Machine learning research trends in Africa: a 30 years overview with bibliometric analysis review

AE Ezugwu, ON Oyelade, AM Ikotun… - … Methods in Engineering, 2023 - Springer
The machine learning (ML) paradigm has gained much popularity today. Its algorithmic
models are employed in every field, such as natural language processing, pattern …

Pituitary and SARS CoV-2: an unremitting conundrum

C Capatina, C Poiana, M Fleseriu - Best Practice & Research Clinical …, 2023 - Elsevier
There is increased interest related to the impact of coronavirus disease 19 (COVID-19) on
the endocrine system and in particular on the pituitary gland. Over the course of the severe …

Prediction of complications and prognostication in perioperative medicine: a systematic review and PROBAST assessment of machine learning tools

P Arina, MR Kaczorek, DA Hofmaenner… - …, 2024 - pubs.asahq.org
Background The utilization of artificial intelligence and machine learning as diagnostic and
predictive tools in perioperative medicine holds great promise. Indeed, many studies have …

Artificial intelligence in surgery

C Varghese, EM Harrison, G O'Grady, EJ Topol - Nature Medicine, 2024 - nature.com
Artificial intelligence (AI) is rapidly emerging in healthcare, yet applications in surgery
remain relatively nascent. Here we review the integration of AI in the field of surgery …

Ambulatory laparoscopic colectomies: a systematic review

L Siragusa, G Pellino, B Sensi, Y Panis… - Colorectal …, 2023 - Wiley Online Library
Aim Ambulatory laparoscopic colectomy (ALC), meaning discharge within 24 h of surgical
colonic resection, has recently been proposed in a few, selected patients. This systematic …

Machine-Learning-Based Prediction Modelling in Primary Care: State-of-the-Art Review

AH El-Sherbini, HU Hassan Virk, Z Wang… - Ai, 2023 - mdpi.com
Primary care has the potential to be transformed by artificial intelligence (AI) and, in
particular, machine learning (ML). This review summarizes the potential of ML and its …

COVID-19 in the perioperative setting: A review of the literature and the clinical landscape

AY O'Glasser, KJ Schenning - Perioperative Care and Operating Room …, 2022 - Elsevier
The COVID-19 pandemic has dramatically affected societies and healthcare systems around
the globe. The perioperative care continuum has also been under significant strain due to …

The snapshot audit methodology: design, implementation and analysis of prospective observational cohort studies in surgery

GA Bass, LJ Kaplan, ÉJ Ryan, Y Cao… - European Journal of …, 2023 - Springer
Purpose For some surgical conditionns and scientific questions, the “real world”
effectiveness of surgical patient care may be better explored using a multi-institutional time …

Mortality and pulmonary complications in emergency general surgery patients with COVID-19: A large international multicenter study

COVIDSurg Collaborative - Journal of Trauma and Acute Care …, 2022 - journals.lww.com
OBJECTIVES The outcomes of emergency general surgery (EGS) patients with concomitant
COVID-19 infection remain unknown. With a multicenter study in 361 hospitals from 52 …

Present and future of machine learning in breast surgery: systematic review

CL Soh, V Shah, A Arjomandi Rad… - British Journal of …, 2022 - academic.oup.com
Background Machine learning is a set of models and methods that can automatically detect
patterns in vast amounts of data, extract information, and use it to perform decision-making …