Artificial intelligence, three‐dimensional printing and global health

Dasgupta, Prokar

doi:10.1111/bju.14941

Cited by 2 publications

(2 citation statements)

References 6 publications

(6 reference statements)

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“…• medical applications of 3D printing [20,21], both from polymeric materials (for educational purposes, testing (neuro) surgical access paths or implants and soft tissue strengthening with medical supplies), metal powders (prostheses), and bio-ink (printing of innervated and vascularized skin, parts of organs such as the heart [22,23], mus-cles [24,25]), as far as bioinspired labs-on-a-chip and associated systems [26][27][28][29] • communications (including emerging IoT and Industry 4.0 abilities supported by AI) [30][31][32] • safety of data and systems -even advanced technologies such as iris, facial, and finger vein recognition may not guarantee data security when faced with a 3D reconstruction of features based on medical imaging and 3D printing [33] The sustainability of the 3D printing processes may be also supported by CI-based solutions -such solutions should be built into 3D printers in the future.…”

Section: Case 3: Materials Choicementioning

confidence: 99%

Bulletin of the Polish Academy of Sciences: Technical Sciences

Rojek

Mikołajewski

Nowak

et al. 2021

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Computational intelligence (CI) can adopt/optimize important principles in the workflow of 3D printing. This article aims to examine to what extent the current possibilities for using CI in the development of 3D printing and reverse engineering are being used, and where there are still reserves in this area. Methodology: A literature review is followed by own research on CI-based solutions. Results: Two ANNs solving the most common problems are presented. Conclusions: CI can effectively support 3D printing and reverse engineering especially during the transition to Industry 4.0. Wider implementation of CI solutions can accelerate and integrate the development of innovative technologies based on 3D scanning, 3D printing, and reverse engineering. Analyzing data, gathering experience, and transforming it into knowledge can be done faster and more efficiently, but requires a conscious application and proper targeting.

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Section: Case 3: Materials Choicementioning

confidence: 99%

Bulletin of the Polish Academy of Sciences: Technical Sciences

Rojek

Mikołajewski

Nowak

et al. 2021

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“…Specific applications of AI in surgery are preoperative risk prediction, intraoperative video analysis and electronic health records. Physicians have assisted to a spreading role of AI in the last decade and this involved different medical specialties such as ophthalmology [ 9 ], cardiology [ 10 ], urology [ 11 , 12 ], but also colorectal [ 13 – 15 ], gastric [ 16 , 17 ], hepatobiliary and pancreatic surgery [ 18 – 21 ]. Its role in the emergency departments has also been investigated [ 22 – 26 ].…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence in the diagnosis and treatment of acute appendicitis: a narrative review

Bianchi,

Giambusso,

De Iacob

et al. 2024

Updates Surg

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Artificial intelligence is transforming healthcare. Artificial intelligence can improve patient care by analyzing large amounts of data to help make more informed decisions regarding treatments and enhance medical research through analyzing and interpreting data from clinical trials and research projects to identify subtle but meaningful trends beyond ordinary perception. Artificial intelligence refers to the simulation of human intelligence in computers, where systems of artificial intelligence can perform tasks that require human-like intelligence like speech recognition, visual perception, pattern-recognition, decision-making, and language processing. Artificial intelligence has several subdivisions, including machine learning, natural language processing, computer vision, and robotics. By automating specific routine tasks, artificial intelligence can improve healthcare efficiency. By leveraging machine learning algorithms, the systems of artificial intelligence can offer new opportunities for enhancing both the efficiency and effectiveness of surgical procedures, particularly regarding training of minimally invasive surgery. As artificial intelligence continues to advance, it is likely to play an increasingly significant role in the field of surgical learning. Physicians have assisted to a spreading role of artificial intelligence in the last decade. This involved different medical specialties such as ophthalmology, cardiology, urology, but also abdominal surgery. In addition to improvements in diagnosis, ascertainment of efficacy of treatment and autonomous actions, artificial intelligence has the potential to improve surgeons’ ability to better decide if acute surgery is indicated or not. The role of artificial intelligence in the emergency departments has also been investigated. We considered one of the most common condition the emergency surgeons have to face, acute appendicitis, to assess the state of the art of artificial intelligence in this frequent acute disease. The role of artificial intelligence in diagnosis and treatment of acute appendicitis will be discussed in this narrative review.

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Artificial intelligence, three‐dimensional printing and global health

Cited by 2 publications

References 6 publications

Bulletin of the Polish Academy of Sciences: Technical Sciences

Bulletin of the Polish Academy of Sciences: Technical Sciences

Artificial intelligence in the diagnosis and treatment of acute appendicitis: a narrative review

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