AI is transforming healthcare—from diagnostics to patient advice

Artificial intelligence is reshaping how people access and receive medical guidance. Millions now turn to AI tools for health-related questions, with around 40 million users consulting ChatGPT daily. Meanwhile, hospitals and tech firms are joining forces to improve diagnostics and patient care through advanced AI systems.

OpenAI has recently introduced ChatGPT Health, a feature designed to help users interpret medical test results, prepare for doctor visits, and find general health advice. The tool is part of a broader push to integrate AI into everyday healthcare decisions. At the same time, the company is working with Memorial Sloan Kettering Cancer Center to explore AI applications in research, patient education, and administrative tasks.

Other major players are also advancing AI in medicine. Anthropic has launched Claude for Healthcare, a system aimed at supporting clinical workflows and improving how patients understand their conditions. In cancer care, Google DeepMind is collaborating with the same cancer centre to enhance reflectance confocal microscopy, a technique that could sharpen early detection of skin cancers.

New technologies, such as 360-degree total-body photography, are being tested to automatically spot suspicious lesions and track changes over time. These innovations aim to boost the accuracy of melanoma diagnoses. Yet, despite the progress, doctors stress that AI should complement—not replace—traditional medical evaluations. They warn that consumer health apps can sometimes deliver inconsistent advice, risking misdiagnosis or delayed treatment.

The rise of AI in healthcare reflects a growing demand for faster, more accessible medical insights. Hospitals are increasingly teaming up with tech companies to refine diagnostics, cut administrative burdens, and broaden access to information. While these tools offer new possibilities, medical professionals continue to highlight the need for human oversight in patient care.