AI tools poised to transform global TB detection

Researchers have unveiled new AI tools, from smartphone cough analysis to child-friendly screening systems, which could ...
Becker's Hospital Review

Philips launches 1st detector-based, AI-powered spectral CT platform

Philips has introduced Verida, described as the first detector-based spectral CT system fully powered by AI. According to a Nov. 30 news release, Verida integrates AI across the imaging chain, from ...
Opinion
The LancetOpinion

Synthetic data, synthetic trust: navigating data challenges in the digital revolution

In the evolving landscape of artificial intelligence (AI), the assumption that more data lead to better models has driven unchecked reliance on synthetic data to augment training datasets. Although ...
IEEE

A Comprehensive Review of Deep Learning-Based Anomaly Detection Methods for Precision Agriculture

Abstract: Anomaly detection is a challenging problem in various application domains of Artificial Intelligence, such as in video surveillance, the Internet of Things, and notably, precision ...
IEEE

Symptom-Based Machine Learning Approach for Early COVID-19 Detection

Abstract: Since the global spread of COVID-19 began in November 2019, it has become a widely searched term online. COVID-19 remains a severe public health issue requiring ongoing efforts until a ...
GitHub

detection-model

This project trains machine learning models to predict cancer malignancy and, if malignant, classify the subtype. It provides a Streamlit app with three modes: manual input, CSV upload, and accuracy ...