Application of machine learning in surgery research: current uses and future directions–editorial
In recent years, machine learning (ML) has become a buzzword in the field of medical
research, and its applications in surgery are rapidly expanding [1, 2]. With the development …
research, and its applications in surgery are rapidly expanding [1, 2]. With the development …
[HTML][HTML] Perspectives: A surgeon's guide to machine learning
RYL Kuo, CJ Harrison, BE Jones, L Geoghegan… - International Journal of …, 2021 - Elsevier
The exponential increase in the volume and complexity of healthcare data presents new
challenges to researchers and clinicians in analysis and interpretation. The requirement for …
challenges to researchers and clinicians in analysis and interpretation. The requirement for …
[HTML][HTML] A surgeon's guide to machine learning
DT Lammers, CM Eckert, MA Ahmad… - Annals of Surgery …, 2021 - journals.lww.com
Abstract Machine learning (ML) represents a collection of advanced data modeling
techniques beyond the traditional statistical models and tests with which most clinicians are …
techniques beyond the traditional statistical models and tests with which most clinicians are …
Machine learning and surgical outcomes prediction: a systematic review
Background Machine learning (ML) has garnered increasing attention as a means to
quantitatively analyze the growing and complex medical data to improve individualized …
quantitatively analyze the growing and complex medical data to improve individualized …
The use of artificial intelligence and machine learning in surgery: a comprehensive literature review
Interest in the use of artificial intelligence (AI) and machine learning (ML) in medicine has
grown exponentially over the last few years. With its ability to enhance speed, precision, and …
grown exponentially over the last few years. With its ability to enhance speed, precision, and …
Machine learning to guide clinical decision-making in abdominal surgery—a systematic literature review
J Henn, A Buness, M Schmid, JC Kalff… - Langenbeck's Archives of …, 2021 - Springer
Purpose An indication for surgical therapy includes balancing benefits against risk, which
remains a key task in all surgical disciplines. Decisions are oftentimes based on clinical …
remains a key task in all surgical disciplines. Decisions are oftentimes based on clinical …
Machine learning in gastrointestinal surgery
T Sakamoto, T Goto, M Fujiogi, A Kawarai Lefor - Surgery Today, 2022 - Springer
Abstract Machine learning (ML) is a collection of algorithms allowing computers to learn
directly from data without predetermined equations. It is used widely to analyze “big data”. In …
directly from data without predetermined equations. It is used widely to analyze “big data”. In …
Machine learning and artificial intelligence in surgical research
S Srinivas, AJ Young - Surgical Clinics, 2023 - surgical.theclinics.com
Background Machine learning (ML), a branch of artificial intelligence, involves the
development of algorithms focused on pattern recognition and learning for computer-based …
development of algorithms focused on pattern recognition and learning for computer-based …
Machine learning applications in upper gastrointestinal cancer surgery: a systematic review
M Bektaş, GL Burchell, HJ Bonjer, DL van der Peet - Surgical endoscopy, 2023 - Springer
Background Machine learning (ML) has seen an increase in application, and is an important
element of a digital evolution. The role of ML within upper gastrointestinal surgery for …
element of a digital evolution. The role of ML within upper gastrointestinal surgery for …
Machine learning in neurosurgery: a global survey
Background Recent technological advances have led to the development and
implementation of machine learning (ML) in various disciplines, including neurosurgery. Our …
implementation of machine learning (ML) in various disciplines, including neurosurgery. Our …