In 2026, clinical trial teams are focusing on managing uncertainty and identifying high-impact areas for artificial intelligence (AI) adoption to remain competitive[original content]. AI in healthcare will relieve doctors from administration and increase their capacity for patients[1]. Microsoft's MAI-DxO system achieved a success rate of 85.5% in diagnosing complex cases, while experienced clinicians achieved around 20%[1][3]. AI acts as a diagnostic panel of virtual specialists and the doctor makes the final decision[3]. In 2026, AI will move from research to real deployment in medicine[1]. AI will become an active participant in research, proposing hypotheses and experiments, speeding up discoveries from years to months in fields such as biology or chemistry[1][3]. These trends will help address the global shortage of health professionals, estimated at 11 million by 2030[3].