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Artificial intelligence (AI) is a cutting-edge new reality already having an unprecedented impact on society, the economy and businesses. Its future developments and long-term influence are still largely unknown. This article aims to examine AI’s potential benefits and challenges to corporate governance mechanisms, focusing on the board of directors.

The paper theoretically explores the influence of artificial intelligence on the board of directors’ capabilities, roles and functions.

Concerning rethinking board functioning in the era of artificial intelligence, the paper analyzes how artificial intelligence can impact the board of directors. It proposes some recommendations on how directors can more effectively integrate artificial intelligence into the boardroom, including establishing an internal artificial intelligence committee composed of experts with technical knowledge dedicated to managing artificial intelligence-related potential threats and opportunities.

Companies are invited to have some technical knowledge and expertise on artificial intelligence on the boards, fostering directors to upskill themselves in the new artificial intelligence technologies and establishing an ad-hoc internal committee. Policymakers are expected to keep pace with the growing proliferation of artificial intelligence solutions, defining a sharp regulatory framework.

The study advances knowledge in the corporate governance literature by shedding light on the effects of artificial intelligence on boards of directors and suggesting a set of best practices for its effective implementation.

This study aims to integrate design methods and additive manufacturing with the use of a thermoplastic elastomer certified for medical use and reverse engineering towards a new concept of a customized buttress model with optimized features for the reconstruction of the osteo-dural opening after endoscopic endonasal transtuberculum-transplanum approach.

Additive manufacturing allows making of cost-effective and useable devices with tailored properties for biomedical applications. The endoscopic endonasal approach to the suprasellar area enables the management of different intradural tumours, and the craniectomy at the skull base is generally wide and irregular. Defining an optimal strategy for osteodural defect closure at the preoperative stage represents a significant challenge.

Using the results obtained from a computed tomography analysis, skull base defects were designed to plan the surgical approach. Several concepts of customized buttress models were first built up, initially focusing on thin, flexible edges characterized by different thicknesses. Finite element analyses and design optimization allowed us to achieve the optimal design solution with improved compliance/flexibility for easy intranasal manoeuvrability, maintaining an adequate mechanical stability. As the thickness of the edges decreased, an increase of strain energy values was found (i.e. 1.2 mJ – Model A, 1.7 mJ – Model B, 2.3 mJ – Model C, 4.3 mJ – Model D). However, a further optimization (Model E) led to a significant increase of the compliance (strain energy of 14.1 mJ).

The results obtained from clinical evaluations demonstrated the feasibility of the proposed technical solutions, improving surgery effectiveness.