AI Breakthoughs in Healthcare and Medical: 2025 News

Healthcare AI News 7/9/25 - HIStalk

AI for Good Summit 2025 – Enabling AI for Health Innovation and Access

Google’s open MedGemma AI models could transform healthcare

WHO, ITU, WIPO showcase a new report on AI use in traditional medicine

UN summit confronts AI’s dawn of wonders and warnings

This week saw major progress in AI healthcare tools. Mediwhale's new **retinal scanning AI** provides full-body health insights from simple eye images, replacing invasive tests like blood draws. Already deployed in Dubai, Italy, and Malaysia, this technology helps doctors find hidden diseases early[1]. Google contributed significantly by releasing **open-source MedGemma models** that understand both medical images and text. The larger MedGemma 27B scored 87.7% on medical knowledge tests, nearly matching expensive commercial models. Hospitals in Massachusetts and Taiwan are testing these tools for chest X-ray analysis and traditional Chinese medicine applications[4].

In drug development, Isomorphic Labs achieved a milestone with **AI-designed drugs entering human trials**. Their technology models protein interactions to create cancer and neurology treatments faster than traditional methods[1]. Pharmaceutical companies in India reported using AI to cut early drug research time by 50% through advanced data analysis[1].

Research institutions unveiled practical AI tools this week. UCLA created an AI that turns structured medical records into **pseudo-notes** for clinical decisions[2]. The Mayo Clinic developed an AI that diagnoses surgical infections from patient-taken wound photos[2]. University of South Florida researchers built a real-time **pain assessment system for babies** using cameras and sensors in NICUs[2].

Funding trends highlighted AI's growing role, with US digital health startups raising **$6.4 billion** in 2025's first half. AI companies received 62% of this funding, including two mega-rounds for Abridge[2]. An AI security firm noted that hospitals unknowingly use about 70 AI applications, often embedded in common tools like Microsoft and Google products[2].

Global organizations focused on AI's responsible use in healthcare. The World Health Organization advanced its **AI for Health (AIH) initiative**, providing ethical guidelines and promoting equitable access[3]. WHO partnered with other UN agencies on a report about AI in traditional medicine[5]. The UN's **AI for Good Global Summit** in Geneva featured healthcare workshops, discussing how AI can address medical challenges worldwide[6].

Regulatory progress included the FDA granting **Breakthrough Device Designation** to Artera's AI tool for prostate cancer treatment[2]. Cleveland Clinic Abu Dhabi appointed AI executive Peng Xiao as board chair, signaling healthcare's growing ties with technology leadership[2].

These developments show AI becoming more accessible, effective, and integrated across global healthcare systems. From non-invasive diagnostics in multiple countries to open-source models anyone can use, the technology is helping doctors detect diseases earlier, develop treatments faster, and understand patients better.

This week brought exciting advances in healthcare AI. Mediwhale launched an **AI-powered retinal scan tool** that detects heart, kidney, and eye diseases from eye images, now used in hospitals across Dubai, Italy, and Malaysia[1]. Google released **open-source MedGemma AI models** that understand medical images and text, helping doctors in the US and Taiwan[4].

Isomorphic Labs announced **AI-designed drugs entering human trials**, potentially speeding up cancer treatment development[1]. Researchers created AI tools that turn medical records into notes, diagnose infections from wound photos, and monitor pain in newborn babies[2].

US digital health startups raised **$6.4 billion**, with most money going to AI companies like Abridge[2]. The World Health Organization promoted ethical AI use in healthcare through its **AI for Health initiative**[3][5], while the UN held an AI summit discussing healthcare applications[6].

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