AIMC Topic: Patient Care Team
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Automatic matching of surgeries to predict surgeons' next actions.
Artificial intelligence in medicine
Mar 24, 2017
OBJECTIVE: More than half a million surgeries are performed every day worldwide, which makes surgery one of the most important component of global health care. In this context, the objective of this paper is to introduce a new method for the predicti...
Computational prediction of multidisciplinary team decision-making for adjuvant breast cancer drug therapies: a machine learning approach.
BMC cancer
Dec 1, 2016
BACKGROUND: Multidisciplinary team (MDT) meetings are used to optimise expert decision-making about treatment options, but such expertise is not digitally transferable between centres. To help standardise medical decision-making, we developed a machi...
Middle Aged
Algorithms
Models, Theoretical
Computer Simulation
Humans
Antineoplastic Combined Chemotherapy Protocols
Aged, 80 and over
Machine Learning
Chemotherapy, Adjuvant
Adult
Clinical Decision-Making
Patient Care Team
Breast Neoplasms
Female
Combined Modality Therapy
Aged
Supervised Machine Learning
Processing Diabetes Mellitus Composite Events in MAGPIE.
Journal of medical systems
Nov 21, 2015
The focus of this research is in the definition of programmable expert Personal Health Systems (PHS) to monitor patients affected by chronic diseases using agent oriented programming and mobile computing to represent the interactions happening amongs...
Using Semantic Components to Represent Dynamics of an Interdisciplinary Healthcare Team in a Multi-Agent Decision Support System.
Journal of medical systems
Nov 21, 2015
In healthcare organizations, clinical workflows are executed by interdisciplinary healthcare teams (IHTs) that operate in ways that are difficult to manage. Responding to a need to support such teams, we designed and developed the MET4 multi-agent sy...
Utilizing Telemedicine in the Trauma Intensive Care Unit: Does It Impact Teamwork?
Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Apr 17, 2015
BACKGROUND: The aim of this study was to examine the impact of a telemedical robot on trauma intensive care unit (TICU) clinician teamwork (i.e., team attitudes, behaviors, and cognitions) during patient rounds.
Concordance of ChatGPT artificial intelligence decision-making in colorectal cancer multidisciplinary meetings: retrospective study.
BJS open
May 7, 2025
BACKGROUND: The objective of this study was to evaluate the concordance between therapeutic recommendations proposed by a multidisciplinary team meeting and those generated by a large language model (ChatGPT) for colorectal cancer. Although multidisc...
Artificial intelligence in colorectal surgery multidisciplinary team approach-From innovation to application.
Physiological reports
Apr 1, 2025
Artificial intelligence (AI) has played a novel role in aiding healthcare system functions and enhancing the patient experience. Multidisciplinary teams (MDT) have become an integral part of disease and management planning, especially with the rising...
[THE SURGICAL INTELLIGENCE REVOLUTION - APPLYING AI TO IMPROVE SURGICAL QUALITY AND SAFETY].
Harefuah
Dec 1, 2024
The use of artificial intelligence (AI) in medicine is rising fast. We continually hear about novel AI-based technologies being deployed to aid clinical teams in areas like interpreting medical images, understanding pathology, determining diagnosis, ...
Integrated Diagnostics: Embracing Artificial Intelligence and, Above All, Multidisciplinary Teamwork.
Radiology
Jul 1, 2024
Natural language processing to automate a web-based model of care and modernize skin cancer multidisciplinary team meetings.
The British journal of surgery
Jan 3, 2024
BACKGROUND: Cancer multidisciplinary team (MDT) meetings are under intense pressure to reform given the rapidly rising incidence of cancer and national mandates for protocolized streaming of cases. The aim of this study was to validate a natural lang...
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