AIMC Topic: Artificial Intelligence

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Integration of Artificial Intelligence, Blockchain, and Wearable Technology for Chronic Disease Management: A New Paradigm in Smart Healthcare.

Current medical science
Chronic diseases are a growing concern worldwide, with nearly 25% of adults suffering from one or more chronic health conditions, thus placing a heavy burden on individuals, families, and healthcare systems. With the advent of the "Smart Healthcare" ...

Artificial Intelligence in Medicine: A Multinational Multi-Center Survey on the Medical and Dental Students' Perception.

Frontiers in public health
The emerging field of artificial intelligence (AI) will probably affect the practice for the next generation of doctors. However, the students' views on AI have not been largely investigated. An anonymous electronic survey on AI was designed for me...

[Ocular changes as a diagnostic tool for malaria].

Die Ophthalmologie
BACKGROUND: According to the WHO Malaria Report 2019 a total of 229 million people fall ill with malaria each year and two thirds of deaths involve children under 5 years of age.

Advancing primary care with Artificial Intelligence and Machine Learning.

Healthcare (Amsterdam, Netherlands)
Primary care is the largest healthcare delivery platform in the US. Facing the Artificial Intelligence and Machine Learning technology (AI/ML) revolution, the primary care community would benefit from a roadmap revealing priority areas and opportunit...

Perceptions of the use of artificial intelligence in the diagnosis of skin cancer: an outpatient survey.

Clinical and experimental dermatology
BACKGROUND: Convolutional neural networks (artificial intelligence, AI) are rapidly appearing within the field of dermatology, with diagnostic accuracy matching that of dermatologists. As technologies become available for use by both the health profe...

Artificial intelligence based methods for hot spot prediction.

Current opinion in structural biology
Proteins interact through their interfaces to fulfill essential functions in the cell. They bind to their partners in a highly specific manner and form complexes that have a profound effect on understanding the biological pathways they are involved i...

Beneficent dehumanization: Employing artificial intelligence and carebots to mitigate shame-induced barriers to medical care.

Bioethics
As costs decline and technology inevitably improves, current trends suggest that artificial intelligence (AI) and a variety of "carebots" will increasingly be adopted in medical care. Medical ethicists have long expressed concerns that such technolog...

Machine learning and deep learning in data-driven decision making of drug discovery and challenges in high-quality data acquisition in the pharmaceutical industry.

Future medicinal chemistry
Predicting novel small molecule bioactivities for the target deconvolution, hit-to-lead optimization in drug discovery research, requires molecular representation. Previous reports have demonstrated that machine learning (ML) and deep learning (DL) h...

Safe and Ethical Artificial Intelligence in Radiotherapy - Lessons Learned From the Aviation Industry.

Clinical oncology (Royal College of Radiologists (Great Britain))
Ethical artificial intelligence (AI) frameworks can be the catalyst in improving the safety and wellbeing of people when developing AI systems. In 2020 Rolls-Royce released its ethical and trustworthiness toolkit, The Aletheia Framework, which helps ...

Registries, Databases and Repositories for Developing Artificial Intelligence in Cancer Care.

Clinical oncology (Royal College of Radiologists (Great Britain))
Modern artificial intelligence techniques have solved some previously intractable problems and produced impressive results in selected medical domains. One of their drawbacks is that they often need very large amounts of data. Pre-existing datasets i...