The present and future of artificial intelligence in healthcare
From radiology to clinical language models, from drug discovery to obstetrics — we cover the most current developments in medical AI, grounded in reliable sources and written in plain English and Turkish.
Newly added and updated
June 9, 2026 — all articles refreshed with the latest literature. New topic: Medical AI Agents.
Agentic AI in Medicine: What Autonomous AI Agents Have and Haven't Achieved
Autonomous AI agents that plan, use tools and take action are rapidly entering medicine; benchmark results are striking, yet real-world evidence, cost a…
UpdatedImaging & RadiologyDeep Learning in Radiology and Medical Imaging: Where Does the Evidence Stand in 2026?
The first randomized trial in mammography (MASAI) found AI-supported reading non-inferior to double reading, yet no imaging AI has shown a mortality ben…
UpdatedClinical AI & LLMsAI-Driven Triage and Symptom Assessment: The 2026 Evidence Landscape
AI-based symptom assessment tools can match clinicians on triage accuracy in vignette settings, yet real-world validation, over-triage, and distribution…
UpdatedDrug Discovery & GenomicsAI for Disease Prediction and Early Detection: The 2025-2026 Evidence Scorecard
AI now stretches from spotting cancer in blood to reading mammograms and predicting mortality from an ECG; yet the randomized trials of 2025-2026 draw a…
UpdatedSurgical & RoboticsSurgical Robotics and AI: What We Achieved in 2025-2026, and What We Have Not Yet Proven
2024-2025 broke Intuitive's long-standing dominance, turned force feedback into early clinical evidence, and saw an autonomous system complete a learned…
UpdatedObstetrics & ReproductiveArtificial Intelligence in Obstetrics: Automated Fetal Biometry and CTG Interpretation
AI now measures fetal biometry at expert level and shortens scan time, yet there is still no randomized evidence that it improves clinical outcomes in c…
In-depth coverage across six core areas
We examine AI in healthcare under headings with high clinical relevance.
Imaging & Radiology
AI's role in interpreting X-ray, CT, MRI, ultrasound, and pathology images — screening, detection, and reporting use cases.
View articlesClinical AI & Medical LLMs
How large language models are used in clinical notes, diagnostic support, patient communication, and administrative work — and where their limits lie.
View articlesDrug Discovery & Genomics
Molecule design, target discovery, genomic data analysis, and AI's accelerating effect on personalized medicine.
View articlesSurgical & Robotics
Robotic surgical systems, intraoperative image guidance, skill analytics, and the spectrum of surgical autonomy.
View articlesObstetrics & Reproductive Health
AI applications in fetal ultrasonography, cardiotocography interpretation, embryo selection, and pregnancy risk prediction.
View articlesEthics & Future
Algorithmic bias, privacy, regulatory clearance, explainability, and the societal impact of AI in healthcare.
View articlesLatest developments and analyses
A selection from the most-read and most-current pieces.
Deep Learning in Radiology and Medical Imaging: Where Does the Evidence Stand in 2026?
The first randomized trial in mammography (MASAI) found AI-supported reading non-inferior to double reading, yet no imaging AI has shown a mortality ben…
Updated Clinical AI & LLMsAI-Driven Triage and Symptom Assessment: The 2026 Evidence Landscape
AI-based symptom assessment tools can match clinicians on triage accuracy in vignette settings, yet real-world validation, over-triage, and distribution…
Updated Drug Discovery & GenomicsAI for Disease Prediction and Early Detection: The 2025-2026 Evidence Scorecard
AI now stretches from spotting cancer in blood to reading mammograms and predicting mortality from an ECG; yet the randomized trials of 2025-2026 draw a…
Updated Surgical & RoboticsSurgical Robotics and AI: What We Achieved in 2025-2026, and What We Have Not Yet Proven
2024-2025 broke Intuitive's long-standing dominance, turned force feedback into early clinical evidence, and saw an autonomous system complete a learned…
Updated Obstetrics & ReproductiveArtificial Intelligence in Obstetrics: Automated Fetal Biometry and CTG Interpretation
AI now measures fetal biometry at expert level and shortens scan time, yet there is still no randomized evidence that it improves clinical outcomes in c…
Updated Ethics & FutureArtificial Intelligence in Healthcare: Regulation and the Future
By 2025-2026, AI in healthcare has reached a threshold where the regulatory framework is maturing, yet clinical evidence still rests on a "process gains…
Cem Akaltun, MD
OB/GYN specialist · Publisher & editor
Bringing a working clinician's perspective, I evaluate developments in healthcare AI and aim to provide English- and Turkish-speaking readers with an evidence-based, accessible resource.