Monitoring the degree of comfort of shoes in-motion using triboelectric pressure sensors with an ultrawide detection range
Shoes play an important role in sports and human daily life. Here, an in-shoe sensor pad
(ISSP) attached to the vamp lining is based on a triboelectric nanogenerator (TENG) for …
(ISSP) attached to the vamp lining is based on a triboelectric nanogenerator (TENG) for …
Artificial intelligence and the future of global health
N Schwalbe, B Wahl - The Lancet, 2020 - thelancet.com
Concurrent advances in information technology infrastructure and mobile computing power
in many low and middle-income countries (LMICs) have raised hopes that artificial …
in many low and middle-income countries (LMICs) have raised hopes that artificial …
Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
10 years of health-care reform in China: progress and gaps in Universal Health Coverage
In 2009, China launched a major health-care reform and pledged to provide all citizens with
equal access to basic health care with reasonable quality and financial risk protection. The …
equal access to basic health care with reasonable quality and financial risk protection. The …
Artificial intelligence for clinical oncology
Clinical oncology is experiencing rapid growth in data that are collected to enhance cancer
care. With recent advances in the field of artificial intelligence (AI), there is now a …
care. With recent advances in the field of artificial intelligence (AI), there is now a …
Machine learning and deep learning in smart manufacturing: The smart grid paradigm
Industry 4.0 is the new industrial revolution. By connecting every machine and activity
through network sensors to the Internet, a huge amount of data is generated. Machine …
through network sensors to the Internet, a huge amount of data is generated. Machine …
The recent progress and applications of digital technologies in healthcare: a review
M Senbekov, T Saliev, Z Bukeyeva… - … of telemedicine and …, 2020 - Wiley Online Library
Background. The implementation of medical digital technologies can provide better
accessibility and flexibility of healthcare for the public. It encompasses the availability of …
accessibility and flexibility of healthcare for the public. It encompasses the availability of …
Reinforcement learning in healthcare: A survey
As a subfield of machine learning, reinforcement learning (RL) aims at optimizing decision
making by using interaction samples of an agent with its environment and the potentially …
making by using interaction samples of an agent with its environment and the potentially …
Use of AI-based tools for healthcare purposes: a survey study from consumers' perspectives
P Esmaeilzadeh - BMC medical informatics and decision making, 2020 - Springer
Background Several studies highlight the effects of artificial intelligence (AI) systems on
healthcare delivery. AI-based tools may improve prognosis, diagnostics, and care planning …
healthcare delivery. AI-based tools may improve prognosis, diagnostics, and care planning …
Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review
AT Young, D Amara, A Bhattacharya… - The lancet digital health, 2021 - thelancet.com
Artificial intelligence (AI) promises to change health care, with some studies showing proof
of concept of a provider-level performance in various medical specialties. However, there …
of concept of a provider-level performance in various medical specialties. However, there …