Healthcare
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AIJ Contributor7 May 2026
Immunai and AstraZeneca Expand AI-Driven Biomarker Project
In the increasingly crowded AI for drug discovery sector, it’s tough to tell which startups are set to drive clinical…
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AIJ Contributor7 May 2026
Wisdom Ventures Raises $77.7M Fund II to Scale the Mindful AI Revolution
In the hyper-competitive world of Silicon Valley venture capital, “mindfulness” and “top-quartile returns” aren’t always used in the same sentence.…
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Balla6 May 2026
7 Best Laser Optics Manufacturers Powering AI and Advanced Computing
AI is increasing in demand for faster computing, smarter sensing, and more advanced manufacturing systems. Many of the technologies behind…
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AIJ Guest Post6 May 2026
How AI is Reshaping Access to Healthcare in Underserved Communities
Access to basic healthcare is typically characterised as a capacity-related issue, requiring extra funds, qualified staff and medical professionals, and more hospitals…
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AIJ Guest Post5 May 2026
How AI Is Helping Home Care Agencies Navigate the Growing Caregiver Shortage and Improve Caregiver Retention
The home care industry is facing a defining moment. Demand for in-home care is surging, yet agencies across the United…
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AIJ Thought Leader4 May 2026
AI in Healthcare: Improving Patient Experience
In the medical services, there has been integration of AI in healthcare that provides personalized and patient-centric solutions. Right from diagnosis to…
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AIJ Guest Post1 May 2026
Why Healthcare Is AI’s Biggest Unfinished Business
Every industry claims AI is transforming it. Healthcare might be the one where the gap between potential and reality is widest. Hospitals and clinics sit on enormous volumes of patient data. They run thousands of repetitive workflows daily. They face chronic staffing shortages with no relief in sight. On paper, healthcare is the perfect environment for AI to deliver immediate, measurable value. In practice, most of that value is still sitting on the table. The reason isn’t technology. It’s where the industry has been pointing it. The Diagnostic Obsession For the past decade, healthcare AI investment has disproportionately chased clinical applications. Image recognition for radiology. Predictive models for sepsis. Drug discovery pipelines. These are important problems, but they’re also the hardest to deploy at scale because they require regulatory approval, clinical validation, and physician trust that takes years to build. Meanwhile, the operational side of healthcare has barely been touched. The scheduling, the outreach, the…
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AIJ Guest Post30 April 2026
The Future Of Personalized Healthcare Through AI And Advanced Treatments
A diagnosis used to rely heavily on patterns, averages, and educated assumptions. Today, that approach is being replaced by something…
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AIJ Guest Post30 April 2026
The Hidden Costs of AI Adoption: Why Off-the-Shelf LLMs Fail in Healthcare and Fintech
There’s a moment most product teams recognize: Someone in a leadership meeting says, Why don’t we just plug in GPT…
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AIJ Guest Post20 April 2026
How AI Is Changing How Small Business Owners Find the Best Health Insurance
Quick answer: AI can shortlist health plan options in under an hour, but the best health insurance for small business…
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