Current and future healthcare professionals are generally not trained to cope with the
proliferation of artificial intelligence (AI) technology in healthcare. To design a curriculum …

Early‐stage disease detection, particularly in Point‐Of‐Care (POC) wearable formats,
assumes pivotal role in advancing healthcare services and precision‐medicine. Public …

Regulatory frameworks for artificial intelligence (AI) are needed to mitigate risks while
ensuring the ethical, secure, and effective implementation of AI technology in healthcare and …

As applications of AI in medicine continue to expand, there is an increasing focus on
integration into clinical practice. An underappreciated aspect of this clinical translation is …

The potential applications of artificial intelligence and machine learning (AI/ML) in medicine
are progressing rapidly. AI is a broad term that refers to the intelligence of computer and …

The advent of digital health and artificial intelligence (AI) has promised to revolutionize
clinical care, but real-world patient evaluation has yet to witness transformative changes. As …

Artificial intelligence (AI) is increasingly applied across all disciplines of medicine, including
dentistry. Oral health research is experiencing a rapidly increasing use of machine learning …

In the realm of healthcare, numerous generative and non-generative artificial intelligence
and machine learning (AI-ML) tools have been developed and deployed. Simultaneously …

Artificial intelligence (AI) stands at the threshold of revolutionizing clinical oncology, with
considerable potential to improve early cancer detection and risk assessment, and to enable …

Leveraging artificial intelligence (AI) for the analysis of electrocardiograms (ECG) has the
potential to transform diagnosis and estimate the prognosis of not only cardiac but …