Table 1_Dynamic decline in estimated glomerular filtration rate associated with in-hospital mortality risk in acute ischemic stroke patients after endovascular therapy: evidence fr... by Yanping Lin (3639220)

“…Objectives<p>To investigate the association between dynamic changes in estimated glomerular filtration rate (eGFR) and in-hospital mortality risk in patients with acute ischemic stroke due to large vessel occlusion (LVO-AIS) undergoing endovascular therapy (EVT).…”

Supplementary file 1_Comparative analysis of accuracy and completeness in standardized database generation for complex multilingual lung cancer pathological reports: large language... by Hao Hang (7037264)

Table 1_Effects of education level on natural language processing in cardiovascular health communication.xlsx by Stanley Joseph (19282225)

Supplementary file 1_Effects of education level on natural language processing in cardiovascular health communication.xlsx by Stanley Joseph (19282225)

Machine Learning Models for High Explosive Crystal Density and Performance by Jack V. Davis (9175514)

“…The inexpensive, yet highly accurate predictions from our models should enable creation of future artificial intelligence (AI) models that are able to screen large numbers (>10⁶) of compounds to find the highest performing compounds in terms of crystal density, detonation velocity and detonation pressure.…”

Preference for the EIA – conjoint results. by Mehdi Mourali (10170245)

“…A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

Marginal means – Pooled across scenarios. by Mehdi Mourali (10170245)

“…A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

Sample attribute table. by Mehdi Mourali (10170245)

“…A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

Subgroup analysis – Political affiliation. by Mehdi Mourali (10170245)

“…A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

Sample scenario description. by Mehdi Mourali (10170245)

“…A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

AMCEs – Pooled across scenarios. by Mehdi Mourali (10170245)

“…A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

Methodological flowchart. by Mehdi Mourali (10170245)

“…A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

Preference for the EIA vs. ETA across scenarios. by Mehdi Mourali (10170245)

“…A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

Lateral ventricular wall whole mount immunofluorescence from brains of 2f1 <i>Lrig1</i>^{<em>T2A-iCreERT2/+</em>}<i>; Rosa26</i>^{<em>Ai14/+</em>} mice at 7 days, 1... by Hyung-song Nam (8914220)

“…The signal was further decreased by imaging with the 10x objective. The images from the 3 other mice at this time point were similar and not uploaded.…”

Changing the concentration of the inducer. by Rosalind Wenshan Pan (17174817)

Identifying functionally important sites in natural protein families. by Nicola Dietler (12551766)

“…Protein families are ordered by decreasing symmetrized AUC for ICOD. The mapping between protein family number and name is given in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012091#pcbi.1012091.s015" target="_blank">S1 Table</a>. …”

Table 1_Comparison of preoperative education by artificial intelligence versus traditional physicians in perioperative management of urolithiasis surgery: a prospective single-blin... by Hui Zhang (7197)

“…Although adequate preoperative education can reduce anxiety and improve outcomes, time and resource constraints often limit the depth and personalization of such interventions. Recent advances in AI, particularly large language models like GPT-4o and Ernie Bot, offer potential tools to supplement traditional education. …”

Data Sheet 1_Impact of artificial intelligence on electronic health record-related burnouts among healthcare professionals: systematic review.pdf by Berna Sarraf (21651629)

“…As modern health system explores technological solutions, artificial intelligence (AI) has gained attention for its potential to facilitate documentation processes and alleviate cognitive burden. …”

Image 2_Getah virus triggers ROS-mediated autophagy in mouse Leydig cells.tif by Fengqin Li (126568)

Image 6_Getah virus triggers ROS-mediated autophagy in mouse Leydig cells.jpg by Fengqin Li (126568)