Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Frontiers

Quantitative analysis of gait and balance using deep learning on monocular videos and the timed up and go test in idiopathic normal-pressure hydrocephalus

Background: A vision-based gait analysis system using deep learning algorithms for simple monocular videos was validated to estimate temporo-spatial gait parameters in idiopathic normal-pressure ...
IEEE

A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision

Abstract: Deep learning has the potential to revolutionize sports performance, with applications ranging from perception and comprehension to decision. This article presents a comprehensive survey of ...
IEEE

A Geometric Deep Learning Approach to Traffic Flow Shockwave Prediction on Freeways Using Vehicle Trajectory Data and HD Map

Abstract: Accurately predicting the occurrence, amplitude, and propagation speed of traffic flow shockwaves are essential for dynamic traffic control to mitigate traffic congestion. However, ...
ascopubs.org

Identifying distant metastatic breast cancer recurrence: Validity of large language model and discrete-field algorithm approaches versus manual chart review.

Association between prostate specific membrane antigen imaging and initial treatment for prostate cancer among commercial insurance beneficiaries. This is an ASCO Meeting Abstract from the 2025 ASCO ...
Journal of Medical Internet Research

Deep Learning Algorithms in the Diagnosis of Basal Cell Carcinoma Using Dermatoscopy: Systematic Review and Meta-Analysis

Conclusions: This meta-analysis suggests that deep learning algorithms based on dermatoscopy exhibit strong diagnostic performance for detecting BCC. However, the retrospective design of many included ...