User profiles for "author:Piyush Mathur"

Piyush Mathur

- Verified email at ccf.org - Cited by 636

Piyush Mathur

- Verified email at nbu.ac.in - Cited by 452

Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

B Vasey, M Nagendran, B Campbell, DA Clifton… - bmj, 2022 - bmj.com
A growing number of artificial intelligence (AI)-based clinical decision support systems are
showing promising performance in preclinical, in silico, evaluation, but few have yet …

[HTML][HTML] Bias in artificial intelligence algorithms and recommendations for mitigation

LH Nazer, R Zatarah, S Waldrip, JXC Ke… - PLOS digital …, 2023 - journals.plos.org
The adoption of artificial intelligence (AI) algorithms is rapidly increasing in healthcare. Such
algorithms may be shaped by various factors such as social determinants of health that can …

[HTML][HTML] Evaluation framework to guide implementation of AI systems into healthcare settings

S Reddy, W Rogers, VP Makinen, E Coiera… - BMJ health & care …, 2021 - ncbi.nlm.nih.gov
Objectives To date, many artificial intelligence (AI) systems have been developed in
healthcare, but adoption has been limited. This may be due to inappropriate or incomplete …

Arbuscular mycorrhiza: approaches for abiotic stress tolerance in crop plants for sustainable agriculture

R Kapoor, H Evelin, P Mathur, B Giri - Plant acclimation to environmental …, 2012 - Springer
Soil stresses such as salinity, drought, and heavy metals are major hindrances to crop
productivity as these can significantly decrease plant growth and production. Colonization …

Nanosilica facilitates silica uptake, growth and stress tolerance in plants

P Mathur, S Roy - Plant Physiology and Biochemistry, 2020 - Elsevier
Nanobiotechnology has gained considerable momentum in the field of plant sciences in the
last few years. Nanomaterials of various metal oxides has been utilized for enhancing …

Multimodal machine learning for automated ICD coding

K Xu, M Lam, J Pang, X Gao, C Band… - Machine learning …, 2019 - proceedings.mlr.press
This study presents a multimodal machine learning model to predict ICD-10 diagnostic
codes. We developed separate machine learning models that can handle data from different …

Engineered nanoparticles in plant growth: Phytotoxicity concerns and the strategies for their attenuation

P Mathur, R Chakraborty, T Aftab, S Roy - Plant Physiology and …, 2023 - Elsevier
In the agricultural sector, the use of engineered nanoparticles (ENPs) has been acclaimed
as the next big thing for sustaining and increasing crop productivity. A vast amount of …

Auxin-mediated molecular mechanisms of heavy metal and metalloid stress regulation in plants

P Mathur, DK Tripathi, F Baluška… - … and Experimental Botany, 2022 - Elsevier
Expeditious industrial development has prompted the upraised production and release of
colossal amounts of various heavy metals (HMs) and metalloids in the environment. Heavy …

Insights into the plant responses to drought and decoding the potential of root associated microbiome for inducing drought tolerance

P Mathur, S Roy - Physiologia Plantarum, 2021 - Wiley Online Library
Global increase in water scarcity is a serious problem for sustaining crop productivity. The
lack of water causes the degeneration of the photosynthetic apparatus, an imbalance in key …

Exogenous calcium (Ca2+) and verapamil-sensitive Ca2+ channel activity differentially modulates melatonin-mediated regulation of endogenous hydrogen sulphide …

S Mukherjee, MN Khan, P Mathur - South African Journal of Botany, 2023 - Elsevier
Although Ca 2+ has been known to be a modulator of abiotic stress signaling in plants, not
much information is available to decipher the interactive roles of calcium and melatonin in …