Developers are creating productivity tools around GPT's image capabilities, with multiple projects emerging to address workflow friction points. However, malicious actors are simultaneously exploiting GPT's popularity by distributing fake ChatGPT installers containing remote access trojans on GitHub. For healthcare AI implementations, this signals a critical tension: while generative models offer clinical potential in radiology analysis and documentation support, the expanding attack surface around popular AI tools creates immediate security risks that must be addressed before enterprise deployment. Healthcare organizations evaluating GPT integration should implement strict vetting of third-party tools and establish air-gapped testing environments. The pace of both legitimate innovation and threat activity underscores why healthcare vendors need dedicated security protocols rather than consumer-grade AI solutions.