106 research outputs found

    Relazione introduttiva in tema di fusione inversa

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    Gli autori analizzano le principali questioni oggetto di dibattito in tema di fusione inversa, soffermandosi in particolare sulle modalità alternative per attuare la fusione inversa

    Evolution of Hybrid Intelligence and Its Application in Evidence-Based Medicine: A Review

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    Modern medicine, both in clinical practice and research, has become more and more based on data, which is changing equally in type and quality with the advent and development of healthcare digitalization. The first part of the present paper aims to present the steps through which data, and subsequently clinical and research practice, have evolved from paper-based to digital, proposing a possible future of this digitalization in terms of potential applications and integration of digital tools in medical practice. Noting that digitalization is no more a possible future, but a concrete reality, there is a strong need for a new definition of evidence-based medicine, which must take into account the progressive integration of artificial intelligence (AI) in all decision-making processes. So, leaving behind the traditional research concept of human intelligence versus AI, poorly adaptable to real-world clinical practice, a Human and AI hybrid model, seen as a deep integration of AI and human thinking, is proposed as a new healthcare governance system. The second part of our review is focused on some of the major challenges the digitalization process has to face, particularly privacy issues, system complexity and opacity, and ethical concerns related to legal aspects and healthcare disparities. Analyzing these open issues, we aim to present some of the future directions that in our opinion should be pursued to implement AI in clinical practice

    Estimating the Locking Range of Analog Dividers through a Phase-Domain Macromodel

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    This work describes an efficient method to estimate and compare the locking range of Injection-Locked-Frequency-Dividers. The method can be exploited during the design phase to explore rapidly how the locking range varies for many possible parameter settings and injection strategies

    Regular CPAP utilization reduces nasal inflammation assessed by nasal cytology in obstructive sleep apnea syndrome.

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    OBJECTIVES: To analyze nasal inflammation in a group of patients with obstructive sleep apnea syndrome (OSAS) by means of nasal cytology and to describe the changes induced by continuous positive air pressure (CPAP) treatment. SUBJECTS AND METHODS: Thirty-two consecutive patients affected by OSAS (mean age 46.9years) and 13 control subjects (mean age 49.1years) were enrolled. Detailed clinical, laboratory, and polysomnographic studies were obtained in all participants and, in particular, nasal cytology was performed; inflammatory cells (neutrophils, eosinophils, mast cells, lymphocytes), bacteria, and spores were counted. A subgroup of 19 OSAS patients underwent regular nasal CPAP for eight weeks while the remaining 13 were noncompliant. Nasal cytology was repeated after eight weeks in all patients and controls. RESULTS: All patients with OSAS were affected by some form of rhinopathy, mostly subclinical, which was not found to influence compliance to CPAP. Regular CPAP treatment induced a significant reduction of cell infiltration (neutrophils, eosinophils, lymphocytes, and muciparous cells), which was not seen in nontreated patients. CONCLUSION: Nasal inflammation/infection is a very frequent finding in OSAS and can be reverted by the regular use of CPAP
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