The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
IEEE

Comparison of Lung Cancer Prediction Using Deep Learning and Machine Learning with UMAP Technique

Abstract: This Lung Cancer (LC) has often been identified as one of the deadliest diseases in human history. Among all the cancers, it is also one of the most prevalent and deadly. LC cases are rising ...
IEEE

Parameter-Decoupled Privacy-Preserving Personalized Federated Learning for Breast and Skin Cancer Prediction

Abstract: Early prediction of breast and skin cancer from medical images requires collaborative learning across institutions. However, data privacy constraints and data heterogeneity limit the ...
Frontiers

Harnessing the power of ANN for early detection and prediction of oral cancer

Introduction: Oral cancer affects millions of people worldwide, and early detection significantly improves treatment outcomes and survival rates. Conventional diagnostic approaches often face ...
GitHub

MediScan — AI Skin Disease Detection (Web + ML API)

MediScan is an AI-powered project that predicts **skin diseases** from images using a deep learning model. It provides a modern web interface (Next.js) where users can upload an image and receive a ...
Frontiers

Transforming cervical cancer pathological diagnosis through artificial intelligence: progress, performance, and barriers to clinical implementation

Objective: Cervical cancer faces significant pathological diagnosis challenges including pathologist shortages, subjective interpretation, and inconsistent detection rates. This systematic review ...
Medical Xpress

Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...