AI-powered diagnostic tools are reshaping how bipolar disorder gets identified, using pattern recognition and data analysis to catch symptoms earlier than traditional methods. Machine learning algorithms now analyze mood patterns, sleep data, and behavioral signals to flag potential cases before the