AIMC Topic: Medicine

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Making decisions: Bias in artificial intelligence and data‑driven diagnostic tools.

Australian journal of general practice
BACKGROUND: Although numerous studies have shown the potential of artificial intelligence (AI) systems in drastically improving clinical practice, there are concerns that these AI systems could replicate existing biases.

Deep learning for Mpox: Advances, challenges, and opportunities.

Med (New York, N.Y.)
Although deep-learning algorithms in dermatology have shown promise in diagnosing skin cancers, less is known about potential applications for the diagnosis of infectious diseases. In a recent publication in Nature Medicine, Thieme et al. develop a d...

Augmenting digital twins with federated learning in medicine.

The Lancet. Digital health
Providing increasingly personalized treatments to patients is a major goal of precision medicine, and digital twins are an emerging paradigm to support this goal. A clinical digital twin is a digital representation of a patient and can be used to del...

Medicine Machines.

The New England journal of medicine

[Analysis on Key Points of Safety and Effectiveness Evaluation of Wearable Rehabilitation Walking Aid Robot].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
OBJECTIVE: To analyze the key points of evaluation on the safety and effectiveness of wearable rehabilitation walking aid robot, then improve its quality control ability.

Diachronic and synchronic variation in the performance of adaptive machine learning systems: the ethical challenges.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Machine learning (ML) has the potential to facilitate "continual learning" in medicine, in which an ML system continues to evolve in response to exposure to new data over time, even after being deployed in a clinical setting. In this arti...