Artificial intelligence and machine learning in precision and genomic medicine
S Quazi - Medical Oncology, 2022 - Springer
The advancement of precision medicine in medical care has led behind the conventional
symptom-driven treatment process by allowing early risk prediction of disease through …
symptom-driven treatment process by allowing early risk prediction of disease through …
Acceptability of artificial intelligence (AI)-led chatbot services in healthcare: A mixed-methods study
T Nadarzynski, O Miles, A Cowie, D Ridge - Digital health, 2019 - journals.sagepub.com
Background Artificial intelligence (AI) is increasingly being used in healthcare. Here, AI-
based chatbot systems can act as automated conversational agents, capable of promoting …
based chatbot systems can act as automated conversational agents, capable of promoting …
Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges
Cancer is an aggressive disease with a low median survival rate. Ironically, the treatment
process is long and very costly due to its high recurrence and mortality rates. Accurate early …
process is long and very costly due to its high recurrence and mortality rates. Accurate early …
On the interpretability of artificial intelligence in radiology: challenges and opportunities
As artificial intelligence (AI) systems begin to make their way into clinical radiology practice,
it is crucial to assure that they function correctly and that they gain the trust of experts …
it is crucial to assure that they function correctly and that they gain the trust of experts …
Artificial convolutional neural network in object detection and semantic segmentation for medical imaging analysis
R Yang, Y Yu - Frontiers in oncology, 2021 - frontiersin.org
In the era of digital medicine, a vast number of medical images are produced every day.
There is a great demand for intelligent equipment for adjuvant diagnosis to assist medical …
There is a great demand for intelligent equipment for adjuvant diagnosis to assist medical …
Do no harm: a roadmap for responsible machine learning for health care
Interest in machine-learning applications within medicine has been growing, but few studies
have progressed to deployment in patient care. We present a framework, context and …
have progressed to deployment in patient care. We present a framework, context and …
AlphaFold, artificial intelligence (AI), and allostery
R Nussinov, M Zhang, Y Liu, H Jang - The Journal of Physical …, 2022 - ACS Publications
AlphaFold has burst into our lives. A powerful algorithm that underscores the strength of
biological sequence data and artificial intelligence (AI). AlphaFold has appended projects …
biological sequence data and artificial intelligence (AI). AlphaFold has appended projects …
[HTML][HTML] Role of artificial intelligence applications in real-life clinical practice: systematic review
Background Artificial intelligence (AI) applications are growing at an unprecedented pace in
health care, including disease diagnosis, triage or screening, risk analysis, surgical …
health care, including disease diagnosis, triage or screening, risk analysis, surgical …
Recent advances in wearable electromechanical sensors—Moving towards machine learning-assisted wearable sensing systems
With the assistance of powerful machine learning algorithms, data collecting and processing
efficiency of wearable electromechanical sensors are highly improved. Meanwhile, the …
efficiency of wearable electromechanical sensors are highly improved. Meanwhile, the …
[HTML][HTML] Artificial intelligence applications in health care practice: scoping review
Background Artificial intelligence (AI) is often heralded as a potential disruptor that will
transform the practice of medicine. The amount of data collected and available in health …
transform the practice of medicine. The amount of data collected and available in health …