AIMC Topic: Delivery of Health Care

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[Deep Learning-based Risk Prediction Model for Postoperative Healthcare-associated Infections].

Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae
Objective To develop a risk prediction model combining pre/intraoperative risk factors and intraoperative vital signs for postoperative healthcare-associated infection(HAI)based on deep learning. Methods We carried out a retrospective study based on ...

Perceptions of Artificial Intelligence Integration into Dermatology Clinical Practice: A Cross-Sectional Survey Study.

Journal of drugs in dermatology : JDD
BACKGROUND: Artificial intelligence (AI) is a growing field in dermatology and has great potential for integration into clinical practice. Our objective was to assess the perceptions of artificial intelligence in dermatology practice.

Clinical decisions using AI must consider patient values.

Nature medicine
Built-in decision thresholds for AI diagnostics are ethically problematic, as patients may differ in their attitudes about the risk of false-positive and false-negative results, which will require that clinicians assess patient values.

Gender-sensitive word embeddings for healthcare.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To analyze gender bias in clinical trials, to design an algorithm that mitigates the effects of biases of gender representation on natural-language (NLP) systems trained on text drawn from clinical trials, and to evaluate its performance.

Contribution of Artificial Intelligence in Pregnancy: A Scoping Review.

Studies in health technology and informatics
For the past ten years, the healthcare sector and industry has witnessed a surge in Artificial Intelligence (AI) technologies being used in many different medical specialties. Recently, AI-driven technologies have been utilized in medical care for pr...

Using Machine Learning to Improve Personalised Prediction: A Data-Driven Approach to Segment and Stratify Populations for Healthcare.

Studies in health technology and informatics
Population Health Management typically relies on subjective decisions to segment and stratify populations. This study combines unsupervised clustering for segmentation and supervised classification, personalised to clusters, for stratification. An in...

Hazards for the Implementation and Use of Artificial Intelligence Enabled Digital Health Interventions, a UK Perspective.

Studies in health technology and informatics
BACKGROUND: Artificial Intelligence (AI) has seen an increased application within digital healthcare interventions (DHIs). DHIs use entails challenges about their safety assurance. Exacerbated by regulatory requirements, in the UK, this places the on...

Artificial intelligence in healthcare: Should it be included in the medical curriculum? A students' perspective.

The National medical journal of India
The application of artificial intelligence (AI) in healthcare has increased due to rapid digitization and integration of computer science in all fields. However, the outcome in relation to patient treatment and healthcare delivery is not that visible...