Our new research blog driven by elements of artificial intelligence is online now. It is the first module of our CLiNSTORM(c) project to support medical and pharmaceutical developers with updated information about research activities, AI developments and everything you need to know, driven by Affinity’s SocializerHub®. Let us support with your medical research business. Please […]
Artificial Intelligence, Tele-ophthalmology, and IoT to Drive the Ophthalmic Diagnostic and Monitoring Devices Market
” Conventional ophthalmic diagnostic devices are bulky and non-portable, take a long time for analysis, require expertise, are uncomfortable for patients, and require frequent visits to the clinic or hospital,” said Dr. Sneha Maria Mariawilliam, Technical Insights Senior Research Analyst at Frost & Sullivan. “Going forward, these emerging technologies will support ophthalmologists in better understanding […]
Our global networking side E-Feasibility is online. E-Feasibility helps sponsors to pre-select and recruit investigators. Investigators can register for free and join our global network today.Do you have any contacts interested in working as clinical investigator? Feel free to share this post with people in your network. Be part of this amazing global network platform […]
Artificial intelligence can be used to diagnose cancer , predict suicide , and assist in surgery . In all these cases, studies suggest AI outperforms human doctors in set tasks. But when something does go wrong, who is responsible? Source: When AI in healthcare goes wrong, who is responsible?
Machine learning improves the prediction of febrile neutropenia in Korean inpatients undergoing chemotherapy for breast cancer
In the present study, multivariate analysis demonstrated predictive factors for FN, including age, staging, and taxane-based regimen. The lymphocyte count 5 days after chemotherapy was also a strong predictive factor for FN. Based on these findings, logistic regression showed an AUC of 0.870 for validation. Source: Machine learning improves the prediction of febrile neutropenia in Korean […]
Research Roundup: Artificial intelligence and medical errors, dissociation brain circuitry, ‘cellular compass’ in plant cells
Each week, The Daily’s Science & Tech section produces a roundup of the most exciting and influential research happening on campus or otherwise related to Stanford. Here’s our digest for the week of Sept 13 – Sept 19. Artificial intelligence may reduce medical errors Artificial intelligence sensors could help reduce medical errors and help clinicians […]
Reviewed by Emily Henderson, B.Sc. Sep 19 2020 Announcing a new article publication for BIO Integration journal. In this opinion article the authors Fengyi Zeng, Xiaowen Liang and Zhiyi Chen from The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China consider new roles for clinicians in the age of artificial intelligence (AI). Source: New […]
Will the future of addiction recovery take place on video conference screens and emailed notes? Even a few months ago, treating addiction patients remotely might seem like a stretch at first listen — metaphorically, geographically, and medicinally. Source: Telemedicine and addiction recovery: A new way forward?
More people have used virtual visits, chatbots and other digital health tools since the start of the Covid-19 pandemic. But what will it take for them to adopt these tools in the long run? According to a survey by Accenture, consumers listed the privacy and efficacy of digital health tools as their top two concerns. […]
Observed cases of MAL and ADD The actual recorded weekly mean of MAL and ADD cases along with the climatological rainfall (hereafter R/F), maximum temperature (hereafter TMx) and minimum temperature (hereafter TMn) over PNE and NGP regions are shown in Fig. 1 (X axes represent the weeks of a calendar year and Y axes for […]