AI Clinical Assistant Introduced by Dictate.IT
AI Clinical Assistant by Dictate.IT enhances doctor-patient consultations, streamlining documentation and improving efficiency in healthcare. 🏥🤖
Nurses’ Perspectives on AI in Healthcare
Nurses express mixed feelings about AI in healthcare. 🤔 Some appreciate its potential, while others remain skeptical. 🩺
Portable solutions for plant pathogen diagnostics: development, usage, and future potential.
Portable diagnostics revolutionize plant pathogen detection 🌱🔬, enhancing food security and agricultural sustainability. Review highlights future potential and challenges.
Synergizing metabolomics and artificial intelligence for advancing precision oncology.
Metabolomics and AI are transforming precision oncology, enhancing biomarker discovery and treatment monitoring. 🤖🔬 Explore their potential!
Longitudinal urine metabolic profiling and gestational age prediction in human pregnancy.
New research reveals urine metabolomics can predict gestational age and delivery timing in pregnancy. 🍼🔬
Challenges of Integrating AI into the NHS
AI integration in the NHS faces challenges, including data quality and evaluation of products. Policymakers must address these issues. 🤖📊
Perioperative goal-directed therapy with artificial intelligence to reduce the incidence of intraoperative hypotension and renal failure in patients undergoing lung surgery: A pilot study.
AI-driven goal-directed therapy may reduce intraoperative hypotension during lung surgery, improving patient outcomes. 🤖💉
Antibiotics and Artificial Intelligence: Clinical Considerations on a Rapidly Evolving Landscape.
Exploring AI's role in antibiotic prescribing 🦠🤖: complexities, risks, and potential benefits from recent research.
The Good, the Bad, and the Ugly: Ethical Considerations Regarding AI Assistance in Administrative Physician Tasks.
AI in healthcare can reduce physician burnout and improve patient care. We reviewed a PubMed article on this topic. 🤖📄
Applications of digital health technologies and artificial intelligence algorithms in COPD: systematic review.
Digital health technologies and AI show promise in managing COPD. Key applications include diagnosis, exacerbation prediction, and patient monitoring. 📊💡