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 …
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 …
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 …
predictive tools in perioperative medicine holds great promise. Indeed, many studies have …
Artificial intelligence in surgery
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 …
remain relatively nascent. Here we review the integration of AI in the field of surgery …
Ambulatory laparoscopic colectomies: a systematic review
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 …
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 …
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 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
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 …
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 …
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
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 …
patterns in vast amounts of data, extract information, and use it to perform decision-making …