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2024 Predictions about Artificial Intelligence

As 2023 draws to a close, we asked our experts from across Mass General Brigham what exciting scientific breakthroughs or advancements they are anticipating in 2024. Many of our experts predict that artificial intelligence (AI) will reshape the continuum of care. Experts from across our system are conducting rigorous research on new and emerging technologies to inform the responsible incorporation of AI into care delivery, workforce support, and administrative processes.

Read more 2024 predictions:

“In 2024, machine learning and artificial intelligence (AI) will drive significant advancements in neurosurgery and medicine. These technologies will enable the creation of personalized treatment plans by analyzing patient data, improving surgical precision and enhancing post-operative monitoring. AI-powered diagnostic tools will assist neurosurgeons in early disease detection and accurate characterization. Additionally, AI-driven data analysis in neuroscience research will uncover valuable insights, potentially leading to breakthroughs in understanding and treating neurological disorders. Overall, AI will continue to revolutionize neurosurgery, offering more effective, personalized care and advancing our knowledge of the brain.”

Omar Arnaout, MD 
Neurosurgeon, Department of Neurosurgery
Brigham and Women’s Hospital

“For 2024, I predict several medical and scientific advances. First, the integration of artificial intelligence (AI) into radiology practices will revolutionize diagnostic precision and streamline efficiency. Second, the evolution of theranostics, a field merging diagnostic procedures with therapeutic applications, will continue to further advance. Third, liquid biopsies will be used to non-invasively detect disease biomarkers in blood, urine, and sputum.” 

Manisha Bahl, MD 
Physician Investigator, Department of Radiology
Massachusetts General Hospital

“We will see a breakthrough that will allow us to efficiently update and edit generative AI models, such as large language models, so that they are safe, effective and current with clinical knowledge. This will be a major leap toward transformative clinical-AI integration because we will have more control to ensure high-quality output that adapts to new standards of care. Reliable models, refined for expert-level decision-support and education, will be key for clinical translation.” 

Danielle Bitterman, MD 
Assistant Professor, Department of Radiation Oncology
Brigham and Women’s Hospital
Faculty Member, Artificial Intelligence in Medicine Program
Mass General Brigham

“Production-ready, large language model-powered chatbots will gain popularity among patients as an initial triage tool. We will see the beginnings of market consolidation in the proliferation of AI companies — some of which are building feature sets and some of which are building companies.  I also predict that large incumbents like Microsoft, Amazon, and Alphabet will strengthen their position in healthcare AI through key acquisitions, particularly in the LLM (Large Language Models) space.” 

Marc Succi, MD
Mass General Brigham Radiology
Mass General Brigham Innovation

“AI-inspired robots as supportive caregivers in the home of people with severe spinal cord injury. We are studying the safety and feasibility of a semi-autonomous robot to boost functional independence and reduce caregiver burden for people with severe spinal cord injury.”

Randy D Trumbower, PT, PhD
Associate Professor, PM&R, SCI Division
Executive Director of the Travis Roy Center for Enhanced
Spaulding Rehabilitation Hospital