Current Health Reacquired by Former CEO Christopher McGhee
Christopher McGhee has reacquired Current Health from Best Buy. The focus will be on home healthcare technology. π₯π»
June 30, 2025
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Discover the newest research about AI innovations in π₯ General Practice.
Leadership in radiology in the era of technological advancements and artificial intelligence.
AI in radiology: Leadership drives ethical integration, enhancing workflow efficiency and patient care. ππ€
June 30, 2025
Proposing core competencies for physicians in using artificial intelligence tools in clinical practice.
Core competencies for physicians using AI tools in healthcare are essential for improved patient outcomes and efficiency. π€π
June 28, 2025
Machine learning algorithms in predicting survivability of patients with renal cell carcinoma after nephrectomy: a retrospective study.
Machine learning enhances RCC survivability predictions post-nephrectomy. LASSO-Cox model shows 5-year AUC of 0.880! ππ
June 27, 2025
Patients Know Best Introduces Nationwide GP Data Integration in England
Patients Know Best integrates GP data across England, allowing patients to manage their health records in one place. ππ©Ί
June 23, 2025
Philips Foundation Reports Significant Growth in Healthcare Access for 2024
Philips Foundation’s 2024 report shows healthcare access for 46.5 million people, up from 28 million. ππ
June 21, 2025
Applications and Outcomes of Telehealth and Integrated Care in Men’s Health Urology.
Telehealth in Men’s Urology: Addressing Care Gaps & Improving Outcomes ππ»
June 19, 2025
Expanding the Capacity of General Practitioners in Sub-Saharan Africa With Artificial Intelligence.
AI boosts diagnostic accuracy in rural Kenya: 79.4% concordance with specialists vs. 50.8% for PCPs. ππ€
June 18, 2025
CT derived fractional flow reserve: Part 2 – Critical appraisal of the literature.
CT-FFR enhances coronary evaluations, showing high diagnostic accuracy and clinical relevance. Key insights from recent literature reviewed. ππ‘
June 15, 2025
Prospective external validation of a deep-learning-based early-warning system for major adverse events in general wards in South Korea.
AI-based early warning system VC-MAES shows 91.8% accuracy in predicting major adverse events, outperforming traditional scores. ππ©Ί
June 11, 2025