and pathologic myopia. Multimodal data, including demographic and refractive information, genetic, behavioral and environmental factors, ophthalmic imaging, and omics profiles, can be ...
Zewei Zhang, Yun Wang, Lifei Zhang, Dongmei Chen, Weijie Zhang, Fang Li, Jibo Zhou   +6 more
wiley   +1 more source

Evaluation of an artificial intelligence model for quality assessment of chest radiograph in public healthcare settings: a pilot cross-sectional study

Digital Diagnostics
BACKGROUND: Suboptimal quality of chest radiographs is a common problem in the diagnostic imaging of thoracic diseases. Quality assessment of routine chest radiographs is performed manually, which is complicated by remote reporting and the high workload ...
Aleksandr A. Borisov, Kirill M. Arzamasov, Olga V. Omelyanskaya, Anton V. Vladzymyrskyy, Yuriy A. Vasilev   +4 more
doaj   +1 more source