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Clinical Decision-Making

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[Implementing new interventions and indications: the possible role for real world data].

Nederlands tijdschrift voor geneeskunde
In advising the preferred therapy for the individual patient the expected results of the proposed intervention and possible side effects are the most relevant considerations. However, predicting the results of an intervention is difficult, especially...

From Data to Decisions: How Artificial Intelligence Is Revolutionizing Clinical Prediction Models in Plastic Surgery.

Plastic and reconstructive surgery
The impact of clinical prediction models within artificial intelligence (AI) and machine learning is significant. With its ability to analyze vast amounts of data and identify complex patterns, machine learning has the potential to improve and implem...

Use of Electronic Medical Records (EMR) in Gerontology: Benefits, Considerations and a Promising Future.

Clinical interventions in aging
Electronic medical records (EMRs) have many benefits in clinical research in gerontology, enabling data analysis, development of prognostic tools and disease risk prediction. EMRs also offer a range of advantages in clinical practice, such as compreh...

Digital Phenotyping, Wearables, and Outcomes.

Neurosurgery clinics of North America
There is a significant need for robust and objective outcome assessments in spine surgery. Constant monitoring via smartphones and wearable devices has the potential to fill this role by providing an in-depth picture of human well-being, creating an ...

Call for the responsible artificial intelligence in the healthcare.

BMJ health & care informatics
The integration of artificial intelligence (AI) into healthcare is progressively becoming pivotal, especially with its potential to enhance patient care and operational workflows. This paper navigates through the complexities and potentials of AI in ...

The perils and promises of generative artificial intelligence in neurointerventional surgery.

Journal of neurointerventional surgery
Generative artificial intelligence (AI) holds great promise in neurointerventional surgery by providing clinicians with powerful tools for improving surgical precision, accuracy of diagnoses, and treatment planning. However, potential perils include ...

Clinical reasoning using ChatGPT: Is it beyond credibility for physiotherapists use?

Physiotherapy theory and practice
BACKGROUND: Artificial Intelligence (AI) tools are gaining popularity in healthcare. OpenAI released ChatGPT on November 30, 2022. ChatGPT is a language model that comprehends and generates human language, providing instant data analysis and recommen...

Clinical Deployment of Machine Learning Tools in Transplant Medicine: What Does the Future Hold?

Transplantation
Medical applications of machine learning (ML) have shown promise in analyzing patient data to support clinical decision-making and provide patient-specific outcomes. In transplantation, several applications of ML exist which include pretransplant: pa...