Technology giant Tencent has begun a clinical trial in London of its AI program to diagnose Parkinson’s disease, Financial Times reported.

A machine learning tool for speech analysis has been shown capable of diagnosing childhood depression and anxiety with 80% accuracy.

A Harvard undergrad has created a computer program that can improve the treatment of tuberculosis, an infectious disease with unique challenges thanks to its shapeshifting ability to resist drugs.

A machine-learning algorithm has surpassed four commonly used methods for catching sepsis early in hospital patients, giving clinicians up to 48 hours to intervene before the condition has a chance to begin turning dangerous.  

Stanford researchers have demonstrated a way to remotely diagnose autism in children in Bangladesh.

A deep-learning algorithm trained entirely on open-source images has outperformed 136 of 157 dermatologists at classifying melanoma, according to a study running in the May edition of the European Journal of Cancer.

Researchers from the University of California, Los Angeles, have developed an artificial neural network capable of identifying and diagnosing prostate cancer almost as well as radiologists with a decade of experience.

A rare and difficult-to-diagnose genetic condition that raises LDL (bad) cholesterol to dangerous levels is now vulnerable to an AI tool.

A deep learning model trained on more than 1.5 million electrocardiograms and developed by a team at the Mayo Clinic improved detection rates for hyperkalemia in patients with chronic kidney disease (CKD), according to a study published April 3 in JAMA Cardiology.

Mental health researchers at Harvard and the University of Pennsylvania have developed a novel machine learning technique for predicting how bipolar patients will respond to two drugs commonly prescribed to treat the disorder, according to a study running in Bipolar Disorders.

Artificial intelligence is more effective at detecting cervical cancer than established lab tests, according to a pilot study out of Seoul, South Korea.

The promise of artificial intelligence to revolutionize healthcare is the topic of increasing research, with new publications every day devoted to the topic. One of these applications, according to an April 1 article in The Wall Street Journal, is using AI to listen to a person’s voice and detect a range of mental and physical ailments, including coronary artery disease (CAD).